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 is coherent with its stated goal of logging and promoting learnings and appears safe to inspect and opt into, but take these precautions before enabling it globally: 1) Review the hook handler (hooks/openclaw/handler.{js,ts}) and the scripts (scripts/activator.sh, error-detector.sh, extract-skill.sh) so you understand what will run and when. 2) Note that enabling hooks writes or references files under your ~/.openclaw (or project) workspace and will inject reminder content into sessions — enable only if you use OpenClaw/Claude-style hooks. 3) The error detector reads CLAUDE_TOOL_OUTPUT (tool output); ensure you’re comfortable with hooks inspecting tool outputs in your environment. 4) If you enable scripts, prefer project-level (not global) configuration for testing; test with dry-run / minimal setup first. 5) The extract-skill.sh includes path checks preventing absolute/parent directory writes, but avoid running it with elevated privileges and verify generated files before promoting them. If you don’t use OpenClaw or hooks, you can still use the logging templates manually without installing hooks.

Type: OpenClaw Skill Name: warren-self-improving-agent-v2 Version: 3.0.7 The 'self-improving-agent' skill bundle is designed to help AI agents log errors, user corrections, and best practices into a local `.learnings/` directory for continuous improvement. It includes utility scripts like `extract-skill.sh` for scaffolding new skills from logs and `error-detector.sh` for identifying command failures via environment variables. The OpenClaw hooks (`handler.js`, `handler.ts`) and markdown instructions (`SKILL.md`) are strictly aligned with the stated purpose of self-documentation and workflow optimization, showing no signs of data exfiltration, unauthorized persistence, or malicious prompt injection.