Show HN: Codex-review – a read-only cross-model review skill for Claude Code (github.com)

A new tool named Codex-review has been introduced, designed to enhance code review processes by integrating a read-only capability that leverages OpenAI’s Codex CLI. This agent skill acts as a cross-model review mechanism, allowing a different model to evaluate code diffs independently from the original author and same-model reviewers. This setup aims to uncover potential blind spots by combining perspectives from multiple AI models, enhancing the review's thoroughness, especially for high-stakes changes. The significance of Codex-review lies in its utility for developers seeking an additional layer of scrutiny in code assessments. It operates as a decorrelation seam, which ensures that the assessments provided by different models are distinct and add value rather than simply reiterate the same observations. The skill is structured to be read-only, meaning it does not alter any code but provides insights based on a variety of prompts and model inputs. This enables developers to verify findings critically, making it particularly beneficial in complex scenarios where enhanced judgment is needed. The tool aligns with ongoing efforts in the AI community to create more robust, multi-agent systems that optimize code quality through diverse model inputs.