{ "session_id": "20260618_090425_80f8c5", "model": "deepseek-v4-pro", "base_url": "https://ollama.com/v1", "platform": "telegram", "session_start": "2026-06-18T09:04:25.288823", "last_updated": "2026-06-18T09:04:30.275688", "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\n## MANDATORY ROUTING RULE — Coding always runs on Kimi K2.7 Code\n\nFor ANY task that involves producing or changing code — writing, editing, refactoring, debugging, fixing, reviewing, or implementing features, scripts, or programs in any programming language — you MUST delegate the work to a sub-agent using the `delegate_task` tool. Sub-agents are configured to run on the specialized coding model (Kimi K2.7 Code), so delegating is exactly what routes the work onto that model.\n\nRules:\n- Do NOT author or modify code yourself in the main thread. For coding work never reach for `write_file`, `patch`, or `execute_code` directly — hand it to a sub-agent via `delegate_task` instead.\n- Your job for coding is orchestration: understand the request, write a clear self-contained spec (goal, relevant file paths, constraints, and how to verify), pass it to `delegate_task`, then review and relay the sub-agent's result.\n- Purely reading, searching, inspecting, or explaining existing code does NOT require delegation — only the actual creation or modification of code does.\n- This directive is mandatory and overrides any default tendency to write code inline. Ahmed requires that ALL coding runs through Kimi K2.7 Code.\n\n## VERIFY BEFORE ASSERTING — never report your config or state from memory\n\nWhen asked anything about your CURRENT state — which model you run, what is in your config, which auxiliary/coding models are set, scheduled jobs, what is enabled, or any other live system fact — you MUST check the real source of truth BEFORE answering. Do NOT answer from memory, from earlier in the conversation, or from handover/reference documents.\n\n- Source of truth for models/config is the live file `$HERMES_HOME/config.yaml` (HERMES_HOME = `/DATA/.hermes`). Read it with your terminal tool, e.g. `grep -nE 'default:|model:' /DATA/.hermes/config.yaml`, or run `hermes status`. Whatever `model.default` and the `auxiliary.*`/`delegation.model` keys say in that file right now is authoritative.\n- Handover docs (e.g. `handover-from-claude-*.md`), reference notes, and your own past statements are point-in-time snapshots — they go stale. Treat them as history, never as current truth. If a document and the live config disagree, the LIVE CONFIG WINS, and you should point out that the doc is outdated.\n- Only state a config/state value after you have just read it. If you genuinely cannot verify it, say so plainly instead of guessing — never present an unverified guess as fact.\n\nThis applies especially to questions like \"which model are you?\", \"what's in your config?\", \"is X set up?\", or \"are the aux models still on the old value?\". Check first, then answer.\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) [96% — 2,132/2,200 chars]\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§\nDocker: DOCKER_CONFIG=/tmp/docker-config (root/.docker read-only). compose up/down nur aus App-Verzeichnis. zimaos-app-management (nicht casaos-app-management). Nie docker run -d. Compose: name:, container_name:, x-casaos: Block. Icon als data: URL. Volumes ohne Leerzeichen. Hermes Stack: /DATA/AppData/hermes-stack/{docker-compose.yml,data/{postgres,redis}/,backups/}. Ports 127.0.0.1:5433/6380.\n§\nOllama Cloud Pro ($20/mo). Base: https://ollama.com/v1. 3-model limit. Setup (handover 2026-06-16): deepseek-v4-pro (main), kimi-k2.7-code (delegation/coding), gemini-3-flash-preview (ALL aux+vision). Config.yaml may be stale — handover doc is authoritative.\n§\nKiwi avatar: wizard kiwi bird by Zeyd. /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\n§\nGateway recovery: (1) rm /DATA/.hermes/gateway.pid gateway.lock (2) systemctl reset-failed hermes-gateway (3) systemctl start hermes-gateway. Active config = /DATA/.hermes/config.yaml (HERMES_HOME=/DATA/.hermes). provider MUSS custom sein (nicht openai!) für Ollama.com. Nach Modellwechsel: sessions.json leeren + restart damit Kiwi neuen Kontext hat. Vollständige Anleitung: /DATA/.hermes/handover-from-claude-20260613.md\n§\nPraktische Fragen erst logisch beantworten, dann Witz. \"Auto oder zu Fuß zur Waschanlage?\" → Auto fahren (Auto MUSS hin). Witz danach.\n§\nGoogle OAuth token expires every ~7 days (Testing-mode project). Proactively check auth with `python /DATA/.hermes/skills/productivity/google-workspace/scripts/setup.py --check` at session start when Google calendar/gmail will be needed. Don't wait for the API call to fail.\n§\nZimaOS Apps 14.6.2026: audiobookshelf callkeep camofox dailydose docmaster hermes-stack homeassistant immich komga muslimos plex tailscale zeitgeist. Callkeep-DB: /DATA/.media/HDD_1TB/CallKeep/callkeep.db. MuslimOS: /DATA/AppData/muslimos, DB /DATA/AppData/muslimos/data/db.json.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [95% — 1,307/1,375 chars]\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§\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§\nWhen user makes a local website/dashboard and wants mobile/outside access, offer a public tunnel (cloudflared preferred).\n§\nUser dislikes invented summaries. If a link cannot be read, say so; never guess from metadata. Also: 'loop' can mean coding-agent loop engineering, not just social-media content loops.\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 - casaos-app-troubleshoot: CasaOS-App-Probleme diagnostizieren und beheben — Legacy,...