codex

Orchestrate Codex CLI evaluations for code review, challenge, and consult flows.

Updated Mar 21, 2026
One-click install
npx skills add https://github.com/TimHL5/carousel --skill codex-timhl5
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/TimHL5/carousel/tree/main/.claude/skills/gstack/codex
Command: npx skills add https://github.com/TimHL5/carousel --skill codex-timhl5

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Codex tasks and code reviews can be fragmented across tools. This wrapper unifies three modes (review, challenge, consult) behind a single CLI to produce consistent, actionable AI feedback for code changes.

Core Features & Use Cases

  • Independent code review: run a diff gate against changes to validate quality.
  • Adversarial challenge: stress-test code by asking Codex to try to break it.
  • Conversational consult: ask Codex questions with session continuity for follow-ups.

Quick Start

Install the Codex CLI and run codex review, codex challenge, or codex consult to begin.

Frequently Asked Questions about codex

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

FAQPage Schema
How do I automate code review with AI feedback for my code changes?

Adversarial code review works by asking Codex to try to break your code changes during an automated challenge flow. This stress-tests your code changes against an AI to identify vulnerabilities before deployment.

Can I maintain session continuity when asking Codex questions about my code?

You can use the consult mode for conversational AI consultation on code changes with session continuity. It enables follow-up questions and returns session data for contextual code analysis.

Do I need a Codex CLI installed to run adversarial code challenges?

Yes, you need a Codex CLI installed to run adversarial code challenges and other review flows. This wrapper requires the Codex CLI to orchestrate independent evaluations and return gate-style outputs.

What is the best way to unify fragmented code review tasks across different tools?

To handle fragmented code review tasks, use a CLI wrapper that unifies review, adversarial challenge, and consult modes. This approach produces consistent, actionable AI feedback for code changes.

What are the limitations of using a CLI wrapper for AI code review?

A key limitation is that this CLI wrapper depends entirely on having the Codex CLI installed to function. Without the underlying CLI installed, the orchestration of independent evaluations and session data cannot operate.