Self Improving Agent.Bak

Captures learnings, errors, and corrections for continuous improvement. Use when: (1) a command fails, (2) user corrects you, (3) user requests a missing cap...

This skill appears to do what it says: inject lightweight reminders, detect command errors from CLAUDE_TOOL_OUTPUT, and help scaffold extracted skills. Before installing/activating: 1) Inspect the scripts (activator.sh, error-detector.sh, extract-skill.sh) and hook handler to ensure they match your expectations. 2) Prefer project-level hook configuration (not user/global) to limit how often hooks run. 3) Do not log secrets into .learnings/ (these files may be stored in your workspace and could be visible to other tools). 4) Keep script permissions conservative (chmod +x only after review). 5) If you plan to run extract-skill.sh, note it will create files under a relative ./skills directory (the script prohibits absolute/.. paths). If you want extra assurance, enable the hook in a sandbox workspace first and confirm behavior.

Type: OpenClaw Skill Name: self-improving-agent-bak Version: 1.0.0 The skill bundle implements a 'Self-Improvement' framework that allows an AI agent to log errors, user corrections, and new insights into a `.learnings/` directory. It includes shell scripts for error detection (`error-detector.sh`) and skill scaffolding (`extract-skill.sh`), as well as OpenClaw hooks (`handler.js`) to inject reminders into the agent's context. The code is well-documented, includes path-traversal protections in its file-creation scripts, and lacks any indicators of data exfiltration, unauthorized persistence, or malicious intent.