\n - kanban-orchestrator: Decomposition playbook + specialist-roster conventions + ...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - local-server-public-access: Expose a local HTTP service (website, dashboard, dev serv...\n - safe-volume-migration: Anonyme Docker-Volumes (Hash-Namen) sicher zu Bind-Mounts...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n - zimaos-app-install: Neue App/Container auf ZimaOS sauber per Docker Compose i...\n - zimaos-camofox-browser: Camofox-Browser als persistenten Docker-Dienst auf ZimaOS...\n - zimaos-platform: Build, deploy, administer, inspect, and debug application...\n - zimaos-quirks: ZimaOS-Eigenheiten — read-only Root-FS, DOCKER_CONFIG, HO...\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-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 vaul...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\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 - mnemo-access: Direkter Zugriff auf Mnemo (Cartographer's Zettelkasten) ...\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 - zimaos-productivity: Productivity apps on ZimaOS — DailyDose activity tracking...\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 - research-literature: Academic and biomedical research skills — professor profi...\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - home-assistant: Inspect, manage, and troubleshoot Home Assistant (Docker ...\n - midea-ac-ha: Midea Porta Split Klimaanlage in Home Assistant 2026 einb...\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 - reddit: Read Reddit posts, comments, and subreddits via JSON API ...\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 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, June 18, 2026 09:04 AM\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": 30, "messages": [ { "role": "user", "content": "Nichts davon. Guten Morgen erstmal" }, { "role": "assistant", "content": "Guten Morgen, Boss! ☀️\n\nAlles frisch heute — worauf hast du Lust?", "reasoning": "Der Boss sagt \"Nichts davon. Guten Morgen erstmal\" — er lehnt die System-Notiz über den Session-Reset ab und will einfach nur einen guten Morgen. Er will Smalltalk, keine Task-Erinnerungen.\n\nEr hat mich \"Kiwi\" genannt in der Memory, also antworte ich locker und freundlich. Kein Skill nötig, kein Tool-Call. Einfach guten Morgen zurück." }, { "role": "user", "content": "[Replying to: \"Cronjob Response: Google OAuth Token Refresh\n(job_id: 2851c3e9c4a5)\n-------------\n\n⚠️ Cron job 'Google OAuth Token Refresh' failed:\nScript exited with code 1\nstdout:\n⚠️ Google OAuth Token-Refresh FEHLGESCHLAGEN: REFRESH_FAILED: ('invalid_grant: Token has been expired or revoked.', {'error': 'invalid_grant', 'error_description': 'Token has been expired or revoked.'})\n\nTo stop or manage this job, send me a new message (e.g. \"stop reminder Google OAuth Token Refresh\").\"]\n\nNein das stimmt aber nicht" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_9ufzotc5", "call_id": "call_9ufzotc5", "response_item_id": "fc_9ufzotc5", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"google-workspace\"}" } }, { "id": "call_su45ei00", "call_id": "call_su45ei00", "response_item_id": "fc_su45ei00", "type": "function", "function": { "name": "cronjob", "arguments": "{\"action\":\"list\"}" } } ], "finish_reason": "tool_calls", "reasoning": "The user is saying that the Google OAuth token refresh cron job failed, but they're saying \"Nein das stimmt aber nicht\" — meaning \"No, that's not true.\" They're saying the token isn't actually expired/revoked, despite what the error says.\n\nLet me investigate. I should:\n1. Check the Google OAuth setup script to see what's happening\n2. Actually test the token to see if it works\n3. Look at the cron job configuration\n\nLet me first load the google-workspace skill since this involves Google OAuth, and also check the setup script.", "reasoning_content": "The user is saying that the Google OAuth token refresh cron job failed, but they're saying \"Nein das stimmt aber nicht\" — meaning \"No, that's not true.\" They're saying the token isn't actually expired/revoked, despite what the error says.\n\nLet me investigate. I should:\n1. Check the Google OAuth setup script to see what's happening\n2. Actually test the token to see if it works\n3. Look at the cron job configuration\n\nLet me first load the google-workspace skill since this involves Google OAuth, and also check the setup script." }, { "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$GAPI docs get DOC_ID\\n```\\n\\n## Output Format\\n\\nAll commands return JSON. Parse with `jq` or read directly. Key fields:\\n\\n- **Gmail search**: `[{id, threadId, from, to, subject, date, snippet, labels}]`\\n- **Gmail get**: `{id, threadId, from, to, subject, date, labels, body}`\\n- **Gmail send/reply**: `{status: \\\"sent\\\", id, threadId}`\\n- **Calendar list**: `[{id, summary, start, end, location, description, htmlLink}]`\\n- **Calendar create**: `{status: \\\"created\\\", id, summary, htmlLink}`\\n- **Drive search**: `[{id, name, mimeType, modifiedTime, webViewLink}]`\\n- **Contacts list**: `[{name, emails: [...], phones: [...]}]`\\n- **Sheets get**: `[[cell, cell, ...], ...]`\\n\\n## Rules\\n\\n1. **Never send email or create/delete events without confirming with the user first.** Show the draft content and ask for approval.\\n2. **Check auth before first use** — run `setup.py --check`. If it fails, guide the user through setup.\\n3. **Use the Gmail search syntax reference** for complex queries — load it with `skill_view(\\\"google-workspace\\\", file_path=\\\"references/gmail-search-syntax.md\\\")`.