Skylv Metacognition Engine

Enables AI agents to reflect on their own reasoning, detect cognitive biases, and improve decision quality through structured self-examination loops.

This skill is internally consistent with its metacognition purpose and appears low-risk: it implements simple regex-based bias detectors and an explicit command to analyze local files. Before installing, consider: 1) If your agent has filesystem access, the 'analyze' command will read any file path you or the agent supplies — avoid giving it access to sensitive files. 2) The detection logic is heuristic and may produce false positives/negatives (regex-based); treat suggestions as guidance, not authoritative diagnosis. 3) There is no network or credential usage in the code, so the main risk is accidental local-file exposure rather than exfiltration. If you want extra assurance, review the metacognition_engine.js file yourself or run it in a sandboxed environment.

Type: OpenClaw Skill Name: skylv-metacognition-engine Version: 1.0.2 The skill bundle provides a framework for AI agents to perform self-reflection and detect cognitive biases. The core logic in `metacognition_engine.js` uses simple regex-based heuristics to identify patterns associated with biases like overconfidence or anchoring, while `SKILL.md` provides structured instructions for the agent to evaluate its own reasoning. No malicious behaviors, data exfiltration, or unauthorized execution patterns were identified.