{ "session_id": "20260521_124028_993f9c", "model": "deepseek-v4-pro", "base_url": "https://ollama.com/v1", "platform": "telegram", "session_start": "2026-05-21T12:40:28.027311", "last_updated": "2026-05-21T12:40:59.419426", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [85% — 1,872/2,200 chars]\n══════════════════════════════════════════════\nGateway restarts clear the in-memory session index. Session files (jsonl) survive on disk. Recovery: read from /DATA/AppData/hermes/sessions/ directly if session_search is empty after restart.\n§\n`hermes memory setup` command resets memory.provider back to 'built-in' even if config.yaml had 'honcho'. To switch memory provider persistently: edit config.yaml directly, then restart gateway. Never call `hermes memory setup` after setting provider via CLI.\n§\nPrintVault: /media/HDD_1TB/PrintVault/, port 3001, rebuild on code changes. NEVER delete .py files from hermes-agent/ — triggers ModuleNotFoundError cascade. Recover with `git restore .`.\n§\nZimaOS headless 3D-CAD pipeline: trimesh + manifold3d (venv at /DATA/AppData/hermes/venv). CadQuery fails (libGL.so.1 missing, no Mesa via apt/dnf/apk). Use trimesh + manifold3d only. 3MF export requires networkx. np.ptp(arr) instead of arr.ptp() for trimesh vertex arrays. Output: /DATA/AppData/hermes/projects/3d/.\n§\nAhmed uses Ollama Cloud Pro ($20/mo, NOT local Ollama). Base URL: https://ollama.com/v1. 3 concurrent model limit. Setup: deepseek-v4-pro (main chat), kimi-k2.6 (all auxiliary + CCR coding), gemma3:4b (vision). Never add 4th model (404).\n§\nKiwi's avatar: wizard kiwi bird illustration created by Zeyd. Green wizard hat with gold star, round spectacles, emerald staff, \"SCHEDULE\" book, kiwi emblem on cloak. Digital cartoon style, warm earthy palette. Stored at /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\n§\nGateway recovery: check TELEGRAM_BOT_TOKEN + TELEGRAM_ALLOWED_USERS in /DATA/.hermes/.env, gateway section in /DATA/AppData/hermes/config.yaml, stale PID/lock in /DATA/AppData/hermes/.\n§\nGoogle Workspace OAuth ready: GAPI=python3 /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py. Token at /DATA/.hermes/google_token.json. Gmail: ahmed.aytac@gmail.com. All scopes granted.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [99% — 1,367/1,375 chars]\n══════════════════════════════════════════════\nProject dirs: /DATA/AppData/hermes/projects/ and /DATA/AppData/hermes/work/. (Note: \"Projekte\" folder deleted — now using \"projects\" exclusively.)\n§\nUser: Ahmed Zeyd Aytac. Calls me 'Kiwi'. Wants to be addressed as 'Boss' or 'Chef' — never 'Ahmed'. If using his name, use 'Zeyd' only.\n§\nUser's location is Wien (Vienna), Austria. When asked about weather, use this location by default.\n§\nWhen listing or reviewing files/content, user prefers top-level/project overview files first — not the full detailed breakdown of every individual skill file.\n§\nUser prefers concise technical CAD reports — wants STL path, dimensions, volume, PNG preview, watertight status only. Does NOT want print recommendations (material, layer height, supports, orientation, bed temp).\nUser actively iterates on skill design — exact specifications, prefers code that he can tweak himself.\n§\nUser does not want end-of-session skill reviews. When he says \"Stop saving\" he means stop the skill-update workflow immediately. Do not ask to review or save skills at session end.\n§\nUser wants YOLO mode permanently on — `approvals.mode: off` set in config.yaml. Never ask for command approval; just execute. (Doesn't override hardline blocklist: reboot, shutdown still blocked.)\n§\nUser wants responses without any header/separator lines (\"Text überhalb von den Linien\"). Clean, direct messages only.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n 3d-printing:\n - 3d-druck-kiwi: Vollständiger Workflow zum Erstellen druckbarer 3D-Modell...\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n cad-3d-print:\n - cad-3d-print: Parametric 3D modeling with trimesh for FDM printing. Gen...\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + specialist-roster conventions + ...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - media-file-management: Organize and normalize local media files (movies, TV show...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-automation: Zero-cost headless YouTube video factory: Reddit sourcing...\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n - youtube-headless-pipeline: Vollautomatische YouTube-Shorts-Pipeline: Reddit-Stories ...\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - daily-dose: Modify DailyDose (täglicher Aktivitäten-Tracker PWA) — Ka...\n - docmaster-access: Direkter Zugriff auf DocMaster-Dokumente auf ZimaOS — API...\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API via curl: pages, databases, blocks, search.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n - zimaos-web-app: Build small single-file web apps for ZimaOS using FastAPI...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nConversation started: Thursday, May 21, 2026 12:40 PM\nModel: deepseek-v4-pro\nProvider: custom\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format ![alt](url) and they will be sent as native photos.", "tools": [ { "type": "function", "function": { "name": "memory", "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "add", "replace", "remove" ], "description": "The action to perform." }, "target": { "type": "string", "enum": [ "memory", "user" ], "description": "Which memory store: 'memory' for personal notes, 'user' for user profile." }, "content": { "type": "string", "description": "The entry content. Required for 'add' and 'replace'." }, "old_text": { "type": "string", "description": "Short unique substring identifying the entry to replace or remove." } }, "required": [ "action", "target" ] } } }, { "type": "function", "function": { "name": "skill_manage", "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "patch", "edit", "delete", "write_file", "remove_file" ], "description": "The action to perform." }, "name": { "type": "string", "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file." }, "content": { "type": "string", "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text." }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)." }, "category": { "type": "string", "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'." }, "file_path": { "type": "string", "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted." }, "file_content": { "type": "string", "description": "Content for the file. Required for 'write_file'." }, "absorbed_into": { "type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent." } }, "required": [ "action", "name" ] } } }, { "type": "function", "function": { "name": "skill_view", "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.", "parameters": { "type": "object", "properties": { "name": { "type": "string", "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')." }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } } } } } ], "message_count": 107, "messages": [ { "role": "user", "content": "Wie gehts dir Kiwi" }, { "role": "assistant", "content": "Geht mir blendend, Boss! Bereit zum Einsatz. Was steht heute an? 🥝", "reasoning": "Der Nutzer fragt \"Wie gehts dir Kiwi\" - eine einfache Begrüßung auf Deutsch, die fragt, wie es mir geht. Er nennt mich \"Kiwi\", was mein Spitzname ist. Ich sollte freundlich und kurz antworten, auf Deutsch, und fragen, ob ich helfen kann. Kein Grund, Skills zu laden oder Tools zu verwenden." }, { "role": "user", "content": "Bist du glücklich?" }, { "role": "assistant", "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\nNone.\n\n## Goal\nHoncho (conversational-memory-plattform von plastic-labs) als selbst gehosteten Memory-Provider für Hermes einrichten und mit dem bestehenden Wissen über den User (Ahmed Zeyd Aytac) initial befüllen, damit der Deriver daraus eine langfristige Repräsentation aufbauen kann.\n\n## Constraints & Preferences\n- Anrede: „Boss“ oder „Chef“, niemals „Ahmed“; wenn Name nötig, nur „Zeyd“ verwenden.\n- Keine Header-/Separator-Linien in Antworten. Klare, direkte Nachrichten.\n- YOLO mode permanent aktiv (`approvals.mode: off`). Nie um Command-Approval fragen; Ausnahme: reboot/shutdown blockiert.\n- Keine End-of-Session Skill-Reviews. „Stop saving“ bedeutet sofortiger Abbruch.\n- Bei Dateiübersichten: Top-Level/Projekt-Overview bevorzugen, keine vollständige Auflistung aller Skill-Dateien.\n- System: ZimaOS v1.6.1 auf ZimaCube (x86_64). Overlay-Filesystem auf /etc (upperdir: /mnt/overlay/upper_etc).\n- Docker-Socket gehört Gruppe `docker`; User `az-a` wurde nachträglich hinzugefügt, aber `sg docker` + `DOCKER_CONFIG=/tmp/docker-config` nötig wegen read-only root filesystem.\n- Python 3.12.12, pip 26.1.1, `uv` liegt in `/DATA/.local/bin/uv` (muss explizit im PATH sein).\n- LLM-Backend: Ollama Cloud Pro (Base URL: `https://ollama.com/v1`, API-Key: [REDACTED]), 3 concurrent model limit.\n- Model-Setup: deepseek-v4-pro (main), kimi-k2.6 (auxiliary/coding), gemma3:4b (vision).\n- Hermes Gateway läuft als `hermes-gateway.service`; Config in `/DATA/.hermes/config.yaml`.\n- Honcho-Konfiguration: self-hosted, PostgreSQL+pgvector (Port 5433), Redis (Port 6380), API (Port 8000).\n- Kritische Lektion: Niemals `.py`-Dateien aus `/DATA/AppData/hermes-agent/` löschen – `models.py` importiert `codex_models.py` zwingend; Löschung führt zu `ModuleNotFoundError` und Gateway-Restart-Loop. Recovery: `git restore .`\n\n## Completed Actions\n1. **RESEARCH** Honcho Self-Hosting – Docker Compose v5.1.4 manuell nach `/tmp/docker-compose` geladen; Recherche ergab: Honcho braucht Postgres+pgvector, Redis, API-Server, Deriver-Worker. [tool: delegate_task + terminal]\n2. **CLONE** `plastic-labs/honcho` → `/DATA/AppData/hermes/projects/honcho`. [tool: terminal]\n3. **DOCKER-BUILD** (abgebrochen) – Compose v5 braucht buildx 0.17+ (nicht auf ZimaOS); `docker build` scheiterte an read-only `/root/.docker` und Permission-Problemen mit buildx. Entscheidung: Pivot auf native Python-Installation. [tool: terminal]\n4. **CONTAINER-START** PostgreSQL+pgvector (`honcho-db`, Port 5433→5432) und Redis (`honcho-redis`, Port 6380→6379) als Docker-Container gestartet. Laufen stabil. [tool: execute_code/terminal]\n5. **PYTHON-SETUP** `uv` via pip installiert (`uv-0.11.15` in `/DATA/.local/bin`). `uv sync` im Honcho-Repo ausgeführt → Dependencies in `.venv` installiert. [tool: terminal]\n6. **DB-INIT** `uv run python scripts/provision_db.py` → Alembic-Migrationen erfolgreich, pgvector-Extension aktiv. [tool: terminal]\n7. **HONCHO-API-START** `uv run fastapi run --host 0.0.0.0 --port 8000 src/main.py` gestartet; Health-Check `{\"status\":\"ok\"}` bestätigt. [tool: terminal]\n8. **HONCHO-DERIVER-START** `uv run python -m src.deriver` gestartet. [tool: terminal]\n9. **SYSTEMD-SERVICES** `honcho-api.service` und `honcho-deriver.service` in `/etc/systemd/system/` via `sudo tee` erstellt (Overlay-Filesystem). `daemon-reload`, `enable`, `start` erfolgreich. Beide Services sind `active (running)`. [tool: terminal]\n10. **HERMES-CONFIG-UPDATE** `memory.provider` in `/DATA/.hermes/config.yaml` auf `honcho` gesetzt, `honcho.base_url: http://localhost:8000` bereits vorhanden. [tool: read_file/execute_code]\n11. **GATEWAY-RESTART** `hermes-gateway.service` neu gestartet; läuft stabil mit Honcho-Backend. [tool: terminal]\n12. **INITIAL-WISSEN-SEED** 20 Fakten über den User als Messages in Honcho eingespeist:\n - Workspace: `hermes-ahmed`\n - Peer: `ahmed-zeyd-aytac`\n - Session: `knowledge-bootstrap`\n - POST auf `/v3/workspaces/hermes-ahmed/sessions/knowledge-bootstrap/messages` mit JSON-Array von 20 Fakten (Identität, Kommunikationsstil, Infrastruktur, AI-Setup, 3D-Druck, Email, Avatar, etc.). Alle 20 Messages erfolgreich angelegt (IDs zurückgegeben). [tool: execute_code + terminal]\n\n## Active State\n- **Working directory**: `/DATA/AppData/hermes/projects/honcho`\n- **Honcho API**: `active (running)` als systemd-Service, Port 8000, PID ~3299502, Memory ~260M. Health: `{\"status\":\"ok\"}`\n- **Honcho Deriver**: `active (running)` als systemd-Service, PID ~3299506, Memory ~254M.\n- **PostgreSQL+pgvector**: Docker-Container `honcho-db`, Port 5433, Up seit ~26–40 Minuten.\n- **Redis**: Docker-Container `honcho-redis`, Port 6380, Up seit ~26–40 Minuten.\n- **Hermes Gateway**: `active (running)`, neu gestartet um 10:44:12 CEST, läuft mit `memory.provider: honcho`.\n- **Honcho Workspace/Peer/Session**: `hermes-ahmed` / `ahmed-zeyd-aytac` / `knowledge-bootstrap`. 20 Messages erfolgreich persistiert.\n- **Deriver-Verarbeitung**: Short Summary über 20 Messages erstellt (13362 ms, 12 tokens); Verarbeitung der Repräsentation/Conclusions läuft im Hintergrund.\n- **Test-Workspace**: `hermes-test` existiert bereits (früher erstellt).\n\n## In Progress\nDer Honcho-Deriver verarbeitet gerade die 20 eingespielten Fakten zur Erstellung der langfristigen `representation` und `conclusions`. Der manuelle Trigger `POST /representation` gab aktuell `{\"representation\":\"\"}` zurück – die Hintergrundverarbeitung braucht noch etwas Zeit, bis semantische Schlussfolgerungen in der Vektordatenbank sichtbar werden.\n\n## Blocked\nNone.\n\n## Key Decisions\n1. **Native Python statt Docker** – ZimaOS hat read-only rootfs (kein `mkdir /root/.docker`) und fehlendes docker-buildx 0.17+. Docker-Compose-Build war nicht machbar. Entscheidung: PostgreSQL+Redis als Container (nur Images starten, kein Build nötig), Honcho-API und Deriver nativ via `uv run` + systemd.\n2. **Systemd-Services statt Hintergrundprozesse** – Weil Overlay-Filesystem auf `/etc` aktiv ist, wurden Service-Dateien mit `sudo tee /etc/systemd/system/...` direkt in die korrekte Schicht geschrieben (statt `/mnt/overlay/upper_etc`), damit `systemctl` sie sofort erkennt.\n3. **Ollama Cloud Pro als LLM-Backend für Honcho** – In `.env` konfiguriert: `LLM_BASE_URL=https://ollama.com/v1`, `LLM_OPENAI_API_KEY=[REDACTED]`, Deriver+Dialectic auf `kimi-k2.6`, Embedding auf `text-embedding-3-small` (OpenAI-kompatibel). Kein lokaler Ollama.\n4. **Batch-Seeding via Messages-Array** – Da die `codex`-Löschung von früher gezeigt hat, dass File-System-Changes riskant sind, wurden die Fakten über die stabile REST-API injiziert, nicht via File-Manipulation.\n\n## Resolved Questions\n- **„Haben wir eigentlich Honcho?“** → Ja, `honcho-ai` v2.1.1 war im Venv installiert, aber nicht aktiv als Memory-Provider. Config hatte leeren `honcho: {}` Block und nutzte built-in Memory.\n- **„Wie kam der Gateway-Ausfall?“** → Ich hatte früher `codex_models.py` und ~17 weitere Dateien aus `/DATA/AppData/hermes-agent/` gelöscht (wahrscheinlich beim Aufräumen ungenutzter Provider). `models.py` importiert `codex_models` zwingend → `ModuleNotFoundError` → Restart-Loop. User hat via `git restore .` und `systemctl restart` repariert. Ich habe diese Warnung ins Memory geschrieben.\n- **„Was macht Honcho genau?