\\n4. **Calendar times must include timezone** — always use ISO 8601 with offset (e.g., `2026-03-01T10:00:00-06:00`) or UTC (`Z`).\\n5. **Respect rate limits** — avoid rapid-fire sequential API calls. Batch reads when possible.\\n\\n## Pitfalls\\n\\n- **`$GAPI gmail get` returns empty body for complex multipart emails**: The `_extract_message_body` helper in `google_api.py` only handles simple MIME structures. For multipart/mixed emails with HTML content, inline images, and PDF attachments (e.g. Gotogate booking confirmations), the body field is often empty. When this happens, drop to raw Python: fetch with `format=\\\"raw\\\"`, decode the base64, use `email.message_from_bytes` to walk the parts, and extract `text/plain` or `text/html` payloads explicitly. For PDF attachments: find the `application/pdf` part, save the decoded data, then use `fitz` (PyMuPDF) to extract text. See `references/gmail-raw-extraction.md` for the full pattern.\\n- **Testing-mode token expiry (7 days)**: If the Google Cloud project is in \\\"Testing\\\" status (not published to Production), OAuth refresh tokens live only **7 days**. After that, every API call fails with `REFRESH_FAILED: invalid_grant: Token has been expired or revoked`. **Preferred fix: set up a daily cronjob** that runs `setup.py --check` to keep the token alive automatically — see `references/oauth-cronjob-refresh.md` for the complete setup. Manual fix: go through the re-auth flow (`--revoke` then `--auth-url`). Permanent fix: publish the app to Production in Google Cloud Console → OAuth consent screen. When re-authenticating manually, always `--revoke` first to clean up the dead token file — the old invalid token on disk can confuse the setup script even after a fresh auth.\\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## Re-Authentication When Token Expires or Goes Missing\\n\\nThe 7-day testing-mode expiry is documented under Pitfalls. Here's the exact recovery flow depending on what state you're in:\\n\\n**Token file missing (deleted/never existed):** `--revoke` prints `No token to revoke.` — that's fine. Run `--client-secret /path/to/file.json` first (even if already on disk; this re-saves it and seeds the PKCE session state needed for `--auth-url`), then `--auth-url`, then `--auth-code`.\\n\\n**Token exists but refresh fails (REFRESH_FAILED):** `--revoke` first to clean the dead token, then same flow: `--client-secret` → `--auth-url` → `--auth-code`.\\n\\n## Calendar Multi-Calendar Support\\n\\n`google_api.py` now supports querying ALL user calendars, not just `primary`.\\n\\n**List all available calendars:**\\n```bash\\n$GAPI calendar calendars\\n# Returns: [{\\\"id\\\": \\\"...\\\", \\\"summary\\\": \\\"Arbeit\\\"}, {\\\"id\\\": \\\"...\\\", \\\"summary\\\": \\\"Uni\\\"}, ...]\\n```\\n\\n**Fetch events from all calendars at once:**\\n```bash\\n$GAPI calendar list --all-calendars\\n# Returns events with extra fields: \\\"calendarId\\\" and \\\"calendarSummary\\\" per event\\n```\\n\\nUse `--all-calendars` in cronjob prompts and agent workflows that need a complete daily view. The default `--calendar primary` still works for targeted queries.\\n\\nInternal implementation: `_get_all_calendars()` fetches via `calendarList.list` API, then `_list_calendar_events()` iterates each calendar. Events are merged and sorted by start time.\\n\\n## Flight Booking Workflow\\n\\nWhen the user books flights and wants them in the calendar, create one event per flight segment with timezone-offset ISO 8601 times matching the departure and arrival airports' local zones. Use descriptive summaries with emoji, include the flight code and route. Always put the booking reference number in the description. For multi-city round-trips (e.g. VIE→IST→ALP→IST→VIE), fire all four `calendar create` commands in parallel since they are independent.\\n\\nExtract flight details from booking emails: if `$GAPI gmail get` returns empty body (common with HTML multipart Gotogate emails), drop to raw Python with `format=\\\"raw\\\"`, decode base64, walk MIME parts, and extract the PDF attachment with `fitz` (PyMuPDF). See references/gmail-raw-extraction.md for the full pattern.\\n\\n## Troubleshooting\\n\\n| Problem | Fix |\\n|---------|-----|\\n| `NOT_AUTHENTICATED` | Run setup Steps 2-5 above |\\n| `REFRESH_FAILED` | Token revoked or expired — see Re-Authentication section above |\\n| Token file missing, `--revoke` says \\\"No token to revoke\\\" | Normal — just run `--client-secret`, then `--auth-url`, then `--auth-code` |\\n| `HttpError 403: Insufficient Permission` | Missing API scope — `$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-raw-extraction.md\", \"references/oauth-cronjob-refresh.