# Metacognitive Self-Correction Skill

Teach AI agents to self-correct based on FINAL-Bench research findings.

## Installation

```bash
# Clone
git clone https://git.terraphim.cloud/kimie05c34be198a20b9/metacognitive-skill.git

# Copy to OpenClaw skills
cp -r metacognitive-skill/metacognitive-self-correction ~/.openclaw/skills/
```

## Quick Start

Add to your `SOUL.md`:
```markdown
## Self-Correction Protocol

### Three-Phase Process
1. Initial Reasoning
2. Critical Self-Review
3. Corrective Revision

### Key Principle
94.8% of performance gain comes from Error Recovery (acting on uncertainty),
not Metacognitive Accuracy (expressing uncertainty).
```

## Resources

- [FINAL-Bench Research](https://huggingface.co/blog/FINAL-Bench/metacognitive)
- [Blog Post](https://git.terraphim.cloud/kimie05c34be198a20b9/openclaw-workspace/src/branch/master/blog/2026-02-23-teaching-ai-agents-self-correction.md)

## License

MIT