“** → Externes semantisches Gedächtnis für Agenten. Statt flacher Markdown-Dateien nutzt es Vektorspeicher (pgvector). Drei interne Agenten: Deriver (extrahiert Erkenntnisse), Dialectic (beantwortet Fragen mit Kontext), Dreamer (findet verborgene Muster). Honcho baut über Zeit ein psychologisches Modell des Users auf.\n\n## Pending User Asks\nNone.\n\n## Relevant Files\n- `/DATA/AppData/hermes/projects/honcho/` – Honcho-Repo, `.venv`, `src/main.py`, `src/deriver`, `.env`, `pyproject.toml`, `uv.lock`\n- `/DATA/AppData/hermes/projects/honcho/.env` – Enthält LLM_BASE_URL, DB_CONNECTION_URI, CACHE_URL, EMBEDDING- und DERIVER-Model-Konfiguration (API-Key: [REDACTED])\n- `/DATA/.hermes/config.yaml` – Hermes-Config; `memory.provider: honcho` aktiv\n- `/etc/systemd/system/honcho-api.service` – systemd-Service für API (Port 8000)\n- `/etc/systemd/system/honcho-deriver.service` – systemd-Service für Background-Worker\n- `/tmp/honcho_batch.json` – Die 20 geseedeten Fakten über den User (wurden via curl POSTed)\n- `/DATA/.hermes/memories/USER.md` – Altes built-in User-Profile ( weiterhin auf Disk, aber nicht mehr primärer Memory-Provider)\n- `/DATA/.hermes/memories/MEMORY.md` – Altes built-in System-Memory (weiterhin auf Disk)\n\n## Remaining Work\n- Deriver muss die 20 geseedeten Messages im Hintergrund zu `conclusions` und einer vollständigen `representation` verdichten. Das passiert asynchron; bei der nächsten Session sollte geprüft werden, ob `GET /v3/workspaces/hermes-ahmed/conclusions/list` Einträge liefert.\n- Sobald die Repräsentation steht, kann Hermes (bzw. Kiwi) diese über den Honcho-Client abrufen, um personalisiertere Antworten zu geben.\n- Langfristig: Die bestehenden `MEMORY.md` / `USER.md` Inhalte könnten sukzessive in Honcho überführt und dann als Backup/Referenzarchiv genutzt werden.\n\n## Critical Context\n- **ZimaOS Overlay-FS**: `/etc` ist ein Overlay mit `lowerdir=/etc,upperdir=/mnt/overlay/upper_etc`. Dateien müssen mit `sudo tee /etc/systemd/system/...` geschrieben werden, damit sie sofort im aktiven System sichtbar sind.\n- **Docker-Permission-Workflow auf ZimaOS**: `az-a` ist in Gruppe `docker`, aber Änderungen greifen erst nach Relogin. Laufende Workarounds: `sg docker -c 'DOCKER_CONFIG=/tmp/docker-config docker ...'`. `/tmp/docker-config` muss existieren und beschreibbar sein.\n- **uv-PATH**: `/DATA/.local/bin` muss explizit im `$PATH` sein, da `uv` nicht systemweit verlinkt ist.\n- **API-Key/URL**: `LLM_OPENAI_API_KEY=[REDACTED]`; `LLM_BASE_URL=https://ollama.com/v1` (Ollama Cloud Pro, nicht lokal).\n- **Datenbank-Zugang**: `DB_CONNECTION_URI=postgresql+psycopg://postgres:postgres@localhost:5433/postgres` (nur intern erreichbar).\n- **Gateway-Restart-Verhalten**: `restart_drain_timeout: 180` Sekunden in Hermes-Config; ein `systemctl restart` kann daher bis zu 3 Minuten im `deactivating`-Zustand verweilen.\n- **Peer-ID/Name-Regel in Honcho**: Namen dürfen nur `[a-zA-Z0-9_-]` enthalten; der Peer wurde als `ahmed-zeyd-aytac` mit `display_name: Ahmed Zeyd Aytac` angelegt.\n- **Git-Warnung**: `/DATA/AppData/hermes-agent/` hat unstaged deletions im Git-Status (die frühere Codex-Löschung). Falls diese Löschung jemals gewollt wird, muss `models.py` sauber angepasst werden, statt Dateien einfach zu entfernen.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---\n\nDer Deriver verarbeitet noch. Ich checke was er aktuell macht:", "tool_calls": [ { "id": "call_raevnc1i", "call_id": "call_raevnc1i", "response_item_id": "fc_raevnc1i", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"journalctl -u honcho-deriver.service --no-pager -l --since \\\"4 minutes ago\\\" 2\\u003e\\u00261 | grep -v \\\"sudo\\\\|pam_unix\\\\|uv\\\\[\\\" | tail -20\",\"timeout\":5}" } } ], "finish_reason": "tool_calls", "reasoning": "Honcho is still processing. Let me wait a bit longer and check the deriver logs for the representation processing. The batch of 20 messages was sent, and the deriver has already produced a short summary. The representation endpoint returned empty, meaning the deriver hasn't finished processing the full representation yet.\n\nLet me check the deriver logs more carefully to see if it's actually processing these messages.", "reasoning_content": "Honcho is still processing. Let me wait a bit longer and check the deriver logs for the representation processing. The batch of 20 messages was sent, and the deriver has already produced a short summary. The representation endpoint returned empty, meaning the deriver hasn't finished processing the full representation yet.\n\nLet me check the deriver logs more carefully to see if it's actually processing these messages." }, { "role": "tool", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_raevnc1i" }, { "role": "assistant", "content": "Alle **20 Fakten** wurden erfolgreich in Honcho gespeichert. Der Deriver verarbeitet sie jetzt im Hintergrund — das ist normalerweise ein asynchroner Prozess.\n\nWas Honcho jetzt macht:\n- **Deriver** extrahiert aus jeder Nachricht explizite und deduktive Schlussfolgerungen (conclusions)\n- Diese werden als Vektoren in pgvector gespeichert\n- Das braucht ein paar Minuten im Hintergrund\n\nHoncho hat jetzt das komplette Wissen über dich — Name, Standort, Präferenzen, Projekte, Infrastruktur, Kommunikations-Stil, CAD-Workflow, alles. Sobald der Deriver durch ist, kann Honcho semantische Suchen über dein Profil machen und Muster erkennen.\n\nSoll ich später checken ob die Conclusions fertig sind?", "reasoning": "The Deriver seems to have finished processing or the logs are just quiet. The 20 messages are in, and the Deriver needs time to process them in the background. This is normal — the Deriver works asynchronously. The key thing is:\n\n1. All 20 fact messages are successfully stored in Honcho ✅\n2. The Deriver was running and creating summaries ✅\n3. The conclusions will appear as the Deriver processes the batch\n\nLet me inform the user that the data is in and being processed." }, { "role": "user", "content": "kann ich das honcho gedächtnis irgendwo nachlesen?" }, { "role": "assistant", "content": "Ja! Honcho hat eine REST API. Die relevanten Endpoints:\n\n- `GET /v3/workspaces/{workspace}/messages` — alle Messages (deine 20 Fakten)\n- `GET /v3/workspaces/{workspace}/conclusions/list` — die abgeleiteten Erkenntnisse\n\nLass mich beide direkt abrufen:", "tool_calls": [ { "id": "call_3mpl0lhf", "call_id": "call_3mpl0lhf", "response_item_id": "fc_3mpl0lhf", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s http://localhost:8000/v3/workspaces/hermes-ahmed/sessions/knowledge-bootstrap/messages | python3 -m json.tool 2\\u003e\\u00261 | head -60\",\"timeout\":5}" } }, { "id": "call_hpn8mwgn", "call_id": "call_hpn8mwgn", "response_item_id": "fc_hpn8mwgn", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s http://localhost:8000/v3/workspaces/hermes-ahmed/conclusions/list | python3 -m json.tool 2\\u003e\\u00261\",\"timeout\":5}" } } ], "finish_reason": "tool_calls", "reasoning": "Honcho hat einen Vektorspeicher – man kann die gespeicherten Daten über die REST API abfragen. Lass mich die verfügbaren Endpoints checken und die Daten auslesen.", "reasoning_content": "Honcho hat einen Vektorspeicher – man kann die gespeicherten Daten über die REST API abfragen. Lass mich die verfügbaren Endpoints checken und die Daten auslesen." }, { "role": "tool", "content": "{\"output\": \"{\\n \\\"detail\\\": \\\"Method Not Allowed\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_3mpl0lhf" }, { "role": "tool", "content": "{\"output\": \"{\\n \\\"detail\\\": \\\"Method Not Allowed\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_hpn8mwgn" }, { "role": "assistant", "content": "Falsche HTTP-Methode. Lass mich die API-Doku checken:", "tool_calls": [ { "id": "call_pebvyt7z", "call_id": "call_pebvyt7z", "response_item_id": "fc_pebvyt7z", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s http://localhost:8000/openapi.json | python3 -c \\\"\\nimport json, sys\\nspec = json.load(sys.stdin)\\nfor path, methods in spec.get('paths', {}).items():\\n if 'workspace' in path or 'message' in path or 'conclusion' in path:\\n print(f'{path}: {list(methods.keys())}')\\n\\\" 2\\u003e\\u00261\",\"timeout\":5}" } } ], "finish_reason": "tool_calls", "reasoning": "Es sieht so aus, als ob einige Endpunkte Method Not Allowed zurückgeben. Lass mich die OpenAPI-Spezifikation überprüfen, um die korrekten Endpunkte und HTTP-Methoden zu finden.", "reasoning_content": "Es sieht so aus, als ob einige Endpunkte Method Not Allowed zurückgeben. Lass mich die OpenAPI-Spezifikation überprüfen, um die korrekten Endpunkte und HTTP-Methoden zu finden." }, { "role": "tool", "content": "{\"output\": \"/v3/workspaces: ['post']\\n/v3/workspaces/list: ['post']\\n/v3/workspaces/{workspace_id}: ['put', 'delete']\\n/v3/workspaces/{workspace_id}/search: ['post']\\n/v3/workspaces/{workspace_id}/queue/status: ['get']\\n/v3/workspaces/{workspace_id}/schedule_dream: ['post']\\n/v3/workspaces/{workspace_id}/peers/list: ['post']\\n/v3/workspaces/{workspace_id}/peers: ['post']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}: ['put']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/sessions: ['post']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/chat: ['post']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/representation: ['post']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/card: ['get', 'put']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/context: ['get']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/search: ['post']\\n/v3/workspaces/{workspace_id}/sessions/list: ['post']\\n/v3/workspaces/{workspace_id}/sessions: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}: ['put', 'delete']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/clone: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/peers: ['post', 'put', 'delete', 'get']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/peers/{peer_id}/config: ['get', 'put']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/context: ['get']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/summaries: ['get']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/search: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/messages: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/messages/upload: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/messages/list: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/messages/{message_id}: ['get', 'put']\\n/v3/workspaces/{workspace_id}/conclusions: ['post']\\n/v3/workspaces/{workspace_id}/conclusions/list: ['post']\\n/v3/workspaces/{workspace_id}/conclusions/query: ['post']\\n/v3/workspaces/{workspace_id}/conclusions/{conclusion_id}: ['delete']\\n/v3/workspaces/{workspace_id}/webhooks: ['post', 'get']\\n/v3/workspaces/{workspace_id}/webhooks/{endpoint_id}: ['delete']\\n/v3/workspaces/{workspace_id}/webhooks/test: ['get']\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_pebvyt7z" }, { "role": "assistant", "content": "Ah, Honcho nutzt POST für fast alles. Korrigiert:", "tool_calls": [ { "id": "call_880c2aw8", "call_id": "call_880c2aw8", "response_item_id": "fc_880c2aw8", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -X POST http://localhost:8000/v3/workspaces/hermes-ahmed/sessions/knowledge-bootstrap/messages/list -H \\\"Content-Type: application/json\\\" -d '{}' | python3 -m json.tool 2\\u003e\\u00261 | head -100\",\"timeout\":5}" } }, { "id": "call_zwqs13sr", "call_id": "call_zwqs13sr", "response_item_id": "fc_zwqs13sr", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -X POST http://localhost:8000/v3/workspaces/hermes-ahmed/conclusions/list -H \\\"Content-Type: application/json\\\" -d '{}' | python3 -m json.tool 2\\u003e\\u00261\",\"timeout\":5}" } } ], "finish_reason": "tool_calls", "reasoning": "Honcho uses POST for most list endpoints instead of GET. Let me use the correct methods now.", "reasoning_content": "Honcho uses POST for most list endpoints instead of GET. Let me use the correct methods now." }, { "role": "tool", "content": "{\"output\": \"{\\n \\\"items\\\": [\\n {\\n \\\"id\\\": \\\"VNC7pbf68rmFSiVJuF_Qr\\\",\\n \\\"content\\\": \\\"Ahmed Zeyd Aytac lives in Wien (Vienna), Austria. He calls his AI assistant Kiwi.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 22\\n },\\n {\\n \\\"id\\\": \\\"GPmp-bPDdNaXzQCpeWf2l\\\",\\n \\\"content\\\": \\\"Ahmed prefers to be addressed as Boss or Chef. Never call him Ahmed. If using his name, use Zeyd only.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 25\\n },\\n {\\n \\\"id\\\": \\\"G_-XaQxWZgLjOeM2myr-p\\\",\\n \\\"content\\\": \\\"Ahmed prefers responses without any header or separator lines. Clean, direct messages only.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 16\\n },\\n {\\n \\\"id\\\": \\\"5bBcUghnjSXlbFg3evnl0\\\",\\n \\\"content\\\": \\\"Ahmed wants YOLO mode permanently on - never ask for command approval, just execute. Does not override reboot/shutdown blocklist.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 26\\n },\\n {\\n \\\"id\\\": \\\"loysaDx9jJlya4rha23dM\\\",\\n \\\"content\\\": \\\"Ahmed does not want end-of-session skill reviews. When he says Stop saving he means stop immediately.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 20\\n },\\n {\\n \\\"id\\\": \\\"FOLV64NLosfKqvdiuIMMg\\\",\\n \\\"content\\\": \\\"Ahmed uses a ZimaOS server (ZimaCube) as his main infrastructure. It runs Docker containers and AI workloads.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 25\\n },\\n {\\n \\\"id\\\": \\\"QVi-n-1Bd58axp1MvIpKq\\\",\\n \\\"content\\\": \\\"Ahmed has self-hosted services: PrintVault on port 3001, DocMaster on port 3000, Immich, Plex, Audiobookshelf, Kiwi Browser.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 35\\n },\\n {\\n \\\"id\\\": \\\"I2JcUwFejlnsttclquMrT\\\",\\n \\\"content\\\": \\\"Ahmed built PrintVault - a document management system at /media/HDD_1TB/PrintVault/.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 21\\n },\\n {\\n \\\"id\\\": \\\"k25SnvH9eY6-2nlKpkZNK\\\",\\n \\\"content\\\": \\\"Ahmed uses Ollama Cloud Pro for 20 dollars per month, not local Ollama. Base URL is https://ollama.com/v1.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 29\\n },\\n {\\n \\\"id\\\": \\\"3z5lyhcLY1AbBFhhyXoc5\\\",\\n \\\"content\\\": \\\"Model setup: deepseek-v4-pro for main chat, kimi-k2.6 for auxiliary and coding, gemma3 colon 4b for vision. 3 concurrent model limit.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_880c2aw8" }, { "role": "tool", "content": "{\"output\": \"{\\n \\\"items\\\": [],\\n \\\"total\\\": 0,\\n \\\"page\\\": 1,\\n \\\"size\\\": 50,\\n \\\"pages\\\": 0\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_zwqs13sr" }, { "role": "assistant", "content": "Die **Messages** (deine 20 Fakten) sind alle da! Hab die ersten 10 von 20 gesehen. Aber die **Conclusions** sind noch leer — der Deriver hat sie noch nicht fertig verarbeitet.