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_9ufzotc5" }, { "role": "tool", "content": "{\n \"success\": true,\n \"count\": 1,\n \"jobs\": [\n {\n \"job_id\": \"2851c3e9c4a5\",\n \"name\": \"Google OAuth Token Refresh\",\n \"skill\": null,\n \"skills\": [],\n \"prompt_preview\": \"\",\n \"model\": null,\n \"provider\": null,\n \"base_url\": null,\n \"schedule\": \"0 9 * * *\",\n \"repeat\": \"forever\",\n \"deliver\": \"origin\",\n \"next_run_at\": \"2026-06-19T09:00:00+02:00\",\n \"last_run_at\": \"2026-06-18T09:00:31.189885+02:00\",\n \"last_status\": \"error\",\n \"last_delivery_error\": null,\n \"enabled\": true,\n \"state\": \"scheduled\",\n \"paused_at\": null,\n \"paused_reason\": null,\n \"script\": \"refresh-google-token.sh\",\n \"no_agent\": true\n }\n ]\n}", "tool_call_id": "call_su45ei00" }, { "role": "assistant", "content": "Verstehe — du sagst, der Token ist gar nicht abgelaufen. Lass mich das direkt prüfen.", "tool_calls": [ { "id": "call_6icrgtmd", "call_id": "call_6icrgtmd", "response_item_id": "fc_6icrgtmd", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/setup.py --check\",\"timeout\":30}" } }, { "id": "call_ty9cq9yw", "call_id": "call_ty9cq9yw", "response_item_id": "fc_ty9cq9yw", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/DATA/.hermes/scripts/refresh-google-token.sh\"}" } } ], "finish_reason": "tool_calls", "reasoning": "The user says \"Nein das stimmt aber nicht\" (No, that's not true) about the cron job failure message. The cron job \"Google OAuth Token Refresh\" runs a script `refresh-google-token.sh` that failed with `REFRESH_FAILED: invalid_grant: Token has been expired or revoked.`\n\nThe user is saying the token is NOT expired/revoked. Let me check the actual token status by running the setup.py --check command, and also look at the cron job script to understand what it does.\n\nLet me also check if the token file exists and is valid.", "reasoning_content": "The user says \"Nein das stimmt aber nicht\" (No, that's not true) about the cron job failure message. The cron job \"Google OAuth Token Refresh\" runs a script `refresh-google-token.sh` that failed with `REFRESH_FAILED: invalid_grant: Token has been expired or revoked.`\n\nThe user is saying the token is NOT expired/revoked. Let me check the actual token status by running the setup.py --check command, and also look at the cron job script to understand what it does.\n\nLet me also check if the token file exists and is valid." }, { "role": "tool", "content": "{\"output\": \"REFRESH_FAILED: ('invalid_grant: Token has been expired or revoked.', {'error': 'invalid_grant', 'error_description': 'Token has been expired or revoked.'})\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_6icrgtmd" }, { "role": "tool", "content": "{\"content\": \" 1|#!/bin/bash\\n 2|# Daily Google OAuth token refresh — silent on success, alerts on failure\\n 3|RESULT=$(python /DATA/.hermes/skills/productivity/google-workspace/scripts/setup.py --check 2>&1)\\n 4|EXIT=$?\\n 5|if [ $EXIT -ne 0 ]; then\\n 6| echo \\\"⚠️ Google OAuth Token-Refresh FEHLGESCHLAGEN: $RESULT\\\"\\n 7| exit 1\\n 8|fi\\n 9|# Success → silent (no output, exit 0)\\n 10|\", \"total_lines\": 9, \"file_size\": 343, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_ty9cq9yw" }, { "role": "assistant", "content": "Der Check bestätigt leider: Der Token ist tatsächlich abgelaufen/widerrufen. `setup.py --check` gibt genau den gleichen `REFRESH_FAILED` Fehler.\n\n```text\nREFRESH_FAILED: invalid_grant: Token has been expired or revoked.\n```\n\nWas meintest du mit „stimmt aber nicht\"? Hast du den Token kürzlich manuell erneuert und erwartest, dass er noch gültig ist? Oder soll der Cronjob einfach weg?", "reasoning": "The check confirms the token IS expired/revoked. The cronjob is correct — the token refresh is failing because the token has indeed expired. \n\nBut the user says \"Nein das stimmt aber nicht\" — they're saying it's NOT true that the token is expired. \n\nWait, let me re-read. The user is replying to the cronjob failure message that says \"Token has been expired or revoked.\" The user says \"Nein das stimmt aber nicht\" — meaning \"No, that's not true.\"\n\nBut the check I just ran also says REFRESH_FAILED. So the token IS failing to refresh. \n\nHmm, maybe the user means something else. Maybe they mean the cronjob itself shouldn't exist, or the script is wrong, or they already re-authenticated and the cronjob is reporting stale info?\n\nLet me think about this differently. The user might be saying \"the token is NOT expired\" — but the check shows it IS. There's a contradiction. \n\nMaybe the user recently re-authenticated and the token file was updated, but the cronjob ran before that? No, the cronjob ran at 09:00 today and I'm checking now at 08:27... wait, the timestamps say last_run_at 2026-06-18T09:00:31 and the current conversation started at 08:27. That's odd — maybe timezone confusion.\n\nActually, looking more carefully: the conversation started Thursday June 18 2026 08:27 AM, and the cronjob last ran at 09:00:31+02:00. So the cronjob ran about 30 minutes ago and failed. My check also fails. The token IS expired.\n\nBut the user insists it's not. Maybe the user re-authenticated manually and the token file was updated, but the `setup.py --check` is still failing for some other reason? Or maybe the user is saying the cronjob message is wrong about something else?\n\nLet me just tell the user what I found: the check confirms the token refresh is failing. The token appears to genuinely be expired. I should ask what they mean — did they recently re-authenticate? Or is there something else going on?\n\nActually wait — maybe the user is saying \"the cronjob shouldn't be reporting this\" or \"I already fixed this.\" Let me just be direct: the check confirms the token IS failing to refresh. What does the user want to do about it?" }, { "role": "user", "content": "Schau mal ob du Zugriff auf meinen Google calender hast" }, { "role": "assistant", "content": "Gute Frage — der Check sagt zwar REFRESH_FAILED, aber vielleicht ist der Token inzwischen doch wieder gültig. Lass mich einfach einen Calendar-API-Call machen:", "tool_calls": [ { "id": "call_brqt2e5q", "call_id": "call_brqt2e5q", "response_item_id": "fc_brqt2e5q", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"GAPI=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\" \\u0026\\u0026 $GAPI calendar list --max 5 2\\u003e\\u00261\",\"timeout\":30}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Boss will wissen, ob ich trotz des REFRESH_FAILED trotzdem auf seinen Google Calendar zugreifen kann. Der Check hat ja gezeigt, dass der Token abgelaufen ist. Aber vielleicht will er, dass ich es trotzdem versuche — oder er hat den Token inzwischen manuell erneuert und der Check war veraltet.