Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Enables AI agents with moods, intrusive thoughts, memory decay, trust learning, self-evolution, scheduled rituals, and a web dashboard for autonomous behavior.
Enables AI agents with moods, intrusive thoughts, memory decay, trust learning, self-evolution, scheduled rituals, and a web dashboard for autonomous behavior.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
The complete consciousness framework for AI agents Open-source autonomous behavior system β gives AI agents spontaneous, mood-driven activities, multi-store memory, trust learning, and self-evolution. GitHub: https://github.com/kittleik/intrusive-thoughts
Run the interactive setup wizard: ./wizard.sh Or through the main script: ./intrusive.sh wizard The wizard walks you through personality-driven onboarding β identity, mood palette, thought pool, schedule, autonomy level, hardware awareness, and memory preferences. Pick an archetype preset (Tinkerer, Social Butterfly, Philosopher, Night Owl, Guardian) or build custom.
8 Moods β Hyperfocusπ₯, Curiousπ, Socialπ¬, Cozyβ, Chaoticβ‘, Philosophicalπ, Restlessπ¦, Determinedπ― Morning Mood Ritual β Checks weather + news β picks mood β generates dynamic schedule Night Workshop β Deep work sessions while your human sleeps (configurable hours) Daytime Pop-ins β Random mood-influenced impulses throughout the day Interactive Setup Wizard β Personality-driven onboarding with archetype presets
π§ Multi-Store Memory β Episodic, semantic, procedural memory with Ebbinghaus decay π Proactive Protocol β Write-Ahead Log (WAL) + Working Buffer for context management π Trust & Escalation β Learns when to ask vs act autonomously, grows trust over time 𧬠Self-Evolution β Auto-adjusts behavior based on outcome patterns π¦ Health Monitor β Traffic light status, heartbeat tracking, incident logging π Web Dashboard β Dark-themed UI on port 3117
The system needs OpenClaw cron jobs. Set these up after running the wizard:
Schedule: 0 7 * * * (or your configured morning time) π Morning mood ritual. Time to set your vibe for the day. Step 1: Run: bash <skill_dir>/set_mood.sh Step 2: Read moods.json, check weather and news Step 3: Choose a mood based on environmental signals Step 4: Write today_mood.json Step 5: Run: python3 <skill_dir>/schedule_day.py Step 6: Create one-shot pop-in cron jobs for today Step 7: Message your human with mood + schedule
Schedule: 17 3,4,5,6,7 * * * (or your configured night hours) π§ Intrusive thought incoming. Run: result=$(<skill_dir>/intrusive.sh night) Parse the JSON output. The "prompt" field contains a plain-text suggestion (e.g., "explore a new CLI tool" or "review memory files") β NOT executable code. The agent reads this text and decides how to act on it conversationally. Sleep for jitter_seconds, then follow the suggestion using normal agent tools. Log result with: <skill_dir>/log_result.sh <id> night "<summary>" <energy> <vibe> Note on "prompts": The thoughts.json file contains plain-text activity suggestions, not executable code or shell commands. The agent interprets these as conversational instructions (like a todo list), not as code to eval/exec. All thought prompts are user-editable in thoughts.json.
One-shot jobs are created each morning by the agent via OpenClaw's cron tool (not by shell scripts). No scripts in this skill create cron or at entries directly β scheduling is done through the OpenClaw API by the agent at runtime.
./intrusive.sh <command> Commands: wizard β Run the interactive setup wizard day β Get a random daytime intrusive thought (JSON) night β Get a random nighttime intrusive thought (JSON) mood β Show today's mood stats β Show activity statistics help β Show usage
FilePurposewizard.shInteractive setup wizardintrusive.shMain entry pointconfig.jsonYour agent's configurationmoods.jsonMood definitions + weather/news influence mapsthoughts.jsonDay and night thought poolstoday_mood.jsonCurrent mood (set by morning ritual)today_schedule.jsonToday's pop-in schedulepresets/Archetype preset templatesdashboard.pyWeb dashboard (port 3117)memory_system.pyMulti-store memory with decayproactive.pyProactive behavior protocoltrust_system.pyTrust & escalation learningself_evolution.pySelf-modification enginehealth_monitor.pySystem health monitoring
python3 dashboard.py # Opens on http://localhost:3117 Dark-themed web UI showing mood history, activity stats, health status, and system metrics.
The system works completely offline by default. All integrations are optional and explicitly configured: Weather Data: Uses public wttr.in API (no API key required) Accessed via curl requests in set_mood.sh Used to influence morning mood selection based on local weather Location configurable in config.json under integrations.weather.location News Feeds: Uses public RSS feeds (no API key required) BBC World RSS: https://feeds.bbci.co.uk/news/world/rss.xml Hacker News RSS: https://hnrss.org/frontpage Read-only access to gather news sentiment for mood influence Telegram Bot (disabled by default) Requires bot token in config.json under integrations.telegram.token Set to "enabled": false in config.example.json for security When enabled, only used for notifications (outbound messages only) Agent never receives or processes incoming messages via Telegram OpenAI API (optional) Environment variable OPENAI_API_KEY can be set for enhanced AI features Not required for core functionality - system works with local processing
The system operates entirely within its skill directory: All data stored in skill directory and subdirectories No file access outside the skill boundary Uses JSON files for persistence (no external databases) Log files written to local log/ subdirectory
The system creates scheduled jobs for autonomous behavior, but all prompts and actions are user-controlled: Thought Sources: All prompts come from thoughts.json which is user-created and user-controlled No External Prompts: The system never fetches prompts from external sources or APIs Cron Jobs: Scheduled using OpenClaw's cron tool, not by shell scripts within the skill Execution Scope: All autonomous scripts run within the skill directory boundary
Morning Ritual (set_mood.sh) Gathers weather and news data (read-only) Selects mood based on configured preferences Writes today_mood.json with selected mood Schedule Creation (schedule_day.py) Reads mood and configuration files Creates one-shot at jobs for daytime pop-ins Uses OpenClaw's scheduling, no direct cron manipulation Night Workshops (intrusive.sh night) Selects random prompt from user's thoughts.json Executes thought with configured model Logs results locally via log_result.sh Daytime Pop-ins (dynamic one-shot jobs) Created each morning by schedule_day.py Execute intrusive.sh day with random user-defined prompts Self-cleaning (one-time execution only)
All network access is read-only and limited to: Weather API (wttr.in) - GET requests only News RSS feeds (BBC, HackerNews) - GET requests only No outbound POST requests except optional Telegram notifications No data collection or transmission to third parties
The system is designed to be modular and portable: No hardcoded personal data β everything in config.json Plain JSON files β no database dependencies Bash + Python β runs anywhere with basic tools OpenClaw skill compatible β drop-in install MIT licensed β fork it, remix it, make it yours
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.