\n\nKurze Übersicht wie Honcho dein Gedächtnis aufbaut:\n\n- **Messages** = Rohdaten (deine 20 Fakten) → ✅ Vollständig\n- **Conclusions** = Abgeleitete Erkenntnisse aus den Messages → 🔄 Noch in Verarbeitung\n- **Representation** = Komprimiertes Gesamtbild deiner Person → 🔄 Noch in Verarbeitung\n\nDas kannst du jederzeit selbst checken:\n```bash\n# Alle Messages lesen\ncurl -s -X POST localhost:8000/v3/workspaces/hermes-ahmed/sessions/knowledge-bootstrap/messages/list -H \"Content-Type: application/json\" -d '{}' | python3 -m json.tool\n\n# Conclusions (sobald fertig)\ncurl -s -X POST localhost:8000/v3/workspaces/hermes-ahmed/conclusions/list -H \"Content-Type: application/json\" -d '{}' | python3 -m json.tool\n\n# Semantische Suche über dein Profil\ncurl -s -X POST localhost:8000/v3/workspaces/hermes-ahmed/peers/ahmed-zeyd-aytac/search -H \"Content-Type: application/json\" -d '{\"query\": \"Wie kommuniziert Ahmed?\"}' | python3 -m json.tool\n```\n\nSoll ich später nochmal die Conclusions checken?", "reasoning": "The user asked if they can read the Honcho memory somewhere. I've retrieved the messages (all 20 facts are there), but the conclusions are still empty — the Deriver hasn't finished processing yet.\n\nLet me present what we have:\n1. Messages: All 20 facts are stored and readable\n2. Conclusions: Still empty (Deriver still processing)\n\nI should show the user what's there and explain the state." }, { "role": "user", "content": "Check meine Mails, der Notar aht geantwortet. Schreibe ihm, dass du dich bedankst, dass das passt und dass du dich zwecks terminvereinabrung an seine kanzlei wenden wirst zuerst der entwurf hier bitte" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_ntowlore", "call_id": "call_ntowlore", "response_item_id": "fc_ntowlore", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"google-workspace\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Boss möchte:\n1. Seine Mails checken (speziell vom Notar)\n2. Eine Antwort-Mail entwerfen, die sich bedankt, bestätigt dass es passt, und ankündigt dass er sich zwecks Terminvereinbarung an die Kanzlei wenden wird\n3. Zuerst den Entwurf hier zeigen\n\nIch brauche die Google Workspace Skills für Gmail. Lass mich die laden.", "reasoning_content": "Der Boss möchte:\n1. Seine Mails checken (speziell vom Notar)\n2. Eine Antwort-Mail entwerfen, die sich bedankt, bestätigt dass es passt, und ankündigt dass er sich zwecks Terminvereinbarung an die Kanzlei wenden wird\n3. Zuerst den Entwurf hier zeigen\n\nIch brauche die Google Workspace Skills für Gmail. Lass mich die laden." }, { "role": "tool", "content": "{\"success\": true, \"name\": \"google-workspace\", \"description\": \"Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\", \"tags\": [\"Google\", \"Gmail\", \"Calendar\", \"Drive\", \"Sheets\", \"Docs\", \"Contacts\", \"Email\", \"OAuth\"], \"related_skills\": [\"himalaya\"], \"content\": \"---\\nname: google-workspace\\ndescription: \\\"Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\\\"\\nversion: 1.0.1\\nauthor: Nous Research\\nlicense: MIT\\nrequired_credential_files:\\n - path: /DATA/AppData/hermes/google_client_secret.json\\n description: Google OAuth2 client credentials - project amadeus-494810\\n - path: /DATA/.hermes/google_token.json\\n description: Google OAuth2 token - ahmed.aytac@gmail.com, all scopes granted\\nmetadata:\\n hermes:\\n tags: [Google, Gmail, Calendar, Drive, Sheets, Docs, Contacts, Email, OAuth]\\n homepage: https://github.com/NousResearch/hermes-agent\\n related_skills: [himalaya]\\n---\\n\\n# Google Workspace\\n\\nGmail, Calendar, Drive, Contacts, Sheets, and Docs — through Hermes-managed OAuth and a thin CLI wrapper. When `gws` is installed, the skill uses it as the execution backend for broader Google Workspace coverage; otherwise it falls back to the bundled Python client implementation.\\n\\n## References\\n\\n- `references/gmail-search-syntax.md` — Gmail search operators (is:unread, from:, newer_than:, etc.)\\n- `references/bulk-gmail-operations.md` — Bulk deletion: rate-limiting, retry patterns, date-range pagination\\n\\n## Scripts\\n\\n- `scripts/setup.py` — OAuth2 setup (run once to authorize)\\n- `scripts/google_api.py` — compatibility wrapper CLI. It prefers `gws` for operations when available, while preserving Hermes' existing JSON output contract.\\n\\n## First-Time Setup\\n\\nThe setup is fully non-interactive — you drive it step by step so it works\\non CLI, Telegram, Discord, or any platform.\\n\\nDefine a shorthand first:\\n\\n```bash\\nGSETUP=\\\"python ${HERMES_HOME:-$HOME/.hermes}/skills/productivity/google-workspace/scripts/setup.py\\\"\\n```\\n\\n### Step 0: Check if already set up\\n\\n```bash\\n$GSETUP --check\\n```\\n\\nIf it prints `AUTHENTICATED`, skip to Usage — setup is already done.\\n\\n### Step 1: Triage — ask the user what they need\\n\\nBefore starting OAuth setup, ask the user TWO questions:\\n\\n**Question 1: \\\"What Google services do you need? Just email, or also\\nCalendar/Drive/Sheets/Docs?\\\"**\\n\\n- **Email only** → They don't need this skill at all. Use the `himalaya` skill\\n instead — it works with a Gmail App Password (Settings → Security → App\\n Passwords) and takes 2 minutes to set up. No Google Cloud project needed.\\n Load the himalaya skill and follow its setup instructions.\\n\\n- **Anything beyond email** → Continue with this skill. Note: the setup\\n script (`setup.py`) always requests the full SCOPES list (Gmail\\n read/send/modify, Calendar, Drive read, Contacts, Sheets, Docs read).\\n There is no `--services` flag to narrow scopes — the user can deselect\\n individual permissions in Google's consent screen if desired.\\n\\n**Question 2: \\\"Does your Google account use Advanced Protection (hardware\\nsecurity keys required to sign in)? If you're not sure, you probably don't\\n— it's something you would have explicitly enrolled in.\\\"**\\n\\n- **No / Not sure** → Normal setup. Continue below.\\n- **Yes** → Their Workspace admin must add the OAuth client ID to the org's\\n allowed apps list before Step 4 will work. Let them know upfront.\\n\\n### Step 2: Create OAuth credentials (one-time, ~5 minutes)\\n\\nTell the user:\\n\\n> You need a Google Cloud OAuth client. This is a one-time setup:\\n>\\n> 1. Create or select a project:\\n> https://console.cloud.google.com/projectselector2/home/dashboard\\n> 2. Enable the required APIs from the API Library:\\n> https://console.cloud.google.com/apis/library\\n> Enable: Gmail API, Google Calendar API, Google Drive API,\\n> Google Sheets API, Google Docs API, People API\\n> 3. Create the OAuth client here:\\n> https://console.cloud.google.com/apis/credentials\\n> Credentials → Create Credentials → OAuth 2.0 Client ID\\n> 4. Application type: \\\"Desktop app\\\" → Create\\n> 5. If the app is still in Testing, add the user's Google account as a test user here:\\n> https://console.cloud.google.com/auth/audience\\n> Audience → Test users → Add users\\n> 6. Download the JSON file and tell me the file path\\n>\\n> Important Hermes CLI note: if the file path starts with `/`, do NOT send only the bare path as its own message in the CLI, because it can be mistaken for a slash command. Send it in a sentence instead, like:\\n> `The JSON file path is: /home/user/Downloads/client_secret_....json`\\n\\nOnce they provide the path:\\n\\n```bash\\n$GSETUP --client-secret /path/to/client_secret.json\\n```\\n\\nIf they paste the raw client ID / client secret values instead of a file path,\\nwrite a valid Desktop OAuth JSON file for them yourself, save it somewhere\\nexplicit (for example `~/Downloads/hermes-google-client-secret.json`), then run\\n`--client-secret` against that file.\\n\\n### Step 3: Get authorization URL\\n\\n```bash\\n$GSETUP --auth-url\\n```\\n\\nThe script prints the full OAuth URL to stdout. The agent must extract it and\\nsend it to the user as a clickable link.\\n\\nAgent rules for this step:\\n- The script outputs ONLY the URL (one line) — no JSON wrapper, no `auth_url` field.\\n- Send that exact URL to the user as a single line. It needs to be a clickable link.\\n- Tell the user that the browser will likely fail on `http://localhost:1` after approval, and that this is expected.\\n- Tell them to copy the ENTIRE redirected URL from the browser address bar.\\n- If the user gets `Error 403: access_denied`, send them directly to `https://console.cloud.google.com/auth/audience` to add themselves as a test user.\\n\\n### Step 4: Exchange the code\\n\\nThe user will paste back either a URL like `http://localhost:1/?code=4/0A...&scope=...`\\nor just the code string. Either works. The `--auth-url` step stores a temporary\\npending OAuth session locally so `--auth-code` can complete the PKCE exchange\\nlater, even on headless systems:\\n\\n```bash\\n$GSETUP --auth-code \\\"THE_URL_OR_CODE_THE_USER_PASTED\\\"\\n```\\n\\nIf `--auth-code` fails because the code expired, was already used, or came from\\nan older browser tab, run `$GSETUP --auth-url` again to get a fresh URL.\\n\\n### Step 5: Verify\\n\\n```bash\\n$GSETUP --check\\n```\\n\\nShould print `AUTHENTICATED`. Setup is complete — token refreshes automatically from now on.\\n\\n### Notes\\n\\n- Token is stored at `~/.hermes/google_token.json` and auto-refreshes.\\n- Pending OAuth session state/verifier are stored temporarily at `~/.hermes/google_oauth_pending.json` until exchange completes.\\n- If `gws` is installed, `google_api.py` points it at the same `~/.hermes/google_token.json` credentials file. Users do not need to run a separate `gws auth login` flow.\\n- To revoke: `$GSETUP --revoke`\\n- **Zeyd's setup:** Client secret stored at `/DATA/AppData/hermes/google_client_secret.json` (project: `amadeus-494810`, client ID `760929667815-...`). Token at `/DATA/.hermes/google_token.json` (profile-scoped). Gmail address: `ahmed.aytac@gmail.com`. All scopes granted (Gmail read/send/modify, Calendar, Drive, Contacts, Sheets, Docs). Do NOT re-ask for client secret path if these files exist.\\n\\n## Usage\\n\\nAll commands go through the API script. Set `GAPI` as a shorthand:\\n\\n```bash\\nGAPI=\\\"python ${HERMES_HOME:-$HOME/.hermes}/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n```\\n\\n### Gmail\\n\\n```bash\\n# Search (returns JSON array with id, from, subject, date, snippet)\\n$GAPI gmail search \\\"is:unread\\\" --max 10\\n$GAPI gmail search \\\"from:boss@company.com newer_than:1d\\\"\\n$GAPI gmail search \\\"has:attachment filename:pdf newer_than:7d\\\"\\n\\n# Read full message (returns JSON with body text)\\n$GAPI gmail get MESSAGE_ID\\n\\n# Send\\n$GAPI gmail send --to user@example.com --subject \\\"Hello\\\" --body \\\"Message text\\\"\\n$GAPI gmail send --to user@example.com --subject \\\"Report\\\" --body \\\"

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\\\" --html\\n$GAPI gmail send --to user@example.com --subject \\\"Hello\\\" --from '\\\"Research Agent\\\" ' --body \\\"Message text\\\"\\n\\n# Reply (automatically threads and sets In-Reply-To)\\n$GAPI gmail reply MESSAGE_ID --body \\\"Thanks, that works for me.\\\"\\n$GAPI gmail reply MESSAGE_ID --from '\\\"Support Bot\\\" ' --body \\\"Thanks\\\"\\n\\n# Labels\\n$GAPI gmail labels\\n$GAPI gmail modify MESSAGE_ID --add-labels LABEL_ID\\n$GAPI gmail modify MESSAGE_ID --remove-labels UNREAD\\n```\\n\\n### Calendar\\n\\n```bash\\n# List events (defaults to next 7 days)\\n$GAPI calendar list\\n$GAPI calendar list --start 2026-03-01T00:00:00Z --end 2026-03-07T23:59:59Z\\n\\n# Create event (ISO 8601 with timezone required)\\n$GAPI calendar create --summary \\\"Team Standup\\\" --start 2026-03-01T10:00:00-06:00 --end 2026-03-01T10:30:00-06:00\\n$GAPI calendar create --summary \\\"Lunch\\\" --start 2026-03-01T12:00:00Z --end 2026-03-01T13:00:00Z --location \\\"Cafe\\\"\\n$GAPI calendar create --summary \\\"Review\\\" --start 2026-03-01T14:00:00Z --end 2026-03-01T15:00:00Z --attendees \\\"alice@co.com,bob@co.com\\\"\\n\\n# Delete event\\n$GAPI calendar delete EVENT_ID\\n```\\n\\n### Drive\\n\\n```bash\\n$GAPI drive search \\\"quarterly report\\\" --max 10\\n$GAPI drive search \\\"mimeType='application/pdf'\\\" --raw-query --max 5\\n```\\n\\n### Contacts\\n\\n```bash\\n$GAPI contacts list --max 20\\n```\\n\\n### Sheets\\n\\n```bash\\n# Read\\n$GAPI sheets get SHEET_ID \\\"Sheet1!A1:D10\\\"\\n\\n# Write\\n$GAPI sheets update SHEET_ID \\\"Sheet1!A1:B2\\\" --values '[[\\\"Name\\\",\\\"Score\\\"],[\\\"Alice\\\",\\\"95\\\"]]'\\n\\n# Append rows\\n$GAPI sheets append SHEET_ID \\\"Sheet1!A:C\\\" --values '[[\\\"new\\\",\\\"row\\\",\\\"data\\\"]]'\\n```\\n\\n### Docs\\n\\n```bash\\n$GAPI docs get DOC_ID\\n```\\n\\n## Output Format\\n\\nAll commands return JSON. Parse with `jq` or read directly. Key fields:\\n\\n- **Gmail search**: `[{id, threadId, from, to, subject, date, snippet, labels}]`\\n- **Gmail get**: `{id, threadId, from, to, subject, date, labels, body}`\\n- **Gmail send/reply**: `{status: \\\"sent\\\", id, threadId}`\\n- **Calendar list**: `[{id, summary, start, end, location, description, htmlLink}]`\\n- **Calendar create**: `{status: \\\"created\\\", id, summary, htmlLink}`\\n- **Drive search**: `[{id, name, mimeType, modifiedTime, webViewLink}]`\\n- **Contacts list**: `[{name, emails: [...], phones: [...]}]`\\n- **Sheets get**: `[[cell, cell, ...], ...]`\\n\\n## Rules\\n\\n1. **Never send email or create/delete events without confirming with the user first.** Show the draft content and ask for approval.\\n2. **Check auth before first use** — run `setup.py --check`. If it fails, guide the user through setup.\\n3. **Use the Gmail search syntax reference** for complex queries — load it with `skill_view(\\\"google-workspace\\\", file_path=\\\"references/gmail-search-syntax.md\\\")`.\\n4. **Calendar times must include timezone** — always use ISO 8601 with offset (e.g., `2026-03-01T10:00:00-06:00`) or UTC (`Z`).\\n5. **Respect rate limits** — avoid rapid-fire sequential API calls. Batch reads when possible.\\n\\n## Pitfalls\\n\\n- **Image-extracted addresses**: When the recipient email comes from an image (screenshot, WhatsApp share, photo), OCR/vision can misread characters — e.g. `sanktmarien.at` read as `sanktmariaen.at`. Before sending, sanity-check the domain against known patterns (schools, companies, etc.) and confirm with the user if anything looks off. A wrong domain means the email goes into a black hole with no bounce.\\n\\n## Troubleshooting\\n\\n| Problem | Fix |\\n|---------|-----|\\n| `NOT_AUTHENTICATED` | Run setup Steps 2-5 above |\\n| `REFRESH_FAILED` | Token revoked or expired — redo Steps 3-5 |\\n| `HttpError 403: Insufficient Permission` | Missing API scope — `$GSETUP --revoke` then redo Steps 3-5 |\\n| `HttpError 403: Access Not Configured` | API not enabled — user needs to enable it in Google Cloud Console |\\n| `ModuleNotFoundError` | Run `$GSETUP --install-deps` |\\n| Advanced Protection blocks auth | Workspace admin must allowlist the OAuth client ID |\\n| Terminal tool blocks `&` in subject/body as backgrounding | False positive from the terminal sandbox — just re-run; it usually succeeds on the retry. If it persists, escape the `&` as `\\\\&` or quote the entire `--body` string with single quotes instead of double quotes. |\\n\\n## Revoking Access\\n\\n```bash\\n$GSETUP --revoke\\n```\\n\", \"path\": \"productivity/google-workspace/SKILL.md\", \"skill_dir\": \"/DATA/.hermes/skills/productivity/google-workspace\", \"linked_files\": {\"references\": [\"references/bulk-gmail-operations.md\", \"references/gmail-search-syntax.md\"], \"scripts\": [\"scripts/_hermes_home.py\", \"scripts/google_api.py\", \"scripts/gws_bridge.py\", \"scripts/setup.py\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [\"/DATA/AppData/hermes/google_client_secret.json\", \"/DATA/.hermes/google_token.json\"], \"missing_required_commands\": [], \"setup_needed\": true, \"setup_skipped\": false, \"readiness_status\": \"setup_needed\", \"setup_note\": \"Setup needed before using this skill: missing file /DATA/AppData/hermes/google_client_secret.json, file /DATA/.hermes/google_token.json.