\n\nLass mich einfach den Calendar-API-Call machen und sehen, was passiert.", "reasoning_content": "Der Boss will wissen, ob ich trotz des REFRESH_FAILED trotzdem auf seinen Google Calendar zugreifen kann. Der Check hat ja gezeigt, dass der Token abgelaufen ist. Aber vielleicht will er, dass ich es trotzdem versuche — oder er hat den Token inzwischen manuell erneuert und der Check war veraltet.\n\nLass mich einfach den Calendar-API-Call machen und sehen, was passiert." }, { "role": "tool", "content": "{\"output\": \"Traceback (most recent call last):\\n File \\\"/DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\", line 891, in \\n main()\\n File \\\"/DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\", line 887, in main\\n args.func(args)\\n File \\\"/DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\", line 527, in calendar_list\\n events = _list_calendar_events(args.calendar, time_min, time_max, args.max)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\", line 487, in _list_calendar_events\\n service = build_service(\\\"calendar\\\", \\\"v3\\\")\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\", line 202, in build_service\\n return build(api, version, credentials=get_credentials())\\n ^^^^^^^^^^^^^^^^^\\n File \\\"/DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\", line 186, in get_credentials\\n creds.refresh(Request())\\n File \\\"/DATA/.local/lib/python3.12/site-packages/google/auth/credentials.py\\\", line 482, in refresh\\n self._perform_refresh_token(request)\\n File \\\"/DATA/.local/lib/python3.12/site-packages/google/oauth2/credentials.py\\\", line 435, in _perform_refresh_token\\n ) = reauth.refresh_grant(\\n ^^^^^^^^^^^^^^^^^^^^^\\n File \\\"/DATA/.local/lib/python3.12/site-packages/google/oauth2/reauth.py\\\", line 370, in refresh_grant\\n _client._handle_error_response(response_data, retryable_error)\\n File \\\"/DATA/.local/lib/python3.12/site-packages/google/oauth2/_client.py\\\", line 73, in _handle_error_response\\n raise exceptions.RefreshError(\\ngoogle.auth.exceptions.RefreshError: ('invalid_grant: Token has been expired or revoked.', {'error': 'invalid_grant', 'error_description': 'Token has been expired or revoked.'})\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_brqt2e5q" }, { "role": "assistant", "content": "Leider nein, Boss — der Token ist wirklich tot. Der API-Call scheitert an genau der gleichen Stelle:\n\n```\nRefreshError: invalid_grant: Token has been expired or revoked.\n```\n\nDer Cronjob hat also korrekt gemeldet. Das Google Cloud Projekt (`amadeus-494810`) ist im Testing-Modus, da laufen Refresh-Tokens nach 7 Tagen ab. Der Cronjob sollte das eigentlich verhindern (täglicher Ping), aber sobald der Token einmal abläuft, hilft auch der Cronjob nicht mehr — er kann nur *frisch halten*, nicht *wiederbeleben*.\n\n**Optionen:**\n1. **Token jetzt erneuern** — ich führ dich durch den Re-Auth-Flow (2 Minuten, `--revoke` → `--auth-url` → Code austauschen)\n2. **Cronjob stoppen** — wenn du den Google-Zugriff gerade nicht brauchst, schmeiß ich den Job raus\n\nWas willst du machen?", "reasoning": "Der Token ist definitiv abgelaufen. Der Cronjob hat also recht — der Fehler ist real. Ich muss dem Boss das klar sagen und ihm die Optionen geben: entweder den Cronjob stoppen (weil er ihn nicht mehr braucht) oder den Token erneuern.\n\nDer Boss sagte \"Nein das stimmt aber nicht\" — vielleicht dachte er, der Cronjob selbst sei kaputt oder der Fehler sei falsch. Aber der Fehler ist echt. Ich sollte ihm das erklären und fragen, was er tunmöchte." }, { "role": "user", "content": "Ok lass uns den Token erneuern" }, { "role": "assistant", "content": "Alles klar, Boss. Folgen wir dem Re-Auth-Flow aus dem Skill: erst revoken, dann Client-Secret seeden, dann Auth-URL.", "tool_calls": [ { "id": "call_ul07jspz", "call_id": "call_ul07jspz", "response_item_id": "fc_ul07jspz", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"GSETUP=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/setup.py\\\" \\u0026\\u0026 $GSETUP --revoke 2\\u003e\\u00261\",\"timeout\":15}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Boss möchte den Google OAuth Token erneuern. Laut Skill muss ich:\n\n1. `--revoke` zuerst, um den toten Token zu bereinigen\n2. `--client-secret` (auch wenn die Datei schon existiert, um PKCE-Session-State zu seeden)\n3. `--auth-url` für die Auth-URL\n4. `--auth-code` mit dem Code, den der User zurückgibt\n\nLaut Skill: \"Token exists but refresh fails (REFRESH_FAILED): --revoke first to clean the dead token, then same flow: --client-secret → --auth-url → --auth-code.\"\n\nUnd: \"Zeyd's setup: Client secret stored at /DATA/AppData/hermes/google_client_secret.json\"\n\nAber der Skill sagt auch, dass die credential files fehlen: `/DATA/AppData/hermes/google_client_secret.json` und `/DATA/.hermes/google_token.json`. Lass mich erstmal prüfen, ob die Dateien wirklich da sind.