codex

Run Codex CLI reviews, challenges, and consults on Git diffs.

Updated Mar 21, 2026
One-click install
npx skills add https://github.com/studyzy/dev-agent-protocol --skill codex-studyzy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/studyzy/dev-agent-protocol/tree/main/.claude/skills/gstack/codex
Command: npx skills add https://github.com/studyzy/dev-agent-protocol --skill codex-studyzy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides an automated, brutally honest second opinion on code changes using the Codex CLI, enabling fast, frank assessments across review, adversarial challenge, and consult prompts.

Core Features & Use Cases

  • Three modes: review, challenge, and consult, each with a dedicated evaluation approach (gate, adversarial probe, or prompt-based analysis).
  • Session continuity: preserves context for follow-ups and iterative refinements across interactions.
  • Telemetry & safety controls: supports telemetry configuration and built-in safety checks to govern data handling.

Quick Start

Invoke /codex review to analyze the current diff and generate an independent verdict.

Frequently Asked Questions about codex

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

FAQPage Schema
How do I get an automated AI code review on my current Git diff?

You can get an automated AI code review by invoking the review mode on your current Git diff to generate an independent, brutally honest verdict on the changes.

Can I challenge AI code suggestions through adversarial testing in my repository?

Yes, you can challenge AI code suggestions by switching to the challenge mode, which executes an adversarial probe to test the robustness of prompts and code changes.

Do I need the Codex CLI and a configured Git environment to run automated code reviews?

Yes, you need the codex binary and a configured Git environment to run these automated code reviews, adversarial challenges, and consult prompts across repositories.

What is the best way to maintain context for iterative AI code refinements across sessions?

The best way to maintain context for iterative AI code refinements is to use the built-in session continuity feature, which preserves context across interactions for follow-up prompts.

Are there telemetry and safety controls for automated CLI code reviews?

Yes, the automated CLI code review process includes telemetry configuration and built-in safety checks to govern data handling during the evaluation.

Does the Codex CLI code review tool support consult prompts for prompt-based analysis?

Yes, the Codex CLI code review tool supports consult mode, which performs a dedicated prompt-based analysis alongside the review and adversarial challenge modes.