cross-model-review

Installation
SKILL.md

Cross-Model Code Review

Cross-model validation: the authoring model writes code, a different model reviews it. Different architectures, different training distributions, no self-approval bias.

Core insight: Single-model self-review is systematically biased. The same blind spots that let bugs through during writing let them through during review. Cross-model review catches different bug classes because the reviewer has fundamentally different failure modes.

How to read this skill: patterns and decision trees below are guidelines. Pick what fits, blend when needed. The rules marked ⚠️ are different: they're real CLI behaviors (yield_time_ms, the -- separator, scope flags), not procedural ceremony. A Jun 2026 audit across 4k+ Claude/Codex JSONL conversations found claude -p failures clustering around these mechanics, plus zsh wrapper mistakes. Treat them as facts about the tool, not opinions about workflow.

Direction & Pre-Flight

Identify the host first. The host runs the other model's CLI as a subprocess.

Current host You invoke Direction
Claude Code codex CLI Claude writes → Codex reviews
Codex claude CLI Codex writes → Claude reviews
Pi (pi-nova pack) /xreview (wraps codex exec) Pi writes → Codex reviews

Confirm the reviewer is reachable before the real call:

Installs
11
GitHub Stars
23
First Seen
Apr 21, 2026
cross-model-review — hyperb1iss/hyperskills