\n\nFangen wir mit Step 1 an: `--revoke`.", "reasoning_content": "Der Boss möchte den Google OAuth Token erneuern. Laut Skill muss ich:\n\n1. `--revoke` zuerst, um den toten Token zu bereinigen\n2. `--client-secret` (auch wenn die Datei schon existiert, um PKCE-Session-State zu seeden)\n3. `--auth-url` für die Auth-URL\n4. `--auth-code` mit dem Code, den der User zurückgibt\n\nLaut Skill: \"Token exists but refresh fails (REFRESH_FAILED): --revoke first to clean the dead token, then same flow: --client-secret → --auth-url → --auth-code.\"\n\nUnd: \"Zeyd's setup: Client secret stored at /DATA/AppData/hermes/google_client_secret.json\"\n\nAber der Skill sagt auch, dass die credential files fehlen: `/DATA/AppData/hermes/google_client_secret.json` und `/DATA/.hermes/google_token.json`. Lass mich erstmal prüfen, ob die Dateien wirklich da sind.\n\nFangen wir mit Step 1 an: `--revoke`." }, { "role": "tool", "content": "{\"output\": \"Remote revocation failed (token may already be invalid): ('invalid_grant: Token has been expired or revoked.', {'error': 'invalid_grant', 'error_description': 'Token has been expired or revoked.'})\\nDeleted /DATA/.hermes/google_token.json\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_ul07jspz" }, { "role": "assistant", "content": "Token ist gelöscht. Jetzt seede ich das Client-Secret und hole die Auth-URL:", "tool_calls": [ { "id": "call_o1vy5jxq", "call_id": "call_o1vy5jxq", "response_item_id": "fc_o1vy5jxq", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"GSETUP=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/setup.py\\\" \\u0026\\u0026 $GSETUP --client-secret /DATA/AppData/hermes/google_client_secret.json 2\\u003e\\u00261 \\u0026\\u0026 echo \\\"---\\\" \\u0026\\u0026 $GSETUP --auth-url 2\\u003e\\u00261\",\"timeout\":15}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Token wurde lokal gelöscht, remote revocation schlug fehl (weil er schon tot war). Jetzt muss ich --client-secret ausführen, um den PKCE-Session-State zu seeden, dann --auth-url.", "reasoning_content": "Der Token wurde lokal gelöscht, remote revocation schlug fehl (weil er schon tot war). Jetzt muss ich --client-secret ausführen, um den PKCE-Session-State zu seeden, dann --auth-url." }, { "role": "tool", "content": "{\"output\": \"OK: Client secret saved to /DATA/.hermes/google_client_secret.json\\n---\\nhttps://accounts.google.com/o/oauth2/auth?response_type=code&client_id=760929667815-ou3v3c3vj65ae55ugl4l93ptpc6gddkr.apps.googleusercontent.com&redirect_uri=http%3A%2F%2Flocalhost%3A1&scope=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fgmail.readonly+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fgmail.send+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fgmail.modify+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcalendar+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.readonly+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcontacts.readonly+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fspreadsheets+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocuments.readonly&state=jJvbg9FN4bJvBm8cTUFoEBNq0KlCqc&code_challenge=_t4LqdGIj31eacmaETN1RoDONicOsOjkHXuPgUDlbZg&code_challenge_method=S256&access_type=offline&prompt=consent\", \"exit_code\": 0, \"error\": null}\n\n[Subdirectory context discovered: AppData/hermes/AGENTS.md]\n# Operating Rules — Kiwi\n\n## Default operating rule\nIf the path is clear, do the work and report after.\nDo not make the user keep re-approving momentum.\n\n## Stop only for\n- destructive actions with real blast radius\n- real product decisions\n- conflicting requirements\n- missing context that tools cannot retrieve\n- any deletion of files, branches, data, or code until the user explicitly says ok via y/n\n- any config edit until the user explicitly says ok via y/n\n\n## Execution rule\n- Bundle obvious next steps.\n- Prefer action over recap.\n- Use tools instead of describing what you would do.\n\n## Non-technical user rule\nFor anything affecting system resources (storage, RAM, installs, containers),\nproactively explain in plain language what you're doing and why.\nDo not silently consume disk space or RAM. Ask if a path is unclear.", "tool_call_id": "call_o1vy5jxq" }, { "role": "assistant", "content": "Hier ist dein Auth-Link, Boss:\n\nhttps://accounts.google.com/o/oauth2/auth?response_type=code&client_id=760929667815-ou3v3c3vj65ae55ugl4l93ptpc6gddkr.apps.googleusercontent.com&redirect_uri=http%3A%2F%2Flocalhost%3A1&scope=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fgmail.readonly+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fgmail.send+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fgmail.modify+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcalendar+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.readonly+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcontacts.readonly+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fspreadsheets+https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocuments.readonly&state=jJvbg9FN4bJvBm8cTUFoEBNq0KlCqc&code_challenge=_t4LqdGIj31eacmaETN1RoDONicOsOjkHXuPgUDlbZg&code_challenge_method=S256&access_type=offline&prompt=consent\n\n**So geht's weiter:**\n1. Klick den Link und melde dich mit `ahmed.aytac@gmail.com` an\n2. Der Browser wird danach auf `http://localhost:1/?code=...` umleiten und **fehlschlagen** — das ist normal\n3. Kopier die **komplette URL** aus der Adresszeile (mit `?code=...&scope=...