OpenClaw Learning Loop

Capture errors, corrections, and feature requests so your OpenClaw agent improves over time instead of repeating the same mistakes. Use when commands fail, u...

This skill appears internally consistent and implements a local, opt-in learning/logging workflow. Before installing or enabling hooks, review these points: - Inspect the three scripts (activator.sh, error-detector.sh, extract-skill.sh) yourself — they run locally and are small and readable. Ensure you trust their source (SKILL.md references a GitHub repo). - Hooks are opt-in. If you enable PostToolUse hooks in a user/global settings file, the error-detector will see the tool output environment variable (CLAUDE_TOOL_OUTPUT). That variable can contain command output; the script only pattern-matches and prints a reminder, but avoid enabling PostToolUse in environments where unredacted secrets or sensitive outputs may be present. - The extract-skill helper creates files under the current workspace (./skills/) and explicitly blocks absolute or '..' paths; still, only run it in a workspace you control. - The skill recommends promoting learnings into workspace files (SOUL.md, AGENTS.md, etc.). Those are local files—beware of copying sensitive transcripts or secrets into those logs. If you want the feature: enable the UserPromptSubmit activator first (lower risk), review behavior, then opt into PostToolUse only if comfortable. If you are unsure, keep the skill installed but do not enable hooks and run the scripts manually for testing.

Type: OpenClaw Skill Name: self-improving-agent-openclaw Version: 1.0.2 The 'self-improving-agent' skill is a productivity tool designed to help AI agents log errors, user corrections, and feature requests into a local `.learnings/` directory. The bundle includes shell scripts (activator.sh, error-detector.sh, and extract-skill.sh) that provide context-aware reminders or scaffold new skill templates based on captured insights. The instructions in SKILL.md and the accompanying scripts are well-documented, include safety warnings against logging secrets, and contain basic security checks (e.g., path traversal prevention in extract-skill.sh) consistent with its stated purpose.