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 intentionally want a skill that can propose and apply persistent changes to agent instructions and create new skills. Keep auto-reflection hooks disabled until you review the hook script and settings snippet, require explicit approval before any edits, remove the bundled logs from the package, validate skill names before file creation, and pin hook dependencies.

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.