codex

Wrap the OpenAI Codex CLI for code review and adversarial challenges.

Updated Jun 11, 2026
One-click install
npx skills add https://github.com/26mitch26/ai-mall --skill codex-26mitch26
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/26mitch26/ai-mall/tree/main/.claude/skills/codex
Command: npx skills add https://github.com/26mitch26/ai-mall --skill codex-26mitch26

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai-codex-cli, and includes scripts (resource) components.

What problem does it solve?

This Skill provides a wrapper for the OpenAI Codex CLI, enabling code review, second opinions, and adversarial challenges to improve code quality and collaboration.

Core Features & Use Cases

  • Code Review: Independent diff review via 'codex review' with pass/fail gate.
  • Second Opinion: Get a '200 IQ autistic developer' perspective on your code.
  • Adversarial Challenge: Challenge your code to ensure it can withstand different perspectives.
  • Consult: Ask Codex anything with session continuity for follow-ups.

Quick Start

Run 'codex review' to get an independent code review.

Frequently Asked Questions about codex

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

FAQPage Schema
How do I get a second opinion on my code using OpenAI Codex?

You can get a second opinion on your code by running the 'codex review' command, which acts as a wrapper for the OpenAI Codex CLI. This provides an independent diff review and a pass/fail gate to ensure code quality.

What is an adversarial challenge in code review?

An adversarial challenge in code review is a process that tests your code to ensure it can withstand different perspectives and rigorous scrutiny. Using the OpenAI Codex CLI, this approach challenges your logic to improve overall code quality and resilience.

Do I need the OpenAI Codex CLI installed to run automated code reviews?

Yes, you need the OpenAI Codex CLI installed and configured to run automated code reviews. This Skill acts as a wrapper that requires the associated CLI tools to execute commands for code quality assurance and improvement workflows.

Can I ask Codex follow-up questions after an initial code review?

Yes, you can ask Codex follow-up questions after an initial code review using the 'Consult' feature. This functionality provides session continuity, allowing you to ask Codex anything while maintaining the context of your previous code review queries.

How does the OpenAI Codex CLI wrapper handle code quality assurance?

The OpenAI Codex CLI wrapper handles code quality assurance by applying independent diff reviews with a pass/fail gate. It enables code collaboration and improvement workflows by challenging your code against different perspectives to validate its robustness.