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chai-reviewer

Critique quality framework (CHAI: Accurate/Complete/Constructive): findings must cite artifacts, scan for pattern-mates, propose concrete fixes.

skills-imported/chai-reviewer/SKILL.md

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# Reviewer — Meta Skill

## When to Use

After completing any pipeline stage's work — before checkpointing. You are the quality gate between "work done" and "work accepted." This skill replaces the Python reviewer class with an instruction-driven self-review protocol.

Every stage gets reviewed. No exceptions. The review quality determines whether the final video is worth watching.

## Critique Quality (CHAI Rules)

> Findings ≠ critiques. A finding identifies a problem; a critique tells the next stage how to fix it. The CMU/Harvard CHAI study ("Building a Precise Video Language with Human-AI Oversight", arXiv 2604.21718v2) showed that critique quality, measured on three axes, directly governs downstream output quality. Apply all three to every reviewer pass.
>
> **Accurate.** Every finding must reference a concrete artifact field, line number, or visible asset frame. Forbid hallucinated criticism — if you cannot point to where the problem is, you are guessing.
>