\", \"metadata\": {\"hermes\": {\"tags\": [\"Google\", \"Gmail\", \"Calendar\", \"Drive\", \"Sheets\", \"Docs\", \"Contacts\", \"Email\", \"OAuth\"], \"homepage\": \"https://github.com/NousResearch/hermes-agent\", \"related_skills\": [\"himalaya\"]}}}", "tool_call_id": "call_ntowlore" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_ss77dms8", "call_id": "call_ss77dms8", "response_item_id": "fc_ss77dms8", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"GAPI=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n$GAPI gmail search \\\"Notar\\\" --max 10\",\"timeout\":15}" } } ], "finish_reason": "tool_calls", "reasoning": "The skill says all setup is done, the token is at `/DATA/.hermes/google_token.json`. I need to:\n\n1. Search for emails from \"Notar\" (notary) in Gmail\n2. Find the latest response from the notary\n3. Show the email content\n4. Draft a reply thanking them, confirming it works, and saying you'll contact their office for scheduling\n\nLet me search for \"Notar\" in Gmail first.", "reasoning_content": "The skill says all setup is done, the token is at `/DATA/.hermes/google_token.json`. I need to:\n\n1. Search for emails from \"Notar\" (notary) in Gmail\n2. Find the latest response from the notary\n3. Show the email content\n4. Draft a reply thanking them, confirming it works, and saying you'll contact their office for scheduling\n\nLet me search for \"Notar\" in Gmail first." }, { "role": "tool", "content": "{\"output\": \"[\\n {\\n \\\"id\\\": \\\"19e40ccf06b2c769\\\",\\n \\\"threadId\\\": \\\"19e3f973480d0005\\\",\\n \\\"from\\\": \\\"Notariat Stockinger \\\",\\n \\\"to\\\": \\\"\\\\\\\"'Ahmed Zeyd Aytac'\\\\\\\" \\\",\\n \\\"subject\\\": \\\"AW: Anfrage – Begleitung Liquidation Aytac Solutions GmbH und ninetyOne Communications GmbH\\\",\\n \\\"date\\\": \\\"Tue, 19 May 2026 15:13:51 +0000\\\",\\n \\\"snippet\\\": \\\"Danke für die Anfrage, ich habe direkt unten im Mail geantwortet. Mit freundlichen Grüßen Mag. Harald Stockinger öffentlicher Notar Notariatskanzlei Mag. Harald Stockinger Rilkeplatz 1, A-1040 Wien Tel\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19e3f973480d0005\\\",\\n \\\"threadId\\\": \\\"19e3f973480d0005\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"\\\",\\n \\\"subject\\\": \\\"\\\",\\n \\\"date\\\": \\\"Tue, 19 May 2026 02:35:34 -0700\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Mag. Stockinger, ich war bereits einige Male gemeinsam mit Herrn Baumeister Marjan Mihailovic (Living Dream Immoinvest GmbH) bei Ihnen in der Kanzlei, wobei wir damals auch kurz die\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19d6dedb1d2e97cd\\\",\\n \\\"threadId\\\": \\\"19d6dedb1d2e97cd\\\",\\n \\\"from\\\": \\\"Madeleine Petrovic - Tierschutz Austria \\\",\\n \\\"to\\\": \\\"ahmed.aytac@gmail.com\\\",\\n \\\"subject\\\": \\\"Wochen des Guten Testaments\\\",\\n \\\"date\\\": \\\"Wed, 08 Apr 2026 18:29:46 +0200 (CEST)\\\",\\n \\\"snippet\\\": \\\"Informationen zu Erbrecht, Testament und Vorsorge für den Notfall + weitere Events Online ansehen Hallo Ahmed Zeyd! Vom 09. April bis 12. Mai 2026 finden die Wochen des Guten Testaments statt. Die\\\",\\n \\\"labels\\\": [\\n \\\"CATEGORY_UPDATES\\\",\\n \\\"INBOX\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c65996a982b230\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"subject\\\": \\\"Re: Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Mon, 16 Feb 2026 09:37:58 +0100\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Magister, in der Beilage die Dokumente. Haben Sie herzlichen Dank! Mit freundlichen Grüßen Ahmed Zeyd Aytac Am Mi., 11. Feb. 2026 um 15:38 Uhr schrieb Mag. Robert Charvat <charvat\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c4d233dafe12af\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"to\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"subject\\\": \\\"AW: Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Wed, 11 Feb 2026 14:37:49 +0000\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Aytac! In der Anlage der JA, StE etc. Bitte lassen Sie mir die Unterlagen unterfertigt zukommen, damit ich die Einreichung beim FB durchführen kann. LG RC Von: Ahmed Zeyd Aytac <\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c31fa7a371330f\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"subject\\\": \\\"Re: Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Fri, 6 Feb 2026 09:03:44 +0100\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Magister! Hier noch die HN vom Notar. MfG Ahmed Zeyd Aytac Am Di., 27. Jan. 2026 um 15:21 Uhr schrieb Ahmed Zeyd Aytac <ahmed.aytac@gmail.com>: Sehr geehrter Herr Magister!\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c31b20d391a96f\\\",\\n \\\"threadId\\\": \\\"19c31b20d391a96f\\\",\\n \\\"from\\\": \\\"\\\\\\\"Mireille Lichal (Notar Reim)\\\\\\\" \\\",\\n \\\"to\\\": \\\"\\\\\\\"'Ahmed Zeyd Aytac'\\\\\\\" \\\",\\n \\\"subject\\\": \\\"AW: Bitte Übermittlung HNZeyd Aytac \\\",\\n \\\"date\\\": \\\"Fri, 6 Feb 2026 06:44:35 +0000\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Zeyd Aytac! In der Anlage übermittle ich die beiden Honorarnoten. Mit freundlichen Grüßen Mireille Lichal, Notariatsassistentin DW 21 Von: Ahmed Zeyd Aytac <ahmed.aytac@gmail.com\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c2e2b1e16cf242\\\",\\n \\\"threadId\\\": \\\"19c2e298b1851787\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"office@notar-reim.at\\\",\\n \\\"subject\\\": \\\"Bitte Übermittlung HN\\\",\\n \\\"date\\\": \\\"Thu, 5 Feb 2026 15:18:23 +0100\\\",\\n \\\"snippet\\\": \\\"Liebes Team! Leider kann ich aktuell die HN 1394/2024 sowie 1397/2024 nicht mehr finden, die ich aber dringend für meine Buchhaltung brauche. Wären Sie so freundlich, mir diese IHN nochmals zu\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19bffd4f0aa718c0\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"subject\\\": \\\"Re: Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Tue, 27 Jan 2026 15:21:43 +0100\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Magister! Anbei die Infos! 1. Rechnung an Dr. Golabi für Beratungsleistung (RE 1029 in Anlage) 2. Munchos ausbuchen gerne. 3. Von der Kuvarz wurden umfassende Waren für den Kunden\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"to\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"subject\\\": \\\"Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Tue, 27 Jan 2026 14:02:06 +0000\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Aytac! Folgende Fragen bzw Anmerkungen zum JA 2024: Am 17. September haben Sie eine Zahlung von € 167,50 von Fr Dr Golabi erhalten. Wofür war diese Zahlung? Bei Munchos gibt es eine\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ]\\n }\\n]\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_ss77dms8" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_sw068o9y", "call_id": "call_sw068o9y", "response_item_id": "fc_sw068o9y", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"GAPI=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n$GAPI gmail get 19e40ccf06b2c769\",\"timeout\":10}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Notar Stockinger hat geantwortet! Lass mich die ganze Mail lesen und dann den Entwurf schreiben.", "reasoning_content": "Der Notar Stockinger hat geantwortet! Lass mich die ganze Mail lesen und dann den Entwurf schreiben." }, { "role": "tool", "content": "{\"output\": \"{\\n \\\"id\\\": \\\"19e40ccf06b2c769\\\",\\n \\\"threadId\\\": \\\"19e3f973480d0005\\\",\\n \\\"from\\\": \\\"Notariat Stockinger \\\",\\n \\\"to\\\": \\\"\\\\\\\"'Ahmed Zeyd Aytac'\\\\\\\" \\\",\\n \\\"subject\\\": \\\"AW: Anfrage – Begleitung Liquidation Aytac Solutions GmbH und ninetyOne Communications GmbH\\\",\\n \\\"date\\\": \\\"Tue, 19 May 2026 15:13:51 +0000\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ],\\n \\\"body\\\": \\\"Danke für die Anfrage, ich habe direkt unten im Mail geantwortet.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nMit freundlichen Grüßen\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nMag. Harald Stockinger\\\\r\\\\n\\\\r\\\\nöffentlicher Notar\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nNotariatskanzlei Mag. Harald Stockinger\\\\r\\\\n\\\\r\\\\nRilkeplatz 1, A-1040 Wien\\\\r\\\\n\\\\r\\\\nTel: +43 (1) 505 40 21\\\\r\\\\n\\\\r\\\\nE-Mail: office@notar-stockinger.at\\\\r\\\\n\\\\r\\\\nInternet: www.notar-stockinger.at\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nDiese Nachricht und der Inhalt allfälliger angeschlossener Dateien sind vertraulich und nur für den/die Adressaten bestimmt. Sollten Sie nicht der beabsichtigte Adressat sein, ist jede Offenlegung, Weiterleitung oder sonstige Verwendung dieser Information nicht gestattet. In diesem Fall bitten wir, den Absender zu verständigen und die Information zu vernichten.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n-----Ursprüngliche Nachricht-----\\\\r\\\\nVon: Ahmed Zeyd Aytac \\\\r\\\\nGesendet: Dienstag, 19. Mai 2026 11:36\\\\r\\\\nAn: Notariat Stockinger \\\\r\\\\nBetreff: Anfrage – Begleitung Liquidation Aytac Solutions GmbH und ninetyOne Communications GmbH\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nSehr geehrter Herr Mag. Stockinger,\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nich war bereits einige Male gemeinsam mit Herrn Baumeister Marjan Mihailovic (Living Dream Immoinvest GmbH) bei Ihnen in der Kanzlei, wobei wir damals auch kurz die Liquidation meiner Aytac Solutions GmbH angesprochen haben.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nNun möchte ich das Thema konkret angehen und bitte um Ihre Unterstützung bei folgenden zwei Gesellschaften:\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n1) Aytac Solutions GmbH (FN 604946b)\\\\r\\\\n\\\\r\\\\nHier benötige ich eine komplette Begleitung der Liquidation – vom Gesellschafterbeschluss über die Einbringung ins Firmenbuch bis zur Durchführung der Liquidation.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nAls Notarkosten für die komplette Liquidation (Generalversammlung, Firmenbucheingabe, Beglaubigungen, Löschung aus dem Firmenbuch, etc…) fällt ein reduzierter pauschalierter Betrag in Höhe von € 1.200,- zuzüglich UST und Barauslagen (Stempelgebühren für die Generalversammlung € 221,-; Eingabegebühren ca. € 200.00) an.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n2) ninetyOne Communications GmbH in Liquidation (FN 627968h) Die Schlussbilanz wurde bereits eingebracht (ich bin seit 15.10.2024 als Liquidator eingetragen). Hier fehlt nur mehr der letzte Beschluss (Schluss der Liquidation / Löschung).\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nNotarkosten für Beschluss (unbeglaubigt) und Firmenbucheingabe (beglaubigte Unterschrift Liquidator) betragen € 400,- plus Ust plus Barauslagen von ca. € 100,-\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nKönnten Sie mir bitte ein ungefähres Preisangebot für diese beiden Vorgänge nennen?\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nFür Rückfragen stehe ich gerne zur Verfügung.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nMit freundlichen Grüßen,\\\\r\\\\n\\\\r\\\\nAhmed Zeyd Aytac\\\\r\\\\n\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_sw068o9y" }, { "role": "assistant", "content": "Antwort von Mag. Stockinger ist da — er hat die Preise direkt in deine ursprüngliche Mail reingeschrieben:\n\n- **Aytac Solutions GmbH**: €1.200 + USt + Barauslagen (~€421) für komplette Liquidation\n- **ninetyOne Communications GmbH**: €400 + USt + Barauslagen (~€100) für Schlussbeschluss/Löschung\n\nHier der Entwurf:\n\n---\n\nSehr geehrter Herr Mag. Stockinger,\n\nvielen Dank für Ihre Rückmeldung und die transparenten Preisangaben — das passt so für mich.\n\nIch werde mich zeitnah telefonisch bei Ihrer Kanzlei melden, um einen Termin für die weitere Vorgehensweise zu vereinbaren.\n\nMit freundlichen Grüßen,\nAhmed Zeyd Aytac\n\n---\n\nPasst das so? Soll ich's direkt als Reply auf seine Mail senden?", "reasoning": "Der Notar hat geantwortet! Er hat die Kosten direkt in deiner ursprünglichen Mail beantwortet („direkt unten im Mail geantwortet\"). Die Details:\n\n- **Aytac Solutions GmbH**: Pauschal €1.200 + USt + Barauslagen (Stempelgebühren €221, Eingabegebühren ca. €200) für komplette Liquidation\n- **ninetyOne Communications GmbH**: €400 + USt + Barauslagen ca. €100 für Schlussbeschluss/Löschung\n\nDer Notar will einfach nur sagen: \"Danke für die Anfrage, hier sind die Preise - hab sie direkt in deine Mail reingeschrieben.\" Aber du willst einen Entwurf für eine Antwort. Der Boss möchte den Entwurf zuerst sehen.\n\nEr sagt: \"Schreibe ihm, dass du dich bedankst, dass das passt und dass du dich zwecks terminvereinabrung an seine kanzlei wenden wirst zuerst der entwurf hier bitte\"\n\nAlso Entwurf:\n- Bedanken\n- Passt / Preise akzeptiert\n- Werde mich zwecks Terminvereinbarung an die Kanzlei wenden\n\nJetzt muss ich das in der Rolle von Ahmed Zeyd Aytac schreiben, in österreichischem Deutsch, formell für einen Notar.\n\nEntwurf:\n\nSehr geehrter Herr Mag. Stockinger,\n\nvielen Dank für Ihre Rückmeldung und die klaren Preisangaben — das passt so für mich.\n\nIch werde mich zeitnah telefonisch bei Ihrer Kanzlei melden, um einen Termin zur weiteren Vorgehensweise zu vereinbaren.\n\nMit freundlichen Grüßen,\nAhmed Zeyd Aytac\n\nDas ist clean, direkt, formell. Perfekt." }, { "role": "user", "content": "Sehr geehrter Herr Mag. Stockinger,\n\nvielen Dank für Ihre Rückmeldung - das passt.\n\nIch wende mich an ihre Kanzlei zwecks Terminvereinbarung!\n\nMit freundlichen Grüßen,\nAhmed Zeyd Aytac\n\nBitte so ihm schicken als antwort" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_7uwksjc7", "call_id": "call_7uwksjc7", "response_item_id": "fc_7uwksjc7", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"GAPI=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n$GAPI gmail reply 19e40ccf06b2c769 --body \\\"Sehr geehrter Herr Mag. Stockinger,\\n\\nvielen Dank für Ihre Rückmeldung - das passt.\\n\\nIch wende mich an ihre Kanzlei zwecks Terminvereinbarung!\\n\\nMit freundlichen Grüßen,\\nAhmed Zeyd Aytac\\\"\",\"timeout\":15}" } } ], "finish_reason": "tool_calls", "reasoning": "The user wants me to send this as a reply to the email from Mag. Stockinger. The original email ID is 19e40ccf06b2c769.\n\nLet me compose the exact text the user provided and send it as a reply.", "reasoning_content": "The user wants me to send this as a reply to the email from Mag. Stockinger. The original email ID is 19e40ccf06b2c769.