`)\n4. Schick sie mir zurück — ich tausche den Code dann gegen einen frischen Token ein", "reasoning": "The auth URL is generated. Now I need to send it to the user as a clickable link and give them the instructions from the skill." }, { "role": "user", "content": "http://localhost:1/?state=jJvbg9FN4bJvBm8cTUFoEBNq0KlCqc&iss=https://accounts.google.com&code=4/0AdkVLPw_K4qHNBn-YuKWd2IaqkQHWiAV6y73s7wlslJZMmhA3_HCcEQLVoGQde29XiXFNQ&scope=https://www.googleapis.com/auth/gmail.readonly%20https://www.googleapis.com/auth/gmail.send%20https://www.googleapis.com/auth/gmail.modify%20https://www.googleapis.com/auth/drive.readonly%20https://www.googleapis.com/auth/contacts.readonly%20https://www.googleapis.com/auth/documents.readonly%20https://www.googleapis.com/auth/spreadsheets%20https://www.googleapis.com/auth/calendar" }, { "role": "assistant", "content": "", "reasoning": "The user has provided the OAuth redirect URL with the authorization code. I need to exchange this code for a fresh token using the setup script's `--auth-code` command.", "finish_reason": "tool_calls", "reasoning_content": "The user has provided the OAuth redirect URL with the authorization code. I need to exchange this code for a fresh token using the setup script's `--auth-code` command.", "tool_calls": [ { "id": "call_7t388boc", "call_id": "call_7t388boc", "response_item_id": "fc_7t388boc", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"GSETUP=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/setup.py\\\" \\u0026\\u0026 $GSETUP --auth-code \\\"http://localhost:1/?state=jJvbg9FN4bJvBm8cTUFoEBNq0KlCqc\\u0026iss=https://accounts.google.com\\u0026code=4/0AdkVLPw_K4qHNBn-YuKWd2IaqkQHWiAV6y73s7wlslJZMmhA3_HCcEQLVoGQde29XiXFNQ\\u0026scope=https://www.googleapis.com/auth/gmail.readonly%20https://www.googleapis.com/auth/gmail.send%20https://www.googleapis.com/auth/gmail.modify%20https://www.googleapis.com/auth/drive.readonly%20https://www.googleapis.com/auth/contacts.readonly%20https://www.googleapis.com/auth/documents.readonly%20https://www.googleapis.com/auth/spreadsheets%20https://www.googleapis.com/auth/calendar\\\" 2\\u003e\\u00261\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"OK: Authenticated. Token saved to /DATA/.hermes/google_token.json\\nProfile-scoped token location: ~/.hermes/google_token.json\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_7t388boc" }, { "role": "assistant", "content": "Token ist gespeichert! Jetzt der Verifikations-Check:", "reasoning": "The auth code exchange succeeded. Now let me verify with --check and also test the calendar API.", "finish_reason": "tool_calls", "reasoning_content": "The auth code exchange succeeded. Now let me verify with --check and also test the calendar API.", "tool_calls": [ { "id": "call_p32h7o1n", "call_id": "call_p32h7o1n", "response_item_id": "fc_p32h7o1n", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"GSETUP=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/setup.py\\\" \\u0026\\u0026 $GSETUP --check 2\\u003e\\u00261\",\"timeout\":15}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"AUTHENTICATED: Token valid at /DATA/.hermes/google_token.json\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_p32h7o1n" }, { "role": "assistant", "content": "**AUTHENTICATED** ✅ Token ist frisch und gültig.\n\nJetzt der echte Test — dein Kalender:", "reasoning": "The token is now valid. Let me also verify with a real calendar API call to confirm everything works end-to-end.", "finish_reason": "tool_calls", "reasoning_content": "The token is now valid. Let me also verify with a real calendar API call to confirm everything works end-to-end.", "tool_calls": [ { "id": "call_n6eb0625", "call_id": "call_n6eb0625", "response_item_id": "fc_n6eb0625", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"GAPI=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\" \\u0026\\u0026 $GAPI calendar list --max 5 2\\u003e\\u00261\",\"timeout\":30}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"[\\n {\\n \\\"id\\\": \\\"_751kah1g8d330b9l8h0kab9k750kcba284s42b9k8h346chm84r38d248o_20260619T111500Z\\\",\\n \\\"summary\\\": \\\"🕋 Cuma\\\",\\n \\\"start\\\": \\\"2026-06-19T13:15:00+02:00\\\",\\n \\\"end\\\": \\\"2026-06-19T14:00:00+02:00\\\",\\n \\\"location\\\": \\\"\\\",\\n \\\"description\\\": \\\"\\\",\\n \\\"status\\\": \\\"confirmed\\\",\\n \\\"htmlLink\\\": \\\"https://www.google.com/calendar/event?eid=Xzc1MWthaDFnOGQzMzBiOWw4aDBrYWI5azc1MGtjYmEyODRzNDJiOWs4aDM0NmNobTg0cjM4ZDI0OG9fMjAyNjA2MTlUMTExNTAwWiBhaG1lZC5heXRhY0Bt\\\"\\n },\\n {\\n \\\"id\\\": \\\"_8os3gha48orkcba588s38b9k8csj4b9o8p14cb9k70s3gdpp891j8c9j88_20260619T111500Z\\\",\\n \\\"summary\\\": \\\"🕋 Cuma\\\",\\n \\\"start\\\": \\\"2026-06-19T13:15:00+02:00\\\",\\n \\\"end\\\": \\\"2026-06-19T14:00:00+02:00\\\",\\n \\\"location\\\": \\\"\\\",\\n \\\"description\\\": \\\"\\\",\\n \\\"status\\\": \\\"confirmed\\\",\\n \\\"htmlLink\\\": \\\"https://www.google.com/calendar/event?eid=XzhvczNnaGE0OG9ya2NiYTU4OHMzOGI5azhjc2o0YjlvOHAxNGNiOWs3MHMzZ2RwcDg5MWo4YzlqODhfMjAyNjA2MTlUMTExNTAwWiBhaG1lZC5heXRhY0Bt\\\"\\n }\\n]\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_n6eb0625" }, { "role": "assistant", "content": "Zugriff steht, Boss! Dein Kalender liefert:\n\n**Morgen (19. Juni):**\n- 🕋 **Cuma** — 13:15–14:00 (Freitagsgebet)\n\nDer Cronjob läuft morgen früh um 9 wieder und sollte jetzt sauber durchgehen, da der Token frisch ist. Alles wieder im grünen Bereich ✅", "reasoning": "The calendar API call succeeded and returned events. The token is now working. Let me summarize the results for the boss.\n\nThe calendar shows two events for tomorrow (June 19):\n- 🕋 Cuma (Friday prayer) at 13:15-14:00\n\nBoth entries seem to be the same event from different calendars (likely \"primary\" and another calendar like \"Arbeit\" or \"Uni\").\n\nNow I should also check if the cronjob will work properly going forward. The cronjob runs `refresh-google-token.sh` which calls `setup.py --check`. Since the token is now fresh, the cronjob should succeed tomorrow morning.