codex

Review code changes via OpenAI Codex CLI with pass/fail verdicts.

Updated Apr 3, 2026
One-click install
npx skills add https://github.com/lyh2/gstack-deepseek --skill codex-lyh2
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/lyh2/gstack-deepseek/tree/main/codex
Command: npx skills add https://github.com/lyh2/gstack-deepseek --skill codex-lyh2

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Codex CLI wrapper provides an independent, blunt second opinion on code changes by interfacing with the OpenAI Codex CLI. It supports three modes: code review, adversarial challenge, and consult, enabling rigorous code quality checks faster.

Core Features & Use Cases

  • Independent code review against branch diffs with gate-style pass/fail.
  • Adversarial challenge to probe edge cases, security, and resilience.
  • Session-backed consult mode for on-demand questions and follow-ups.

Quick Start

Run Codex on the current diff to obtain an unbiased assessment and actionable recommendations.

Frequently Asked Questions about codex

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get an independent code review on my branch diff?

To get an independent code review, run the Codex wrapper on your current branch diff. It provides a blunt second opinion, surfacing a clear pass/fail verdict and actionable recommendations for production code.

Can I use an adversarial challenge to probe edge cases in my code?

Yes, you can use the adversarial challenge mode to probe edge cases. This mode specifically targets security vulnerabilities and resilience issues, rigorously testing your code changes against unexpected scenarios.

What is the best way to ask follow-up questions after an initial code assessment?

The best way to ask follow-up questions is using the session-backed consult mode. It enables on-demand inquiries regarding your code changes, allowing for continuous dialogue until all quality checks are resolved.

Does this CLI wrapper provide a clear pass or fail gate for production code?

Yes, the CLI wrapper provides an independent gate-style pass/fail verdict. It evaluates code changes against branch diffs and delivers actionable recommendations, ensuring rigorous quality checks before production deployment.

Are there limitations to using an AI-assisted tool for security code review?

While AI-assistance accelerates security code review, it serves as a blunt second opinion rather than a complete replacement for human oversight. It probes resilience and edge cases but requires developer judgment for final production decisions.