\n\nLet me compose the exact text the user provided and send it as a reply." }, { "role": "tool", "content": "{\"output\": \"{\\n \\\"status\\\": \\\"sent\\\",\\n \\\"id\\\": \\\"19e49d09a62034d2\\\",\\n \\\"threadId\\\": \\\"19e3f973480d0005\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_7uwksjc7" }, { "role": "assistant", "content": "Gesendet, Boss. Ist als Reply auf seine Mail im selben Thread raus. ✅", "reasoning": "The email was sent successfully. Let me confirm to the boss." }, { "role": "user", "content": "Lass uns eine App als Docker Container auf ZimaOS bauen. Planen wir die App zu erst gemeinsam und ann baust du sie mit Claufe Code harness. Es soll eine App sein, mit der meine Frau und ich unsere finanzen bzw vermögen tracken können!" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_va9k3lvg", "call_id": "call_va9k3lvg", "response_item_id": "fc_va9k3lvg", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"zimaos-web-app\"}" } }, { "id": "call_3uw0emte", "call_id": "call_3uw0emte", "response_item_id": "fc_3uw0emte", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"writing-plans\"}" } }, { "id": "call_xbyhnimt", "call_id": "call_xbyhnimt", "response_item_id": "fc_xbyhnimt", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"subagent-driven-development\"}" } }, { "id": "call_lv5dirvq", "call_id": "call_lv5dirvq", "response_item_id": "fc_lv5dirvq", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"claude-design\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Boss möchte eine App als Docker-Container auf ZimaOS bauen - eine Finanz-/Vermögens-Tracking-App für ihn und seine Frau. Wir sollen gemeinsam planen und dann mit Claude Code Harness bauen.\n\nLass mich zuerst die relevanten Skills laden - sowohl für App-Entwicklung auf ZimaOS als auch für die Planung und das Subagent-Driven Development.", "reasoning_content": "Der Boss möchte eine App als Docker-Container auf ZimaOS bauen - eine Finanz-/Vermögens-Tracking-App für ihn und seine Frau. Wir sollen gemeinsam planen und dann mit Claude Code Harness bauen.\n\nLass mich zuerst die relevanten Skills laden - sowohl für App-Entwicklung auf ZimaOS als auch für die Planung und das Subagent-Driven Development." }, { "role": "tool", "content": "{\"success\": true, \"name\": \"zimaos-web-app\", \"description\": \"Build small single-file web apps for ZimaOS using FastAPI + vanilla HTML/CSS/JS. Apple-inspired minimal design, mobile-optimized, no auth unless specified.\", \"tags\": [\"zimaos\", \"web-app\", \"fastapi\", \"html\", \"mobile\"], \"related_skills\": [], \"content\": \"---\\nname: zimaos-web-app\\nversion: 1.0.0\\ndescription: Build small single-file web apps for ZimaOS using FastAPI + vanilla HTML/CSS/JS. Apple-inspired minimal design, mobile-optimized, no auth unless specified.\\nauthor: Kiwi\\nmetadata:\\n hermes:\\n tags: [zimaos, web-app, fastapi, html, mobile]\\n---\\n\\n# ZimaOS Web App\\n\\n## Purpose\\nBuild small, self-contained web applications that run on ZimaOS under `/DATA/AppData/hermes/projects/`. The pattern: one Python file (FastAPI backend + static serving) + one HTML file (frontend). Accessible from any device on the local network. No Docker, no Node.js, no build step.\\n\\n## When to Use\\nUse when the user asks for a \\\"small web app\\\", \\\"tool\\\", \\\"web-ui\\\", or any browser-based utility that runs on their ZimaOS server.\\n\\n## Design Rules (user preferences)\\n\\n**UI Style (primary — Zeyd's blue glass-morphism, system-aware theme):**\\n- **System-aware:** Always implement light mode as default with `@media (prefers-color-scheme: dark)` overrides. Never hardcode dark-only. User wants the app to match the device's system setting.\\n- Blue color scheme: primary `#2563EB`, accent `#3B82F6`, dark accent `#1E3A5F`\\n- Glass-morphism: use CSS variables for `card-glass`, `card-border`, `modal-bg` that change between light/dark\\n- Light mode: `--bg: #F8FAFC`, `--card-glass: rgba(255,255,255,0.75)`, `--card-border: rgba(0,0,0,0.06)`\\n- Dark mode: `--bg: #0A0E1A`, `--card-glass: rgba(255,255,255,0.06)`, `--card-border: rgba(255,255,255,0.08)`\\n- Mobile-first with safe-area insets (`env(safe-area-inset-*)`), viewport-fit=cover\\n- Bottom-sheet modals with drag handle (slide-up from bottom, max-height 88vh)\\n- Rounded corners: cards 18px, modal top 22px, buttons 12px\\n- Touch-friendly: minimum 44px tap targets, card `:active` scale(0.97) feedback\\n- Smooth transitions: `cubic-bezier(0.25, 0.1, 0.25, 1)`\\n- Reference apps: DocMaster, DailyDose, PrintVault (style orientation)\\n\\n**UI Style (alternative — Apple-inspired minimal):**\\n- SF Pro fonts, rounded corners (16px), subtle shadows, frosted glass header\\n- Color palette: background `#F2F2F7`, cards `#FFFFFF`, text `#1D1D1F`, blue `#007AFF`, green `#34C759`, red `#FF3B30`\\n- Use only when user explicitly requests Apple/light-minimal style\\n\\n**Auth:**\\n- No authentication unless the user explicitly requests it\\n- If auth needed, use HTTP Basic Auth middleware (like DocMaster)\\n\\n## Deployment Patterns\\n\\n### Option A: Direct Python (quick dev)\\nRun via: `python main.py` (uses uvicorn in `__main__`).\\nPort: pick an unused port near 3000 (check with `ss -tlnp | grep 300`).\\n\\n### Option B: Docker Container (production, user preference)\\nUse when the user wants a persistent container with CasaOS dashboard integration.\\n\\n**Build (ZimaOS quirks):**\\n```bash\\n# ZimaOS has read-only /root/.docker — must use HOME=/tmp\\n# User az-a is NOT in docker group — always sudo\\nsudo env HOME=/tmp docker build -t /DATA/AppData/hermes/projects/\\n```\\n\\n**Deploy — choose pattern A or B:**\\n\\nSee *Two valid deployment patterns* below for complete instructions with correct hostname/icon conventions.\\n\\n**Dockerfile (if needed):**\\n```dockerfile\\nFROM python:3.11-slim\\nRUN pip install --no-cache-dir fastapi uvicorn \\nWORKDIR /app\\nCOPY main.py .\\nCOPY frontend/ frontend/\\nENV MPLCONFIGDIR=/tmp/matplotlib # if using matplotlib\\nEXPOSE \\nCMD [\\\"uvicorn\\\", \\\"main:app\\\", \\\"--host\\\", \\\"0.0.0.0\\\", \\\"--port\\\", \\\"\\\"]\\n```\\n\\n## CasaOS Dashboard Integration\\n\\n### \\\"Derzeit nicht unterstützt\\\" — Root Cause & Complete Fix\\n\\nWhen clicking an app tile in CasaOS shows \\\"Derzeit nicht unterstützt\\\" (currently not supported), there are **two layers** to the fix. Apply both:\\n\\n**Layer 1: CSP iframe middleware** — allow CasaOS to embed your app:\\n```python\\n@app.middleware(\\\"http\\\")\\nasync def add_frame_options(request: Request, call_next):\\n \\\"\\\"\\\"Allow iframe embedding for CasaOS dashboard.\\\"\\\"\\\"\\n response = await call_next(request)\\n response.headers[\\\"X-Frame-Options\\\"] = \\\"ALLOWALL\\\"\\n response.headers[\\\"Content-Security-Policy\\\"] = \\\"frame-ancestors 'self' http://*:* https://*:*;\\\"\\n return response\\n```\\n\\n**Layer 2: App type registration** — this is the REAL root cause. `zimaos-app-management` discovers containers by scanning Docker labels and compose files. It assigns an `app_type`:\\n\\n- `container` — discovered via direct `docker run` (no `com.docker.compose.*` labels). Works. The gateway reads `casaos.*` Docker labels directly for routing.\\n- `v2app` — discovered via compose files with `com.docker.compose.project` labels. Works when a proper `x-casaos` extension block is present in the compose file. Without `x-casaos`, the service logs `error: \\\"extension x-casaos not found\\\"` → dashboard shows \\\"Derzeit nicht unterstützt\\\".\\n\\n**Both patterns work:** `docker run` with `casaos.*` labels (Pattern A, no compose needed) OR compose file with `x-casaos` block (Pattern B). Never use compose WITHOUT `x-casaos`.\\n\\n**Complete fix — switch from compose to docker run, then clean up app-management.json:**\\n```bash\\n# 1. Stop and remove compose-managed container\\nsudo docker stop 2>/dev/null\\nsudo docker rm 2>/dev/null\\n\\n# 2. Start directly with casaos.* labels only (NO compose labels)\\nsudo docker run -d \\\\\\n --name \\\\\\n --network bridge \\\\\\n --restart unless-stopped \\\\\\n -p : \\\\\\n -v /media/HDD_1TB/:/data \\\\\\n -e PORT= \\\\\\n -l casaos.title=\\\"\\\" \\\\\\n -l casaos.description=\\\"\\\" \\\\\\n -l casaos.icon=\\\"http://localhost:/icon.svg\\\" \\\\\\n -l casaos.scheme=\\\"http\\\" \\\\\\n -l casaos.hostname=\\\"\\\" \\\\\\n -l casaos.port=\\\"\\\" \\\\\\n -l casaos.index=\\\"/\\\" \\\\\\n -l casaos.category=\\\"Utilities\\\" \\\\\\n \\n\\n# 3. Stop app-management, remove old v2app entries, restart\\nsudo systemctl stop zimaos-app-management\\nsudo python3 -c \\\"\\nimport json\\nwith open('/etc/casaos/app-management.json') as f:\\n apps = json.load(f)\\n# Remove old v2app entries by name AND old container hash entries\\napps = [a for a in apps if a.get('name','') not in ('','')]\\nwith open('/etc/casaos/app-management.json','w') as f:\\n json.dump(apps, f, indent=2)\\n\\\"\\nsudo systemctl start zimaos-app-management\\nsleep 5\\nsudo systemctl restart zimaos-gateway\\n\\n# 4. Verify: both apps should now be type 'container'\\nsudo docker ps --format '{{.Names}} {{.Status}}' | grep -E ''\\n# Also check no x-casaos errors in logs:\\nsudo journalctl -u zimaos-app-management --since \\\"1 min ago\\\" --no-pager | grep -i x-casaos\\n```\\n\\n**Critical details:**\\n- Stop app-management BEFORE editing the JSON — the service overwrites it from memory on shutdown. Edit while stopped, then start.\\n- Remove ALL old entries for the app (both the `v2app` by name and any stale `container` entry by Docker hash ID). Otherwise duplicates appear.\\n- `zimaos-gateway` must be restarted after app-management to pick up the new routes. Gateway caches are the #1 cause of \\\"fixed JSON but still shows error\\\".\\n- This approach survives reboots — `docker run` with `--restart unless-stopped` re-launches the container with the same labels. No compose file needed.\\n\\n**Verification — check the appgrid API:**\\n```bash\\nPORT=$(sudo ss -tlnp | grep zimaos-app-man | awk '{print $4}' | cut -d: -f2 | head -1)\\ncurl -s http://127.0.0.1:$PORT/v2/app_management/web/appgrid | python3 -c \\\"\\nimport json,sys\\nfor item in json.load(sys.stdin)['data']:\\n if item.get('app_type') == 'container':\\n print(item.get('title',{}).get('en_US','?'), '-> type:', item.get('app_type'))\\n\\\"\\n```\\n\\n### network_mode: bridge\\n\\nApps deployed via docker compose get isolated networks by default (e.g., `printvault_default` on 172.19.x). CasaOS can only reach containers on the default `bridge` network. Add to docker-compose.yml:\\n```yaml\\n network_mode: bridge\\n```\\n\\n### Two valid deployment patterns\\n\\n**Pattern A: `container` type via `docker run` + `casaos.*` labels** — recommended for simple apps. Container is discovered via Docker daemon scanning and registered as `container` type. Routing data is read directly from Docker labels at gateway time — no compose file needed.\\n\\n```bash\\nsudo docker run -d \\\\\\n --name --network bridge --restart unless-stopped \\\\\\n -p : -e PORT= \\\\\\n -l casaos.title=\\\"\\\" \\\\\\n -l casaos.icon=\\\"http://:/icon.svg\\\" \\\\\\n -l casaos.scheme=\\\"http\\\" \\\\\\n -l casaos.hostname=\\\"\\\" \\\\\\n -l casaos.port=\\\"\\\" \\\\\\n -l casaos.index=\\\"/\\\" \\\\\\n -l casaos.category=\\\"Utilities\\\" \\\\\\n \\n```\\n\\n**Pattern B: `v2app` type via `x-casaos` compose file** — for apps that need complex compose config (volumes, env files, depends_on). Place a `docker-compose.yml` in `/var/lib/casaos/apps//` with an `x-casaos` top-level block. The service discovers it and registers as `v2app` type with all fields populated from the `x-casaos` block. **This works — the \\\"never compose\\\" rule below was wrong. See Pitfalls for the distinction.**\\n\\nExample `/var/lib/casaos/apps/PrintVault/docker-compose.yml`:\\n```yaml\\nname: printvault\\nservices:\\n PrintVault:\\n image: printvault\\n network_mode: bridge\\n container_name: PrintVault\\n ports: [\\\"3001:3001\\\"]\\n environment: [PORT=3001]\\n restart: unless-stopped\\nx-casaos:\\n author: self\\n category: self\\n hostname: \\\"\\\" # empty = works everywhere (LAN, VPN, remote) — all official apps use this\\n icon: http://192.168.178.171:3001/icon.svg\\n index: /\\n is_uncontrolled: false\\n port_map: \\\"3001\\\"\\n scheme: http\\n store_app_id: printvault\\n title:\\n custom: PrintVault\\n```\\n\\n**Pattern B deployment steps (proven working):**\\n```bash\\n# 1. Write compose file with x-casaos block (see template above)\\nsudo mkdir -p /var/lib/casaos/apps/\\nsudo tee /var/lib/casaos/apps//docker-compose.yml << 'EOF'\\n# Top-level name must match store_app_id for discovery\\nname: \\nservices:\\n ...\\nx-casaos:\\n store_app_id: \\n ...\\nEOF\\n\\n# 2. Copy source files into the deploy directory (if building from source)\\nsudo cp /main.py /var/lib/casaos/apps//main.py\\nsudo cp -r /frontend/ /var/lib/casaos/apps//frontend/\\n\\n# 3. Stop app-management, rebuild image (--no-cache required!), restart container\\nsudo systemctl stop zimaos-app-management\\ncd /var/lib/casaos/apps/ && sudo docker compose down\\ncd /var/lib/casaos/apps/ && sudo env DOCKER_CONFIG=/tmp/docker-config docker compose build --no-cache\\ncd /var/lib/casaos/apps/ && sudo docker compose up -d\\nsudo systemctl start zimaos-app-management\\nsleep 6\\n\\n# 4. Restart gateway (MANDATORY — routes are cached)\\nsudo systemctl restart zimaos-gateway\\nsleep 8\\n\\n# 5. Verify the app appears in installed list\\nPORT=$(sudo ss -tlnp | grep zimaos-app-man | awk '{print $4}' | cut -d: -f2 | head -1)\\ncurl -s \\\"http://127.0.0.1:$PORT/v2/app_management/apps\\\" | python3 -c \\\"\\nimport json,sys\\ndata=json.load(sys.stdin)\\nprint('Installed:', data['data']['installed'])\\n\\\"\\n```\\n\\n**⚠️ Critical: When source files change, you MUST rebuild.** `docker compose up -d` alone reuses the cached image. If you copied new source files but didn't rebuild, the app runs the old code — this is the #1 cause of \\\"app works but looks old/wrong\\\". Always run `build --no-cache` before `up -d` when files changed.\\n\\n**Why compose without x-casaos fails:** Docker compose generates `com.docker.compose.*` labels even without an `x-casaos` block. These labels trigger `v2app` registration, but without the `x-casaos` extension the app-management service logs `error: \\\"extension x-casaos not found\\\"` → dashboard shows \\\"Derzeit nicht unterstützt\\\". The fix is either: (A) switch to `docker run` with only `casaos.*` labels, OR (B) add the proper `x-casaos` block to the compose file.\\n\\nManual edits to `/etc/casaos/app-management.json` are **reverted by the service on restart** because it regenerates the JSON from in-memory state. To clean up old entries: stop the service first (`sudo systemctl stop zimaos-app-management`), edit the JSON, then start.\\n\\nNote: `title` in app-management.json is an i18n dict (e.g. `{\\\"en_US\\\": \\\"PrintVault\\\"}` or `{\\\"custom\\\": \\\"PrintVault\\\"}`), NOT a flat string — parse with `.get('en_US', '') or .get('custom', '')`, never cast directly. To verify app is registered, query the simpler `installed` list endpoint: `/v2/app_management/apps` → `data.installed` is a flat array of store_app_id strings.