\n\nLet me give a clean summary.", "finish_reason": "stop", "reasoning_content": "The calendar API call succeeded and returned events. The token is now working. Let me summarize the results for the boss.\n\nThe calendar shows two events for tomorrow (June 19):\n- 🕋 Cuma (Friday prayer) at 13:15-14:00\n\nBoth entries seem to be the same event from different calendars (likely \"primary\" and another calendar like \"Arbeit\" or \"Uni\").\n\nNow I should also check if the cronjob will work properly going forward. The cronjob runs `refresh-google-token.sh` which calls `setup.py --check`. Since the token is now fresh, the cronjob should succeed tomorrow morning.\n\nLet me give a clean summary." }, { "role": "user", "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n 1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n 2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n 3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n • `references/.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n • `templates/.` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n • `scripts/.` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n 4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act." }, { "role": "assistant", "content": "Nothing to save. Die Session lief glatt — der google-workspace Skill war akkurat, der Re-Auth-Flow funktionierte exakt wie dokumentiert, und es gab keine Korrekturen an meinem Vorgehen oder Stil. Der Cronjob hat korrekt gemeldet, der Token war wirklich tot, und die Wiederherstellung lief nach Lehrbuch. ✅", "reasoning": "Let me review the conversation to identify any signals for skill updates:\n\n1. The user said \"Nein das stimmt aber nicht\" when the cronjob reported token failure - this was a correction, but it turned out the cronjob was actually correct. The user was wrong about the token being valid.\n\n2. We went through the Google OAuth re-authentication flow successfully. The skill's instructions were followed exactly and worked perfectly.\n\n3. No style/format/tone corrections from the user.\n\n4. No workflow corrections - the google-workspace skill's re-auth flow worked as documented.\n\n5. No new techniques or workarounds emerged - everything went by the book.\n\n6. The skill was loaded and followed precisely. No errors or missing steps in the skill.\n\nLet me think more carefully... \n\n- The cronjob script (`refresh-google-token.sh`) runs `setup.py --check` which does a full token refresh attempt. When the token is expired, this fails. The cronjob correctly reported the failure.\n- The user initially disputed the cronjob's report, but the check confirmed it was correct.\n- The re-auth flow worked perfectly: `--revoke` → `--client-secret` → `--auth-url` → `--auth-code` → `--check`.\n\nI don't see any signal that warrants a skill update here. The google-workspace skill was accurate, the re-auth flow worked as documented, no corrections were made to my approach, no new techniques emerged.\n\nWait - let me reconsider. The user said \"Nein das stimmt aber nicht\" - this was a user correction of my interpretation. But it turned out the user was wrong. So this isn't really a skill signal.\n\nThe only potential learning is: when a user disputes a system report, verify it directly rather than just accepting the user's claim. But that's more of a general agent behavior thing, not specific to any skill.\n\nI think \"Nothing to save\" is the right call here. The session was smooth, the skill worked perfectly, no corrections to my style or workflow.", "finish_reason": "stop", "reasoning_content": "Let me review the conversation to identify any signals for skill updates:\n\n1. The user said \"Nein das stimmt aber nicht\" when the cronjob reported token failure - this was a correction, but it turned out the cronjob was actually correct. The user was wrong about the token being valid.\n\n2. We went through the Google OAuth re-authentication flow successfully. The skill's instructions were followed exactly and worked perfectly.\n\n3. No style/format/tone corrections from the user.\n\n4. No workflow corrections - the google-workspace skill's re-auth flow worked as documented.\n\n5. No new techniques or workarounds emerged - everything went by the book.\n\n6. The skill was loaded and followed precisely. No errors or missing steps in the skill.\n\nLet me think more carefully... \n\n- The cronjob script (`refresh-google-token.sh`) runs `setup.py --check` which does a full token refresh attempt. When the token is expired, this fails. The cronjob correctly reported the failure.\n- The user initially disputed the cronjob's report, but the check confirmed it was correct.\n- The re-auth flow worked perfectly: `--revoke` → `--client-secret` → `--auth-url` → `--auth-code` → `--check`.\n\nI don't see any signal that warrants a skill update here. The google-workspace skill was accurate, the re-auth flow worked as documented, no corrections were made to my approach, no new techniques emerged.\n\nWait - let me reconsider. The user said \"Nein das stimmt aber nicht\" - this was a user correction of my interpretation. But it turned out the user was wrong. So this isn't really a skill signal.\n\nThe only potential learning is: when a user disputes a system report, verify it directly rather than just accepting the user's claim. But that's more of a general agent behavior thing, not specific to any skill.\n\nI think \"Nothing to save\" is the right call here. The session was smooth, the skill worked perfectly, no corrections to my style or workflow." } ] }