Codex Peer Review

关于

Codex Peer Review is a specialized skill for Claude Code that introduces a rigorous 'second opinion' system for high-stakes technical decisions. By integrating with the OpenAI Codex CLI, it creates a structured dialogue between two AI models to catch potential flaws in architecture, security vulnerabilities, and logic errors before they reach production. The skill proactively triggers for multi-file changes and complex refactoring, ensuring that every proposal is stress-tested through an automated validation workflow that includes multi-round discussions and external arbitration via Perplexity or WebSearch when disagreements persist.

主要功能

• Multi-AI validation for code reviews, designs, and architectural plans
• Automated discussion protocol to resolve technical disagreements between AI models
• External arbitration via Perplexity or WebSearch for unresolved conflicts
• Context-isolated subagent dispatch to prevent main workspace pollution
• Proactive triggers for security-sensitive recommendations and breaking changes
• 12 GitHub stars

使用场景

• Validating a major architectural refactor before beginning implementation
• Conducting a secondary security audit on sensitive authentication or data logic
• Standardizing code review findings through cross-model consensus