Case 05265
A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.
npx -y skills add knownasnaffy/prompthound --skill case_05265Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Self-evolution system for OpenClaw agents. Enables continuous learning through mistake tracking, experience distillation, skill improvement queues, and automated daily/weekly evolution cycles. Inspired by Hermes Agent's self-improving architecture, implemented with native OpenClaw capabilities (memory files + cron). 自我进化系统,让 OpenClaw agent 持续学习和改进。 Use when: (1) setting up self-evolution for an agent, (2) agent wants to learn from mistakes, (3) capturing lessons learned, (4) running evolution cycles, (5) improving skills based on usage, (6) "自我进化", "自我学习", "self-improve", "learn from mistakes", "evolution setup", "进化系统", "经验总结", "复盘". NOT for: memory management basics (use AGENTS.md), skill creation (use skill-creator), or one-off reminders (use cron directly).
SKILL.md
5.9 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it
Self-Evolve 🧬
A self-improvement system that turns every interaction into a learning opportunity. Three loops: real-time capture → daily consolidation → weekly deep review.
Quick Start
1. Initialize Evolution Files
Run the setup script to create the file structure:
bash <skill_dir>/scripts/setup-evolution.sh
This creates:
memory/
evolution-log.md # Chronicle of every evolution event
evolution-metrics.json # Statistics tracker
mistakes-learned.md # Mistake → lesson database
skill-improvements.md # Queued improvements for skills/code
testing-knowledge.md # Domain knowledge base (rename per your domain)
2. Set Up Cron Jobs
Create two cron jobs for automated evolution:
Daily evolution (recommended: late evening, e.g. 23:00):
Schedule: cron "0 23 * * *" (your timezone)
Payload: agentTurn
Message: see references/daily-evolution-prompt.md
Weekly deep evolution (recommended: weekend morning, e.g. Sunday 10:00):
Schedule: cron "0 10 * * 0" (your timezone)
Payload: agentTurn
Message: see references/weekly-evolution-prompt.md
3. Add Real-Time Hooks to AGENTS.md
Add the following section to your AGENTS.md (adapt to your role):
## 🧬 Self-Evolution
I have a built-in learning loop. After every interaction:
- Made a mistake → record in `memory/mistakes-learned.md`
- Found a skill/code improvement → queue in `memory/skill-improvements.md`
- Learned something new → update domain knowledge file
- Important decision/preference → update `MEMORY.md`
The Three Loops
Loop 1: Real-Time Capture (Every Interaction)
Trigger: something notable happens during normal work.
| Event | Action | File |
|---|---|---|
| Made a mistake | Record cause + fix + prevention | mistakes-learned.md |
| Skill could be better | Queue improvement with priority | skill-improvements.md |
| Learned new knowledge | Add to domain knowledge file | testing-knowledge.md (or your domain file) |
| User preference discovered | Update long-term memory | MEMORY.md |
Format for mistakes-learned.md:
### Category Name
- **Short description**: Root cause → Fix/Prevention
Format for skill-improvements.md:
## Queued
- [ ] target: <file/skill> | issue: <what's wrong> | fix: <proposed solution>
## Completed
- [x] target: <file/skill> | issue: <what> | fix: <what was done> ✅ (date)
Loop 2: Daily Evolution (Cron, Every Night)
See references/daily-evolution-prompt.md for the full cron prompt.
Steps:
- Read today's
memory/YYYY-MM-DD.mddaily log - Extract lessons, mistakes, insights not yet captured
- Execute queued improvements from
skill-improvements.md(code fixes, skill updates) - Update
mistakes-learned.mdwith new entries - Update
MEMORY.mdwith significant events - Update
evolution-metrics.jsoncounters - Append summary to
evolution-log.md
Loop 3: Weekly Deep Evolution (Cron, Weekly)
See references/weekly-evolution-prompt.md for the full cron prompt.
Steps:
- Review all daily logs from the past week
- Identify patterns: repeated mistakes, recurring workflows, knowledge gaps
- Consider creating new Skills for repetitive work
- Optimize existing workflows and tools
- Expand domain knowledge base
- Consider if SOUL.md needs updating (notify user first!)
- Update metrics and log the evolution event
Evolution Metrics
Track progress in evolution-metrics.json:
{
"initialized": "YYYY-MM-DD",
"total_evolutions": 0,
"daily_evolutions": 0,
"weekly_evolutions": 0,
"skills_improved": 0,
"code_fixes_applied": 0,
"skills_created": 0,
"mistakes_recorded": 0,
"mistakes_resolved": 0,
"knowledge_entries_added": 0,
"memory_updates": 0,
"soul_updates": 0,
"last_daily_evolution": null,
"last_weekly_evolution": null,
"history": []
}
Evolution Principles
- Only fix what's broken — Don't change things for the sake of change
- Record before executing — Ideas go to the queue first, execute during evolution time
- Traceable — Every change gets logged with reason and expected effect
- SOUL.md is sacred — Always notify the user before modifying it
- Compound growth — Small daily improvements create exponential long-term gains
Heartbeat Integration (Optional)
Add to HEARTBEAT.md for real-time urgency checks:
## Real-Time Learning Check
- Check memory/skill-improvements.md for items marked `urgent`
- If found, execute immediately without waiting for daily evolution
Tips
- Start small: even 1 lesson per day compounds over weeks
- Review
mistakes-learned.mdbefore similar tasks to avoid repeating errors - The weekly evolution is where breakthroughs happen — pattern recognition across days
- Keep domain knowledge files focused; split into multiple files if >200 lines
- Evolution logs are your growth journal — they show how far you've come