Reflect

Self-improvement through conversation analysis. Extracts learnings from corrections and success patterns, proposes updates to agent files or creates new skil...

Install only if you want a skill that can preserve conversation-derived learnings across sessions and projects. Review proposed diffs carefully, avoid approving learnings that contain secrets or private content, consider setting REFLECT_STATE_DIR to a project-local/private location, and do not enable the hook or auto-reflection until you are comfortable with the local files it writes.

Type: OpenClaw Skill Name: reflect-learn Version: 2.1.0 The skill is designed for agent self-improvement, allowing it to analyze conversations, propose updates to its own configuration files, and create new skills. While this involves powerful capabilities like modifying agent files, creating new skill definitions, and using the `Bash` tool, the `SKILL.md` explicitly outlines strong safety guardrails, including mandatory human approval for all proposed changes, Git versioning for easy rollbacks, and incremental updates. The Python scripts handle file operations within expected `.claude/` and `~/.reflect/` directories, and there is no evidence of data exfiltration, unauthorized persistence, or malicious execution beyond the stated purpose. The instructions themselves do not contain prompt injection attempts to bypass security or hide actions.