codex

Name: codex
Availability: InStock
Author: antoniocascais

Automate peer review of code changes with OpenAI Codex CLI.

11|2|Updated Oct 1, 2025

Search Tags:#architecture #cli #codex #ai #code-review #peer-review

Ready to run

npx skills add https://github.com/antoniocascais/claude-code-toolkit --skill codex-antoniocascais

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codex
Source: https://github.com/antoniocascais/claude-code-toolkit/tree/main/skills/codex
Command: npx skills add https://github.com/antoniocascais/claude-code-toolkit --skill codex-antoniocascais

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates peer review of code changes using OpenAI Codex CLI to improve quality, consistency, and decision transparency.

Core Features & Use Cases

Codex-assisted Review: Leverages Codex CLI to analyze diffs, suggest improvements, and document rationale.
Architecture & Trade-offs: Evaluates design choices and highlights risks and alternatives.
Iterative Review Loop: Supports a structured review process with up to three Codex iterations to reach a clear consensus.

Quick Start

Run codex CLI against your current changes to start a peer review: codex exec review --uncommitted "Review changes in the working tree focusing on quality, architecture, and trade-offs."

Frequently Asked Questions about codex

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

FAQPage Schema

How do I automate peer review for code changes and architectural decisions?▼

Automate peer review for code changes by running Codex CLI against your working tree to analyze diffs, propose alternative approaches, and document rationale. This structured review loop evaluates quality, architecture, and trade-offs.

Can I use Codex CLI to evaluate significant diffs and refactoring risks?▼

Yes, you can use Codex CLI to evaluate significant diffs and refactoring risks. The review process flags potential issues in your code changes and highlights architectural trade-offs through up to three iterative review rounds.

What's the best way to document rationale for architectural trade-offs during a code review?▼

Document rationale for architectural trade-offs by running a structured 3-round review loop with Codex CLI. This ensures thorough analysis by proposing alternative approaches and documenting the reasoning behind code decisions.

Do I need Codex CLI access to perform an iterative AI code review?▼

Yes, you need Codex CLI access to perform an iterative AI code review. The workflow also requires defined review prompts to execute the structured 3-round loop that analyzes uncommitted changes.

How does the 3-round review loop work for analyzing code changes?▼

The 3-round review loop works by iteratively applying Codex CLI to your uncommitted changes. It repeatedly analyzes diffs, flags potential issues, and proposes alternative approaches to reach a clear consensus on architectural decisions.

When should I avoid using AI for peer review of code decisions?▼

Avoid using AI for peer review of code decisions if your changes do not involve significant diffs, architectural decisions, or refactors. The structured review loop is designed for evaluating complex trade-offs rather than minor updates.