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codex

Review OpenAI Codex CLI outputs and branch diffs with streaming gate verdicts.

Updated Aug 27, 2026
Search Tags:#analysis#codex#diff#code-review#adversarial#cross-model
One-click install
npx skills add https://github.com/mmunro3318/3d-render-pipeline --skill codex-mmunro3318
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/mmunro3318/3d-render-pipeline/tree/main/.claude/skills/gstack/codex
Command: npx skills add https://github.com/mmunro3318/3d-render-pipeline --skill codex-mmunro3318

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides an independent, blunt evaluation of OpenAI Codex outputs and branch diffs to catch issues that automated reviews may miss.

Core Features & Use Cases

  • Three modes: review, challenge, and consult, to examine code changes or prompts from multiple angles.
  • Cross-model comparison with Claude's own review for a deeper risk assessment.
  • Streaming, auditable outputs including gate verdicts and token costs for reproducibility and accountability.

Quick Start

Run codex review on the current diff to generate an independent second opinion.

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 second opinion on OpenAI Codex CLI code diffs?▼

You can get a brutally honest second opinion on Codex CLI outputs by running a cross-model review against Claude's analysis. This applies to branch diffs and plan reviews, streaming gate verdicts and token costs for accountability.

How does cross-model code review work for catching issues in automated code generation?▼

Cross-model code review compares OpenAI Codex CLI outputs against Claude's independent review for deeper risk assessment. It streams auditable gate verdicts and token costs, catching issues automated reviews may miss.

Do I need a local Codex binary to run adversarial code review challenges?▼

Yes, running adversarial code review requires having a Codex binary accessible and the ability to execute review or challenge modes. Outputs are stored for later review to ensure reproducibility.

What is the best way to review branch diffs from multiple angles before merging?▼

The best approach is using three modes—review, challenge, and consult—to examine code changes or prompts from multiple angles. This generates an independent, blunt evaluation to catch missed issues.

Can I use consult mode to evaluate prompts instead of just reviewing code changes?▼

Yes, consult mode evaluates prompts alongside review and challenge modes. It examines code changes or prompts from multiple angles, providing a blunt evaluation and streaming auditable outputs including token costs.

Why does my automated code review miss issues that an adversarial review catches?▼

Automated reviews miss issues because they lack an independent, brutally honest evaluation. An adversarial cross-model comparison with Claude provides deeper risk assessment and streams gate verdicts to catch overlooked problems.

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