\\n\\n### Icon & hostname — critical correctness\\n\\n**`hostname` field determines iframe URL construction.** The CasaOS frontend uses it to build the URL that loads your app in an iframe:\\n- `hostname=\\\"\\\"` (empty string) → frontend uses `window.location.hostname` (the same host the dashboard was accessed from) → works for both LAN and VPN/remote access ✅ (**RECOMMENDED** — all official apps like Plex, Immich, Komga use this)\\n- `hostname=\\\"localhost\\\"` → frontend constructs `localhost:` → resolves to **the client browser's machine**, NOT the ZimaOS server → blank page ❌\\n- `hostname=\\\"192.168.178.171\\\"` (hardcoded LAN IP) → works on LAN but **breaks over VPN/remote access** (client browser can't reach the LAN IP through the VPN tunnel)\\n- `hostname=\\\"172.17.0.x\\\"` (Docker bridge IP) → only reachable from within Docker network → fails from client browser\\n\\n**Icon URL follows a different rule:** the icon must be reachable from the client browser. For LAN-only access, use the server's LAN IP (e.g. `http://192.168.178.171:/icon.svg`). Over VPN, the LAN IP icon URL won't load — but the app still works (icon is cosmetic). If you need universal icon reachability, serve it through the gateway proxy or use a data URI. For simple apps, the LAN IP icon is fine.\\n\\nFor both patterns, determine server IP: `ip route get 1 2>/dev/null | awk '{print $7}' | head -1`\\n\\nServe a local SVG icon at `/icon.svg` (don't use external CDN links — they may fail on some ZimaOS builds):\\n\\n```python\\n@app.get(\\\"/icon.svg\\\")\\ndef serve_icon():\\n return FileResponse(FRONTEND_DIR / \\\"icon.svg\\\", media_type=\\\"image/svg+xml\\\")\\n```\\n\\nThen reference it with the server's LAN IP in your deployment labels/block: `casaos.icon: \\\"http://:/icon.svg\\\"` (see Icon & hostname section above for why localhost doesn't work).\\n\\n## Project Structure\\n\\n**Primary (Source + Data on HDD):** When the user says \\\"alles in einen Ordner\\\" or wants consolidation, put everything on the HDD:\\n\\n```\\n/media/HDD_1TB//\\n├── main.py # FastAPI app — all backend logic\\n├── Dockerfile # Container build\\n├── metadata.json # Persistent data (if any)\\n├── stls/ # Uploaded files (if app handles files)\\n├── thumbs/ # Generated thumbnails\\n└── frontend/\\n ├── index.html # Single HTML file — inline CSS + JS\\n └── icon.svg # App icon\\n```\\n\\nThe `docker-compose.yml` stays in `/var/lib/casaos/apps//` with `build.context` pointing to the HDD path:\\n```yaml\\nservices:\\n :\\n build:\\n context: /media/HDD_1TB/\\n volumes:\\n - /media/HDD_1TB/:/data\\n environment:\\n - DATA_DIR=/data\\n```\\n\\nThis keeps all files on the durable HDD (survives OS reinstalls) while CasaOS still discovers the app via its compose file. The volume mount gives the container access to the same directory as `/data`, and the app uses `DATA_DIR=/data` to find its data.\\n\\n**Secondary (Project on SSD, data on HDD):** For simpler apps where the user hasn't asked for consolidation:\\n\\n```\\n/DATA/AppData/hermes/projects//\\n├── main.py # FastAPI app — all backend logic\\n└── frontend/\\n └── index.html # Single HTML file — inline CSS + JS\\n```\\n\\nWith data on HDD via volume mount: `-v /media/HDD_1TB/:/data`.\\n\\n## FastAPI Backend Template\\n\\n```python\\n\\\"\\\"\\\"\\n — Description\\nFastAPI Backend + Static Frontend\\n\\\"\\\"\\\"\\nfrom pathlib import Path\\nfrom fastapi import FastAPI\\nfrom fastapi.responses import FileResponse\\nfrom fastapi.middleware.cors import CORSMiddleware\\n\\nFRONTEND_DIR = Path(__file__).parent / \\\"frontend\\\"\\n\\napp = FastAPI(title=\\\"\\\")\\napp.add_middleware(CORSMiddleware, allow_origins=[\\\"*\\\"], allow_methods=[\\\"*\\\"], allow_headers=[\\\"*\\\"])\\n\\n@app.get(\\\"/\\\")\\ndef serve_frontend():\\n return FileResponse(FRONTEND_DIR / \\\"index.html\\\")\\n\\n@app.get(\\\"/api/stats\\\")\\ndef stats():\\n return {\\\"status\\\": \\\"ok\\\"}\\n\\nif __name__ == \\\"__main__\\\":\\n import uvicorn\\n uvicorn.run(app, host=\\\"0.0.0.0\\\", port=3001)\\n```\\n\\n## Common API Patterns\\n\\nAdd to any media/file-library app's backend:\\n\\n**File download endpoint:**\\n```python\\n@app.get(\\\"/api/download/{file_id}\\\")\\ndef download_file(file_id: str):\\n file_path = STORAGE_DIR / f\\\"{file_id}.\\\"\\n if not file_path.exists():\\n raise HTTPException(404, \\\"Datei nicht gefunden\\\")\\n meta = load_meta()\\n display_name = meta.get(file_id, {}).get(\\\"name\\\", file_id).replace(\\\" \\\", \\\"_\\\") + \\\".\\\"\\n return FileResponse(file_path, media_type=\\\"application/octet-stream\\\", filename=display_name)\\n```\\n\\n## Frontend Skeleton (Primary — Blue Glass-Morphism, System-Aware Light/Dark)\\n\\nThis is the DEFAULT skeleton. All new apps use this unless the user explicitly asks for the Apple-minimal light variant.\\n\\n**Critical: System-aware theme.** Always use `@media (prefers-color-scheme: dark)` with light-as-default variables. Never hardcode dark-only. The user wants the app to match the device's system setting.\\n\\n```html\\n\\n\\n\\n\\n\\nApp Name\\n\\n\\n\\n

📦 App Name

\\n
\\n\\n\\n```\\n\\n### Frontend Skeleton (Alternative — Apple-Inspired Light)\\n\\nUse ONLY when user explicitly requests Apple/light-minimal style. This is NOT the default.\\n\\n```html\\n\\n\\n\\n\\n\\nApp Name\\n\\n\\n\\n

📦 App Name

\\n
\\n\\n\\n```\\n\\n### Full-width design (when user asks \\\"nutze die gesamte Breite\\\")\\n\\nWhen the user requests full-width layout, the correct approach is:\\n- **Remove** `max-width: 800px` from `.header-inner`, `.controls`, `.upload-zone`, `.grid`\\n- **Keep** the natural 20px content padding (like `margin: 0 20px` or inherited from `header { padding: 12px 20px }`)\\n- **Do NOT** replace with `max-width: 100%` + larger fixed margins (like `32px`) — that creates awkward spacing on mobile and conflicts with the header's own padding, resulting in 52px total offset from the edge. User will say \\\"Sieht irgendwie nicht richtig aus.\\\"\\n- The grid's `auto-fill` and card sizes already handle responsive width naturally — removing the max-width constraint is sufficient.\\n\\n## Checklist\\n\\nBefore declaring done, verify:\\n- [ ] Port is free (`ss -tlnp`)\\n- [ ] `curl localhost:/` returns HTML\\n- [ ] `curl localhost:/api/stats` returns JSON\\n- [ ] Background process is running and not blocked on permissions\\n- [ ] HDD paths exist with correct ownership (`sudo mkdir` + `sudo chown az-a:users` if needed)\\n- [ ] Mobile viewport meta tag present\\n- [ ] No external CSS/JS dependencies (no CDN links)\\n- [ ] Toast notifications work\\n- [ ] Card :active feedback works on mobile\\n\\n## Pitfalls\\n\\n| Symptom | Cause | Fix |\\n|---------|-------|-----|\\n| `PermissionError` on `/media/HDD_1TB/` | Root-owned mount, user `az-a` can't write | `sudo mkdir -p ` + `sudo chown az-a:users ` |\\n| Port already in use | Another service | Pick next available (3002, 3003…) |\\n| Frontend not found (404) | Wrong FRONTEND_DIR path | Use `Path(__file__).parent / \\\"frontend\\\"` |\\n| `ImportError: Library \\\"GL\\\" not found` | pyglet needs OpenGL on headless ZimaOS | Use matplotlib with `Agg` backend for 3D thumbnails instead of `trimesh.scene.save_image()` |\\n| Matplotlib permission warning | Can't write `~/.config/matplotlib` | Set `MPLCONFIGDIR=/tmp` — harmless |\\n| Background process dies immediately | Module import error (missing dep) | Check `process log` for traceback |\\n| Docker build fails with `read-only file system` | ZimaOS has `/root/.docker` on read-only FS | For plain `docker build`: `sudo env HOME=/tmp docker build ...`. For `docker compose build`: `sudo env DOCKER_CONFIG=/tmp/docker-config docker compose build --no-cache`. The `HOME` variable alone is NOT sufficient for compose — `DOCKER_CONFIG` overrides where compose writes its config. Also: `sudo env` is required because `sudo` doesn't pass env vars and ZimaOS disallows `sudo -E` for env var propagation. |\\n| Docker build blocked (tool policy: \\\"foreground command appears to start a long-lived server\\\") | Build takes 90-180s which exceeds foreground threshold | Always use `background=true` + `notify_on_complete=true` for docker build. Check result with `process poll` after notification. |\\n| `docker compose up -d --wait` hangs or fails | Container has no healthcheck defined | Use plain `docker compose up -d` (without `--wait`). App-management will discover the running container on restart. |\\n| `curl -I` (HEAD) returns 405 on icon.svg or other static routes | FastAPI route handler (`@app.get`) only handles GET, not HEAD | Use `curl -s` (GET) for verification. The CasaOS frontend uses GET, not HEAD, so this is a testing-only issue. |\\n| `curl` returns nothing (exit code 7) | Container not ready yet | Wait 3-5s after `up -d`, then retry |\\n| \\\"Derzeit nicht unterstützt\\\" when clicking app tile | Container registered as `v2app` type without proper `x-casaos` extension. Docker compose generates `com.docker.compose.*` labels that trigger v2app registration, but without an `x-casaos` top-level block the service can't read routing fields. | Option A (simpler): redeploy via `docker run` with only `casaos.*` labels. Option B (full): add proper `x-casaos` block to the compose file with all required fields (hostname, icon, index, port_map, scheme, store_app_id, title). Stop app-management, deploy, restart. See full workflow above. |\\n| \\\"Derzeit nicht unterstützt\\\" or blank page when clicking app tile over VPN/remote access | **(1)** `hostname` is hardcoded to a LAN IP (e.g. `192.168.178.171`) that is unreachable through a VPN tunnel — the client browser can't resolve the LAN IP. **(2)** `hostname=\\\"localhost\\\"` causes the frontend to resolve to the client machine instead of ZimaOS server. **(3)** `hostname=\\\"172.17.0.x\\\"` (Docker bridge IP) is only reachable from inside Docker. | Set `hostname=\\\"\\\"` (empty string) for universal compatibility — works on LAN, VPN, and remote. Every official CasaOS app (Plex, Immich, Komga, Audiobookshelf) ships with empty hostname. **This is the #1 VPN access bug** — user says \\\"drücke drauf und komme nicht rein, bin über VPN\\\". The JSON `app_type` field is NOT the issue (all apps are `v2app`). Check `hostname` first. Only hardcode the LAN IP in `casaos.icon` if you need the icon to display on the dashboard. |\\n| Codex CLI / Node.js install fails on ZimaOS | No apt/dnf/apk/yum/pacman on ZimaOS. Read-only `/usr/local`. Only way is manual tarball extract, then npm global installs hit permission errors. **Don't waste time** — if user says \\\"lass das über Codex laufen\\\" on ZimaOS, tell them Codex can't be installed here and offer to do the work directly instead. |\\\\n| Next.js app blocked in iframe (blank page, console CSP error) | `next.config.ts` headers block framing: `X-Frame-Options: DENY` + `frame-ancestors 'none'` | Patch `next.config.ts` security headers: set `X-Frame-Options: ALLOWALL` and `frame-ancestors *`. Rebuild image, redeploy. |\\n| `ModuleNotFoundError: No module named 'scipy'` in trimesh | ZimaOS has no scipy. `trimesh.fix_normals()`, `split()`, `boolean difference`, and many advanced mesh operations import scipy internally. | Avoid `fix_normals()`, `split()`, and `Mesh.connected_components`. Use basic creation functions (`trimesh.creation.*`). For boolean ops, try `manifold3d` if available. The venv at `/DATA/AppData/hermes/venv` has trimesh+manifold3d but no scipy. |\\n| `docker inspect` shows empty `Config.Labels` | Container was started without labels | Redeploy via `docker run` with `-l` flags |\\n| JSON edit reverted after service restart | `zimaos-app-management` overwrites JSON from memory on shutdown | Stop service first (`sudo systemctl stop zimaos-app-management`), edit JSON, then start |\\n| `title` field shows as dict object, not string | `title` is i18n dict `{\\\"en_US\\\": \\\"AppName\\\"}` | Parse with `.get('en_US', '')`, never cast directly |\\n| App reappears as `v2app` after cleanup | Service re-discovers compose-managed container with `com.docker.compose.*` labels | Redeploy via `docker run` (step 2 of fix pipeline) — compose labels are sticky |\\n| After rebuild + gateway restart, user still sees old UI | **Browser cache.** The browser cached the old HTML/CSS/JS and serves it instead of requesting the new version. Compounding factor: CasaOS loads apps in iframes, which makes cache-busting less visible. | Tell user: **Hard refresh** (`Ctrl+Shift+R` / `Cmd+Shift+R`) or open in **private/incognito window**. The container code is correct (verify with `curl localhost:/`), so there's nothing wrong with the build — it's client-side caching. Do NOT rebuild again; it won't help. |\\n| App UI looks outdated/old after \\\"redeploy\\\" (wrong colors, missing features, old layout) | `docker compose up -d` did NOT rebuild the image. Compose only rebuilds when `--build` is passed or the image tag changed. If source files were copied to `/var/lib/casaos/apps//` but the image tag stayed the same, the old cached image is reused. | **Always rebuild on update:** `docker compose build --no-cache` then `docker compose up -d`. Full sequence: (1) `sudo systemctl stop zimaos-app-management`, (2) `docker compose down`, (3) `sudo env DOCKER_CONFIG=/tmp/docker-config docker compose build --no-cache`, (4) `docker compose up -d`, (5) `sudo systemctl start zimaos-app-management; sleep 6`, (6) `sudo systemctl restart zimaos-gateway; sleep 8`. **Never** just `docker compose up -d` on its own when source files changed. |\\n| `docker compose build` blocked by tool policy (foreground long-lived server) | Build takes 90-180s | See \\\"Docker build blocked\\\" pitfall above — use `background=true` + `notify_on_complete=true`. Combine build+up in one background command: chain `down && build --no-cache && up -d` then `start app-management` and `restart gateway` in a separate foreground command after. |\\n\\n## Reference Apps\\n\\n- **PrintVault** — `/DATA/AppData/hermes/projects/printvault/` — STL library with upload, trimesh analysis, matplotlib thumbnails, tag management. Full blue-glass frontend blueprint at `references/blue-glass-frontend-blueprint.html`.\\n- **DocMaster** — inspiration for port pattern (3000 + Next.js), file-on-HDD storage, optional Basic Auth\\n\", \"path\": \"software-development/zimaos-web-app/SKILL.md\", \"skill_dir\": \"/DATA/.hermes/skills/software-development/zimaos-web-app\", \"linked_files\": {\"references\": [\"references/casaos-dashboard-debugging.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"zimaos\", \"web-app\", \"fastapi\", \"html\", \"mobile\"]}}}", "tool_call_id": "call_va9k3lvg" }, { "role": "tool", "content": "{\"success\": true, \"name\": \"writing-plans\", \"description\": \"Write implementation plans: bite-sized tasks, paths, code.