Self Improving Agent V2

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: remind agents to log learnings, detect simple command errors, and scaffold extracted skills. Before installing or enabling hooks: (1) review the scripts (activator.sh, error-detector.sh, extract-skill.sh) — extract-skill.sh creates files/directories in the current workspace; (2) if you enable the hook by copying files to ~/.openclaw/hooks and configuring agent settings, those scripts will run with the agent's permissions, so enable only if you trust their content; (3) the error detector reads CLAUDE_TOOL_OUTPUT (agent-provided output) — no external exfiltration is present, but confirm you don't wire hooks to remote endpoints; (4) prefer installing from a repository you trust or inspect the repo contents locally. The only minor doc inconsistency: one doc claims scripts only output text but extract-skill.sh does write files — treat that as intentional functionality and review the script before running.

Type: OpenClaw Skill Name: self-improving-agent-v2 Version: 1.0.0 The skill bundle implements a 'self-improvement' framework designed to help AI agents log errors, user corrections, and new patterns into local markdown files (.learnings/) and workspace memory (SOUL.md, AGENTS.md). The included bash scripts (activator.sh, error-detector.sh, extract-skill.sh) and OpenClaw hooks (handler.js/ts) are standard utility scripts for context injection and file scaffolding; they contain appropriate path validation to prevent traversal and show no signs of data exfiltration, unauthorized network access, or malicious intent.