cross-model-review
CommunityCross-model advisory reviews for stronger PRs.
Authorjrc1883
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Cross-model advisory reviews provide an outside-voice assessment by using the opposite model family when possible, enriching PR feedback and reducing blind spots.
Core Features & Use Cases
- Cross-model advisory reviews pair Claude Code with Codex (and vice versa) to generate a normalized advisory report and a readable advisory artifact.
- Reviews can be printed to the console and optionally published as PR comments, with artifacts stored for traceability keyed to the current head SHA.
- Use cases include pre-PR readiness checks, mid-flow outside-voice reviews during branch finishing, and on-demand requests for alternative-model feedback.
Quick Start
Run the cross-model review workflow from the project root with the default provider settings.
Dependency Matrix
Required Modules
popkit_shared
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: cross-model-review Download link: https://github.com/jrc1883/popkit-ai/archive/main.zip#cross-model-review Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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