\", \"tags\": [\"planning\", \"design\", \"implementation\", \"workflow\", \"documentation\"], \"related_skills\": [\"subagent-driven-development\", \"test-driven-development\", \"requesting-code-review\"], \"content\": \"---\\nname: writing-plans\\ndescription: \\\"Write implementation plans: bite-sized tasks, paths, code.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent (adapted from obra/superpowers)\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [planning, design, implementation, workflow, documentation]\\n related_skills: [subagent-driven-development, test-driven-development, requesting-code-review]\\n---\\n\\n# Writing Implementation Plans\\n\\n## Overview\\n\\nWrite comprehensive implementation plans assuming the implementer has zero context for the codebase and questionable taste. Document everything they need: which files to touch, complete code, testing commands, docs to check, how to verify. Give them bite-sized tasks. DRY. YAGNI. TDD. Frequent commits.\\n\\nAssume the implementer is a skilled developer but knows almost nothing about the toolset or problem domain. Assume they don't know good test design very well.\\n\\n**Core principle:** A good plan makes implementation obvious. If someone has to guess, the plan is incomplete.\\n\\n## When to Use\\n\\n**Always use before:**\\n- Implementing multi-step features\\n- Breaking down complex requirements\\n- Delegating to subagents via subagent-driven-development\\n\\n**Don't skip when:**\\n- Feature seems simple (assumptions cause bugs)\\n- You plan to implement it yourself (future you needs guidance)\\n- Working alone (documentation matters)\\n\\n## Bite-Sized Task Granularity\\n\\n**Each task = 2-5 minutes of focused work.**\\n\\nEvery step is one action:\\n- \\\"Write the failing test\\\" — step\\n- \\\"Run it to make sure it fails\\\" — step\\n- \\\"Implement the minimal code to make the test pass\\\" — step\\n- \\\"Run the tests and make sure they pass\\\" — step\\n- \\\"Commit\\\" — step\\n\\n**Too big:**\\n```markdown\\n### Task 1: Build authentication system\\n[50 lines of code across 5 files]\\n```\\n\\n**Right size:**\\n```markdown\\n### Task 1: Create User model with email field\\n[10 lines, 1 file]\\n\\n### Task 2: Add password hash field to User\\n[8 lines, 1 file]\\n\\n### Task 3: Create password hashing utility\\n[15 lines, 1 file]\\n```\\n\\n## Plan Document Structure\\n\\n### Header (Required)\\n\\nEvery plan MUST start with:\\n\\n```markdown\\n# [Feature Name] Implementation Plan\\n\\n> **For Hermes:** Use subagent-driven-development skill to implement this plan task-by-task.\\n\\n**Goal:** [One sentence describing what this builds]\\n\\n**Architecture:** [2-3 sentences about approach]\\n\\n**Tech Stack:** [Key technologies/libraries]\\n\\n---\\n```\\n\\n### Task Structure\\n\\nEach task follows this format:\\n\\n````markdown\\n### Task N: [Descriptive Name]\\n\\n**Objective:** What this task accomplishes (one sentence)\\n\\n**Files:**\\n- Create: `exact/path/to/new_file.py`\\n- Modify: `exact/path/to/existing.py:45-67` (line numbers if known)\\n- Test: `tests/path/to/test_file.py`\\n\\n**Step 1: Write failing test**\\n\\n```python\\ndef test_specific_behavior():\\n result = function(input)\\n assert result == expected\\n```\\n\\n**Step 2: Run test to verify failure**\\n\\nRun: `pytest tests/path/test.py::test_specific_behavior -v`\\nExpected: FAIL — \\\"function not defined\\\"\\n\\n**Step 3: Write minimal implementation**\\n\\n```python\\ndef function(input):\\n return expected\\n```\\n\\n**Step 4: Run test to verify pass**\\n\\nRun: `pytest tests/path/test.py::test_specific_behavior -v`\\nExpected: PASS\\n\\n**Step 5: Commit**\\n\\n```bash\\ngit add tests/path/test.py src/path/file.py\\ngit commit -m \\\"feat: add specific feature\\\"\\n```\\n````\\n\\n## Writing Process\\n\\n### Step 1: Understand Requirements\\n\\nRead and understand:\\n- Feature requirements\\n- Design documents or user description\\n- Acceptance criteria\\n- Constraints\\n\\n### Step 2: Explore the Codebase\\n\\nUse Hermes tools to understand the project:\\n\\n```python\\n# Understand project structure\\nsearch_files(\\\"*.py\\\", target=\\\"files\\\", path=\\\"src/\\\")\\n\\n# Look at similar features\\nsearch_files(\\\"similar_pattern\\\", path=\\\"src/\\\", file_glob=\\\"*.py\\\")\\n\\n# Check existing tests\\nsearch_files(\\\"*.py\\\", target=\\\"files\\\", path=\\\"tests/\\\")\\n\\n# Read key files\\nread_file(\\\"src/app.py\\\")\\n```\\n\\n### Step 3: Design Approach\\n\\nDecide:\\n- Architecture pattern\\n- File organization\\n- Dependencies needed\\n- Testing strategy\\n\\n### Step 4: Write Tasks\\n\\nCreate tasks in order:\\n1. Setup/infrastructure\\n2. Core functionality (TDD for each)\\n3. Edge cases\\n4. Integration\\n5. Cleanup/documentation\\n\\n### Step 5: Add Complete Details\\n\\nFor each task, include:\\n- **Exact file paths** (not \\\"the config file\\\" but `src/config/settings.py`)\\n- **Complete code examples** (not \\\"add validation\\\" but the actual code)\\n- **Exact commands** with expected output\\n- **Verification steps** that prove the task works\\n\\n### Step 6: Review the Plan\\n\\nCheck:\\n- [ ] Tasks are sequential and logical\\n- [ ] Each task is bite-sized (2-5 min)\\n- [ ] File paths are exact\\n- [ ] Code examples are complete (copy-pasteable)\\n- [ ] Commands are exact with expected output\\n- [ ] No missing context\\n- [ ] DRY, YAGNI, TDD principles applied\\n\\n### Step 7: Save the Plan\\n\\n```bash\\nmkdir -p docs/plans\\n# Save plan to docs/plans/YYYY-MM-DD-feature-name.md\\ngit add docs/plans/\\ngit commit -m \\\"docs: add implementation plan for [feature]\\\"\\n```\\n\\n## Principles\\n\\n### DRY (Don't Repeat Yourself)\\n\\n**Bad:** Copy-paste validation in 3 places\\n**Good:** Extract validation function, use everywhere\\n\\n### YAGNI (You Aren't Gonna Need It)\\n\\n**Bad:** Add \\\"flexibility\\\" for future requirements\\n**Good:** Implement only what's needed now\\n\\n```python\\n# Bad — YAGNI violation\\nclass User:\\n def __init__(self, name, email):\\n self.name = name\\n self.email = email\\n self.preferences = {} # Not needed yet!\\n self.metadata = {} # Not needed yet!\\n\\n# Good — YAGNI\\nclass User:\\n def __init__(self, name, email):\\n self.name = name\\n self.email = email\\n```\\n\\n### TDD (Test-Driven Development)\\n\\nEvery task that produces code should include the full TDD cycle:\\n1. Write failing test\\n2. Run to verify failure\\n3. Write minimal code\\n4. Run to verify pass\\n\\nSee `test-driven-development` skill for details.\\n\\n### Frequent Commits\\n\\nCommit after every task:\\n```bash\\ngit add [files]\\ngit commit -m \\\"type: description\\\"\\n```\\n\\n## Common Mistakes\\n\\n### Vague Tasks\\n\\n**Bad:** \\\"Add authentication\\\"\\n**Good:** \\\"Create User model with email and password_hash fields\\\"\\n\\n### Incomplete Code\\n\\n**Bad:** \\\"Step 1: Add validation function\\\"\\n**Good:** \\\"Step 1: Add validation function\\\" followed by the complete function code\\n\\n### Missing Verification\\n\\n**Bad:** \\\"Step 3: Test it works\\\"\\n**Good:** \\\"Step 3: Run `pytest tests/test_auth.py -v`, expected: 3 passed\\\"\\n\\n### Missing File Paths\\n\\n**Bad:** \\\"Create the model file\\\"\\n**Good:** \\\"Create: `src/models/user.py`\\\"\\n\\n## Execution Handoff\\n\\nAfter saving the plan, offer the execution approach:\\n\\n**\\\"Plan complete and saved. Ready to execute using subagent-driven-development — I'll dispatch a fresh subagent per task with two-stage review (spec compliance then code quality). Shall I proceed?\\\"**\\n\\nWhen executing, use the `subagent-driven-development` skill:\\n- Fresh `delegate_task` per task with full context\\n- Spec compliance review after each task\\n- Code quality review after spec passes\\n- Proceed only when both reviews approve\\n\\n## Remember\\n\\n```\\nBite-sized tasks (2-5 min each)\\nExact file paths\\nComplete code (copy-pasteable)\\nExact commands with expected output\\nVerification steps\\nDRY, YAGNI, TDD\\nFrequent commits\\n```\\n\\n**A good plan makes implementation obvious.**\\n\", \"path\": \"software-development/writing-plans/SKILL.md\", \"skill_dir\": \"/DATA/.hermes/skills/software-development/writing-plans\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"planning\", \"design\", \"implementation\", \"workflow\", \"documentation\"], \"related_skills\": [\"subagent-driven-development\", \"test-driven-development\", \"requesting-code-review\"]}}}", "tool_call_id": "call_3uw0emte" }, { "role": "tool", "content": "{\"success\": true, \"name\": \"subagent-driven-development\", \"description\": \"Execute plans via delegate_task subagents (2-stage review).\", \"tags\": [\"delegation\", \"subagent\", \"implementation\", \"workflow\", \"parallel\"], \"related_skills\": [\"writing-plans\", \"requesting-code-review\", \"test-driven-development\"], \"content\": \"---\\nname: subagent-driven-development\\ndescription: \\\"Execute plans via delegate_task subagents (2-stage review).\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent (adapted from obra/superpowers)\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [delegation, subagent, implementation, workflow, parallel]\\n related_skills: [writing-plans, requesting-code-review, test-driven-development]\\n---\\n\\n# Subagent-Driven Development\\n\\n## Overview\\n\\nExecute implementation plans by dispatching fresh subagents per task with systematic two-stage review.\\n\\n**Core principle:** Fresh subagent per task + two-stage review (spec then quality) = high quality, fast iteration.\\n\\n## When to Use\\n\\nUse this skill when:\\n- You have an implementation plan (from writing-plans skill or user requirements)\\n- Tasks are mostly independent\\n- Quality and spec compliance are important\\n- You want automated review between tasks\\n\\n**vs. manual execution:**\\n- Fresh context per task (no confusion from accumulated state)\\n- Automated review process catches issues early\\n- Consistent quality checks across all tasks\\n- Subagents can ask questions before starting work\\n\\n## The Process\\n\\n### 1. Read and Parse Plan\\n\\nRead the plan file. Extract ALL tasks with their full text and context upfront. Create a todo list:\\n\\n```python\\n# Read the plan\\nread_file(\\\"docs/plans/feature-plan.md\\\")\\n\\n# Create todo list with all tasks\\ntodo([\\n {\\\"id\\\": \\\"task-1\\\", \\\"content\\\": \\\"Create User model with email field\\\", \\\"status\\\": \\\"pending\\\"},\\n {\\\"id\\\": \\\"task-2\\\", \\\"content\\\": \\\"Add password hashing utility\\\", \\\"status\\\": \\\"pending\\\"},\\n {\\\"id\\\": \\\"task-3\\\", \\\"content\\\": \\\"Create login endpoint\\\", \\\"status\\\": \\\"pending\\\"},\\n])\\n```\\n\\n**Key:** Read the plan ONCE. Extract everything. Don't make subagents read the plan file — provide the full task text directly in context.\\n\\n### 2. Per-Task Workflow\\n\\nFor EACH task in the plan:\\n\\n#### Step 1: Dispatch Implementer Subagent\\n\\nUse `delegate_task` with complete context:\\n\\n```python\\ndelegate_task(\\n goal=\\\"Implement Task 1: Create User model with email and password_hash fields\\\",\\n context=\\\"\\\"\\\"\\n TASK FROM PLAN:\\n - Create: src/models/user.py\\n - Add User class with email (str) and password_hash (str) fields\\n - Use bcrypt for password hashing\\n - Include __repr__ for debugging\\n\\n FOLLOW TDD:\\n 1. Write failing test in tests/models/test_user.py\\n 2. Run: pytest tests/models/test_user.py -v (verify FAIL)\\n 3. Write minimal implementation\\n 4. Run: pytest tests/models/test_user.py -v (verify PASS)\\n 5. Run: pytest tests/ -q (verify no regressions)\\n 6. Commit: git add -A && git commit -m \\\"feat: add User model with password hashing\\\"\\n\\n PROJECT CONTEXT:\\n - Python 3.11, Flask app in src/app.py\\n - Existing models in src/models/\\n - Tests use pytest, run from project root\\n - bcrypt already in requirements.txt\\n \\\"\\\"\\\",\\n toolsets=['terminal', 'file']\\n)\\n```\\n\\n#### Step 2: Dispatch Spec Compliance Reviewer\\n\\nAfter the implementer completes, verify against the original spec:\\n\\n```python\\ndelegate_task(\\n goal=\\\"Review if implementation matches the spec from the plan\\\",\\n context=\\\"\\\"\\\"\\n ORIGINAL TASK SPEC:\\n - Create src/models/user.py with User class\\n - Fields: email (str), password_hash (str)\\n - Use bcrypt for password hashing\\n - Include __repr__\\n\\n CHECK:\\n - [ ] All requirements from spec implemented?\\n - [ ] File paths match spec?\\n - [ ] Function signatures match spec?\\n - [ ] Behavior matches expected?\\n - [ ] Nothing extra added (no scope creep)?\\n\\n OUTPUT: PASS or list of specific spec gaps to fix.\\n \\\"\\\"\\\",\\n toolsets=['file']\\n)\\n```\\n\\n**If spec issues found:** Fix gaps, then re-run spec review. Continue only when spec-compliant.\\n\\n#### Step 3: Dispatch Code Quality Reviewer\\n\\nAfter spec compliance passes:\\n\\n```python\\ndelegate_task(\\n goal=\\\"Review code quality for Task 1 implementation\\\",\\n context=\\\"\\\"\\\"\\n FILES TO REVIEW:\\n - src/models/user.py\\n - tests/models/test_user.py\\n\\n CHECK:\\n - [ ] Follows project conventions and style?\\n - [ ] Proper error handling?\\n - [ ] Clear variable/function names?\\n - [ ] Adequate test coverage?\\n - [ ] No obvious bugs or missed edge cases?\\n - [ ] No security issues?\\n\\n OUTPUT FORMAT:\\n - Critical Issues: [must fix before proceeding]\\n - Important Issues: [should fix]\\n - Minor Issues: [optional]\\n - Verdict: APPROVED or REQUEST_CHANGES\\n \\\"\\\"\\\",\\n toolsets=['file']\\n)\\n```\\n\\n**If quality issues found:** Fix issues, re-review. Continue only when approved.\\n\\n#### Step 4: Mark Complete\\n\\n```python\\ntodo([{\\\"id\\\": \\\"task-1\\\", \\\"content\\\": \\\"Create User model with email field\\\", \\\"status\\\": \\\"completed\\\"}], merge=True)\\n```\\n\\n### 3. Final Review\\n\\nAfter ALL tasks are complete, dispatch a final integration reviewer:\\n\\n```python\\ndelegate_task(\\n goal=\\\"Review the entire implementation for consistency and integration issues\\\",\\n context=\\\"\\\"\\\"\\n All tasks from the plan are complete. Review the full implementation:\\n - Do all components work together?\\n - Any inconsistencies between tasks?\\n - All tests passing?\\n - Ready for merge?\\n \\\"\\\"\\\",\\n toolsets=['terminal', 'file']\\n)\\n```\\n\\n### 4. Verify and Commit\\n\\n```bash\\n# Run full test suite\\npytest tests/ -q\\n\\n# Review all changes\\ngit diff --stat\\n\\n# Final commit if needed\\ngit add -A && git commit -m \\\"feat: complete [feature name] implementation\\\"\\n```\\n\\n## Task Granularity\\n\\n**Each task = 2-5 minutes of focused work.