Use this skill for cross-model code reviews using OpenAI Codex CLI via MCP. Activates on mentions of codex review, cross-model review, code review with codex, peer review, review my code, review this PR, review changes, codex check, second opinion, or gpt review.
Quickly install codex-review AI skill to your development environment via command line
Source: hyperb1iss/hyperskills.
Cross-model validation using Codex CLI's MCP tools. Claude writes code, Codex reviews it — different architecture, different training distribution, no self-approval bias.
Core insight: Single-model self-review is systematically biased. Cross-model review catches different bug classes because the reviewer has fundamentally different blind spots than the author.
The Codex CLI MCP server exposes two tools relevant for reviews:
Use this skill for cross-model code reviews using OpenAI Codex CLI via MCP. Activates on mentions of codex review, cross-model review, code review with codex, peer review, review my code, review this PR, review changes, codex check, second opinion, or gpt review. Source: hyperb1iss/hyperskills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/hyperb1iss/hyperskills --skill codex-reviewUse this skill for cross-model code reviews using OpenAI Codex CLI via MCP. Activates on mentions of codex review, cross-model review, code review with codex, peer review, review my code, review this PR, review changes, codex check, second opinion, or gpt review. Source: hyperb1iss/hyperskills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/hyperb1iss/hyperskills --skill codex-review Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/hyperb1iss/hyperskills