Skill Self Improving Agent

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...

This skill appears to do what it says: inject lightweight reminders, detect obvious command errors, and scaffold promoted learnings into new skills. Before enabling it: 1) Inspect the included scripts (hooks/openclaw/handler.*, scripts/*.sh) yourself to confirm you’re comfortable with what they write/print; 2) Note that error-detector.sh reads CLAUDE_TOOL_OUTPUT (not a secret) and will output a short reminder when an error pattern is found; 3) Only enable the OpenClaw/Claude hooks if you want those scripts to run with your agent's permissions; consider enabling at project-level rather than globally; 4) Use extract-skill.sh with --dry-run first to see what it would create; 5) Verify the referenced GitHub repo/source if you plan to clone from it. If you need deeper assurance, ask the maintainer for a signed release or run the scripts in a sandboxed workspace first.

Type: OpenClaw Skill Name: skill-self-improving-agent Version: 1.0.0 The skill bundle provides a structured framework for an AI agent to implement a self-improvement loop by logging errors, corrections, and new insights into markdown files (e.g., .learnings/LEARNINGS.md). It includes utility scripts like activator.sh and error-detector.sh to provide context-aware reminders to the agent, and extract-skill.sh to scaffold new skills from logged entries. The code is well-documented, lacks obfuscation, and includes explicit safety checks in the extraction script to prevent path traversal, indicating a legitimate tool for agent memory management rather than malicious intent.