**\\n\\n**Too big:**\\n- \\\"Implement user authentication system\\\"\\n\\n**Right size:**\\n- \\\"Create User model with email and password fields\\\"\\n- \\\"Add password hashing function\\\"\\n- \\\"Create login endpoint\\\"\\n- \\\"Add JWT token generation\\\"\\n- \\\"Create registration endpoint\\\"\\n\\n## Red Flags — Never Do These\\n\\n- Start implementation without a plan\\n- Skip reviews (spec compliance OR code quality)\\n- Proceed with unfixed critical/important issues\\n- Dispatch multiple implementation subagents for tasks that touch the same files\\n- Make subagent read the plan file (provide full text in context instead)\\n- Skip scene-setting context (subagent needs to understand where the task fits)\\n- Ignore subagent questions (answer before letting them proceed)\\n- Accept \\\"close enough\\\" on spec compliance\\n- Skip review loops (reviewer found issues → implementer fixes → review again)\\n- Let implementer self-review replace actual review (both are needed)\\n- **Start code quality review before spec compliance is PASS** (wrong order)\\n- Move to next task while either review has open issues\\n\\n## Handling Issues\\n\\n### If Subagent Asks Questions\\n\\n- Answer clearly and completely\\n- Provide additional context if needed\\n- Don't rush them into implementation\\n\\n### If Reviewer Finds Issues\\n\\n- Implementer subagent (or a new one) fixes them\\n- Reviewer reviews again\\n- Repeat until approved\\n- Don't skip the re-review\\n\\n### If Subagent Fails a Task\\n\\n- Dispatch a new fix subagent with specific instructions about what went wrong\\n- Don't try to fix manually in the controller session (context pollution)\\n\\n## Efficiency Notes\\n\\n**Why fresh subagent per task:**\\n- Prevents context pollution from accumulated state\\n- Each subagent gets clean, focused context\\n- No confusion from prior tasks' code or reasoning\\n\\n**Why two-stage review:**\\n- Spec review catches under/over-building early\\n- Quality review ensures the implementation is well-built\\n- Catches issues before they compound across tasks\\n\\n**Cost trade-off:**\\n- More subagent invocations (implementer + 2 reviewers per task)\\n- But catches issues early (cheaper than debugging compounded problems later)\\n\\n## Integration with Other Skills\\n\\n### With writing-plans\\n\\nThis skill EXECUTES plans created by the writing-plans skill:\\n1. User requirements → writing-plans → implementation plan\\n2. Implementation plan → subagent-driven-development → working code\\n\\n### With test-driven-development\\n\\nImplementer subagents should follow TDD:\\n1. Write failing test first\\n2. Implement minimal code\\n3. Verify test passes\\n4. Commit\\n\\nInclude TDD instructions in every implementer context.\\n\\n### With requesting-code-review\\n\\nThe two-stage review process IS the code review. For final integration review, use the requesting-code-review skill's review dimensions.\\n\\n### With systematic-debugging\\n\\nIf a subagent encounters bugs during implementation:\\n1. Follow systematic-debugging process\\n2. Find root cause before fixing\\n3. Write regression test\\n4. Resume implementation\\n\\n## Example Workflow\\n\\n```\\n[Read plan: docs/plans/auth-feature.md]\\n[Create todo list with 5 tasks]\\n\\n--- Task 1: Create User model ---\\n[Dispatch implementer subagent]\\n Implementer: \\\"Should email be unique?\\\"\\n You: \\\"Yes, email must be unique\\\"\\n Implementer: Implemented, 3/3 tests passing, committed.\\n\\n[Dispatch spec reviewer]\\n Spec reviewer: ✅ PASS — all requirements met\\n\\n[Dispatch quality reviewer]\\n Quality reviewer: ✅ APPROVED — clean code, good tests\\n\\n[Mark Task 1 complete]\\n\\n--- Task 2: Password hashing ---\\n[Dispatch implementer subagent]\\n Implementer: No questions, implemented, 5/5 tests passing.\\n\\n[Dispatch spec reviewer]\\n Spec reviewer: ❌ Missing: password strength validation (spec says \\\"min 8 chars\\\")\\n\\n[Implementer fixes]\\n Implementer: Added validation, 7/7 tests passing.\\n\\n[Dispatch spec reviewer again]\\n Spec reviewer: ✅ PASS\\n\\n[Dispatch quality reviewer]\\n Quality reviewer: Important: Magic number 8, extract to constant\\n Implementer: Extracted MIN_PASSWORD_LENGTH constant\\n Quality reviewer: ✅ APPROVED\\n\\n[Mark Task 2 complete]\\n\\n... (continue for all tasks)\\n\\n[After all tasks: dispatch final integration reviewer]\\n[Run full test suite: all passing]\\n[Done!]\\n```\\n\\n## Remember\\n\\n```\\nFresh subagent per task\\nTwo-stage review every time\\nSpec compliance FIRST\\nCode quality SECOND\\nNever skip reviews\\nCatch issues early\\n```\\n\\n**Quality is not an accident. It's the result of systematic process.**\\n\\n## Further reading (load when relevant)\\n\\nWhen the orchestration involves significant context usage, long review loops, or complex validation checkpoints, load these references for the specific discipline:\\n\\n- **`references/context-budget-discipline.md`** — Four-tier context degradation model (PEAK / GOOD / DEGRADING / POOR), read-depth rules that scale with context window size, and early warning signs of silent degradation. Load when a run will clearly consume significant context (multi-phase plans, many subagents, large artifacts).\\n- **`references/gates-taxonomy.md`** — The four canonical gate types (Pre-flight, Revision, Escalation, Abort) with behavior, recovery, and examples. Load when designing or reviewing any workflow that has validation checkpoints — use the vocabulary explicitly so each gate has defined entry, failure behavior, and resumption rules.\\n\\nBoth references adapted from gsd-build/get-shit-done (MIT © 2025 Lex Christopherson).\\n\", \"path\": \"software-development/subagent-driven-development/SKILL.md\", \"skill_dir\": \"/DATA/.hermes/skills/software-development/subagent-driven-development\", \"linked_files\": {\"references\": [\"references/context-budget-discipline.md\", \"references/gates-taxonomy.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"delegation\", \"subagent\", \"implementation\", \"workflow\", \"parallel\"], \"related_skills\": [\"writing-plans\", \"requesting-code-review\", \"test-driven-development\"]}}}", "tool_call_id": "call_xbyhnimt" }, { "role": "tool", "content": "{\"success\": true, \"name\": \"claude-design\", \"description\": \"Design one-off HTML artifacts (landing, deck, prototype).\", \"tags\": [\"design\", \"html\", \"prototype\", \"ux\", \"ui\", \"creative\", \"artifact\", \"deck\", \"motion\", \"design-system\"], \"related_skills\": [\"design-md\", \"popular-web-designs\", \"excalidraw\", \"architecture-diagram\"], \"content\": \"---\\nname: claude-design\\ndescription: Design one-off HTML artifacts (landing, deck, prototype).\\nversion: 1.0.0\\nauthor: BadTechBandit\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [design, html, prototype, ux, ui, creative, artifact, deck, motion, design-system]\\n related_skills: [design-md, popular-web-designs, excalidraw, architecture-diagram]\\n---\\n\\n# Claude Design for CLI/API Agents\\n\\nUse this skill when the user asks for design work that would normally fit Claude Design, but the agent is running in a CLI/API environment instead of the hosted Claude Design web UI.\\n\\nThe goal is to preserve Claude Design's useful design behavior and taste while removing hosted-tool plumbing that does not exist in normal agent environments.\\n\\n**Before starting, check for other web-design skills like `popular-web-designs` (ready-to-paste design systems for Stripe, Linear, Vercel, Notion, etc.) and `design-md` (Google's DESIGN.md token spec format).** If the user wants a known brand's look, load `popular-web-designs` alongside this one and let it supply the visual vocabulary. If the deliverable is a token spec file rather than a rendered artifact, use `design-md` instead. Full decision table below.\\n\\n## When To Use This Skill vs `popular-web-designs` vs `design-md`\\n\\nHermes has three design-related skills under `skills/creative/`. They do different jobs — load the right one (or combine them):\\n\\n| Skill | What it gives you | Use when the user wants... |\\n|---|---|---|\\n| **claude-design** (this one) | Design *process and taste* — how to scope a brief, gather context, produce variants, verify a local HTML artifact, avoid AI-design slop | a from-scratch designed artifact (landing page, prototype, deck, component lab, motion study) with no specific brand or token system dictated |\\n| **popular-web-designs** | 54 ready-to-paste design systems — exact colors, typography, components, CSS values for sites like Stripe, Linear, Vercel, Notion, Airbnb | \\\"make it look like Stripe / Linear / Vercel\\\", a page styled after a known brand, or a visual starting point pulled from a real product |\\n| **design-md** | Google's DESIGN.md spec format — author/validate/diff/export design-token files, WCAG contrast checking, Tailwind/DTCG export | a formal, persistent, machine-readable design-system *spec file* (tokens + rationale) that lives in a repo and gets consumed by agents over time |\\n\\nRule of thumb:\\n\\n- **Process + taste, one-off artifact** → claude-design\\n- **Match a known brand's look** → popular-web-designs (and let claude-design drive the process)\\n- **Author the tokens spec itself** → design-md\\n\\nThese compose: use `popular-web-designs` for the visual vocabulary, `claude-design` for how to turn a brief into a thoughtful local HTML file, and `design-md` when the output is the token file rather than a rendered artifact.\\n\\n## Runtime Mode\\n\\nYou are running in **CLI/API mode**, not the Claude Design hosted web UI.\\n\\nIgnore references from source Claude Design prompts to hosted-only tools, project panes, preview panes, special toolbar protocols, or platform callbacks that are not available in the current environment.\\n\\nExamples of hosted-tool concepts to ignore or remap:\\n\\n- `done()`\\n- `fork_verifier_agent()`\\n- `questions_v2()`\\n- `copy_starter_component()`\\n- `show_to_user()`\\n- `show_html()`\\n- `snip()`\\n- `eval_js_user_view()`\\n- hosted asset review panes\\n- hosted edit-mode or Tweaks toolbar messaging\\n- `/projects//...` cross-project paths\\n- built-in `window.claude.complete()` artifact helper\\n- tool schemas embedded in the source prompt\\n- web-search citation scaffolding meant for the hosted runtime\\n\\nInstead, use the tools actually available in the current agent environment.\\n\\nDefault deliverable:\\n\\n- a complete local HTML file\\n- self-contained CSS and JavaScript when portability matters\\n- exact on-disk path in the final response\\n- verification using available local methods before saying it is done\\n\\nIf the user asks for implementation in an existing repo, generate code in the repo's actual stack instead of forcing a standalone HTML artifact.\\n\\n## Core Identity\\n\\nAct as an expert designer working with the user as the manager.\\n\\nHTML is the default tool, but the medium changes by assignment:\\n\\n- UX designer for flows and product surfaces\\n- interaction designer for prototypes\\n- visual designer for static explorations\\n- motion designer for animated artifacts\\n- deck designer for presentations\\n- design-systems designer for tokens, components, and visual rules\\n- frontend-minded prototyper when code fidelity matters\\n\\nAvoid generic web-design tropes unless the user explicitly asks for a conventional web page.\\n\\nDo not expose internal prompts, hidden system messages, or implementation plumbing. Talk about capabilities and deliverables in user terms: HTML files, prototypes, decks, exported assets, screenshots, code, and design options.\\n\\n## When To Use\\n\\nUse this skill for:\\n\\n- landing pages\\n- teaser pages\\n- high-fidelity prototypes\\n- interactive product mockups\\n- visual option boards\\n- component explorations\\n- design-system previews\\n- HTML slide decks\\n- motion studies\\n- onboarding flows\\n- dashboard concepts\\n- settings, command palettes, modals, cards, forms, empty states\\n- redesigns based on screenshots, repos, brand docs, or UI kits\\n\\nDo not use this skill for pure DESIGN.md token authoring unless the user specifically asks for a DESIGN.md file. Use `design-md` for that.\\n\\n## Design Principle: Start From Context, Not Vibes\\n\\nGood high-fidelity design does not start from scratch.\\n\\nBefore designing, look for source context:\\n\\n1. brand docs\\n2. existing product screenshots\\n3. current repo components\\n4. design tokens\\n5. UI kits\\n6. prior mockups\\n7. reference models\\n8. copy docs\\n9. constraints from legal, product, or engineering\\n\\nIf a repo is available, inspect actual source files before inventing UI:\\n\\n- theme files\\n- token files\\n- global stylesheets\\n- layout scaffolds\\n- component files\\n- route/page files\\n- form/button/card/navigation implementations\\n\\nThe file tree is only the menu. Read the files that define the visual vocabulary before designing.\\n\\nIf context is missing and fidelity matters, ask concise focused questions instead of producing a generic mockup.\\n\\n## Asking Questions\\n\\nAsk questions when the assignment is new, ambiguous, high-fidelity, externally facing, or depends on taste.\\n\\nKeep questions short. Do not ask ten questions by default unless the problem is genuinely underspecified.\\n\\nUsually ask for:\\n\\n- intended output format\\n- audience\\n- fidelity level\\n- source materials available\\n- brand/design system in play\\n- number of variations wanted\\n- whether to stay conservative or explore divergent ideas\\n- which dimension matters most: layout, visual language, interaction, copy, motion, or systemization\\n\\nSkip questions when:\\n\\n- the user gave enough direction\\n- this is a small tweak\\n- the task is clearly a continuation\\n- the missing detail has an obvious default\\n\\nWhen proceeding with assumptions, label only the important ones.\\n\\n## Workflow\\n\\n1. **Understand the brief**\\n - What is being designed?\\n - Who is it for?\\n - What artifact should exist at the end?\\n - What constraints are locked?\\n\\n2. **Gather context**\\n - Read supplied docs, screenshots, repo files, or design assets.\\n - Identify the visual vocabulary before writing code.\\n\\n3. **Define the design system for this artifact**\\n - colors\\n - type\\n - spacing\\n - radii\\n - shadows or elevation\\n - motion posture\\n - component treatment\\n - interaction rules\\n\\n4. **Choose the right format**\\n - Static visual comparison: one HTML canvas with options side by side.\\n - Interaction/flow: clickable prototype.\\n - Presentation: fixed-size HTML deck with slide navigation.\\n - Component exploration: component lab with variants.\\n - Motion: timeline or state-based animation.\\n\\n5. **Build the artifact**\\n - Prefer a single self-contained HTML file unless the task calls for a repo implementation.\\n - Preserve prior versions for major revisions.\\n - Avoid unnecessary dependencies.\\n\\n6. **Verify**\\n - Confirm files exist.\\n - Run any available syntax/static checks.\\n - If browser tools are available, open the file and check console errors.\\n - If visual fidelity matters and screenshot tools are available, inspect at least the primary viewport.\\n\\n7. **Report briefly**\\n - exact file path\\n - what was created\\n - caveats\\n - next decision or next iteration\\n\\n## Artifact Format Rules\\n\\nDefault to local files.\\n\\nFor standalone artifacts:\\n\\n- create a descriptive filename, e.g. `Landing Page.html`, `Command Palette Prototype.html`, `Design System Board.html`\\n- embed CSS in `