Enable managers to self-diagnose, identify defects, track improvements, and maintain skill health without relying on external prompts.

This skill appears to do what it claims: local self-diagnostics and a local evolution log. Before enabling it (especially with autonomous invocation): 1) Review the bundled self-check.py yourself (you already have it) to confirm no network calls or unexpected behavior (the script has none). 2) Note it reads files under /root/.openclaw/workspace and lists all skills — those locations may contain private conversations or other sensitive data, so only enable it if you're comfortable allowing a skill to read those files. 3) Consider running it manually first (python3 self-check.py diagnose) to see what it logs. 4) If you want stricter isolation, run the script in a sandbox or adjust the WORKSPACE path to a restricted directory. 5) If you expect the agent to act on discovered issues automatically, ensure user-confirmation flows are enforced (the SKILL.md promises user confirmation for major changes but the script only logs findings).

Type: OpenClaw Skill Name: manager-self-evolution Version: 1.0.0 The 'manager-self-evolution' skill bundle is a diagnostic utility designed to help an OpenClaw agent monitor its own performance and consistency. The SKILL.md instructions and self-check.py script focus on reading local workspace files (such as MEMORY.md and SOUL.md) to identify potential understanding errors or missing implementation files. The code uses standard Python libraries, performs no network operations, and explicitly includes safeguards such as requiring user confirmation for major changes and prioritizing read-only access.