peer-review-loop
Installation
SKILL.md
Peer Review Loop — Cavekit + Ralph Loop + Codex Peer reviewer
Run a Cavekit cavekit through a Ralph Loop where Claude builds and Codex adversarially reviews. This is the most rigorous automated quality process available: every few iterations, a completely different model (different training data, different biases, different blind spots) challenges your implementation.
Why This Works
| Factor | Single-Model Loop | Peer Review Loop |
|---|---|---|
| Blind spots | Same model, same blind spots every iteration | Two models catch different classes of issues |
| Cavekit drift | Builder may silently deviate from cavekit | Peer reviewer checks cavekit compliance explicitly |
| Quality floor | Converges to "good enough for one model" | Converges to "survives cross-examination" |
| Dead ends | May retry failed approaches | Peer reviewer flags repeated patterns |