codex-review

Review code and implementation plans with OpenAI Codex CLI.

1|1|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/agmangas/agent-skills --skill codex-review-agmangas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codex-review
Source: https://github.com/agmangas/agent-skills/tree/main/skills/codex-review
Command: npx skills add https://github.com/agmangas/agent-skills --skill codex-review-agmangas

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enhances code and plan reviews by using AI, providing a second opinion and speeding up decision-making processes.

Core Features & Use Cases

  • Code Review: Send code changes to AI for review, ensuring quality and compliance.
  • Plan Review: Submit implementation plans for analysis, getting expert feedback.
  • Iterative Refinement: Revise and resubmit for iterative reviews until approved.

Quick Start

Use the codex-review skill to review your latest code changes and get expert feedback.

Frequently Asked Questions about codex-review

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

FAQPage Schema
How do I get AI assistance for code review on my latest changes?

AI assistance for code review is obtained by sending code changes to the AI, which analyzes them to ensure quality and compliance. You submit your code to receive expert insights and iterative feedback until the changes are approved.

Can I use AI to review implementation plans before starting development?

Yes, you can submit implementation plans for AI review to get expert feedback before development. The AI analyzes the submitted plans, providing insights that help streamline project planning and improve decision-making processes.

Do I need OpenAI Codex CLI and Python to run AI-assisted code reviews?

Yes, you need both OpenAI Codex CLI and Python to run AI-assisted code reviews. The OpenAI Codex CLI executes the AI analysis, while Python handles the session management required for the iterative review process.

What is the best way to handle iterative refinement after an AI plan review?

The best way to handle iterative refinement after an AI plan review is to revise the plan based on the feedback and resubmit it. This cycle of submitting, receiving expert insights, and revising continues until the AI approves the plan.

How does AI code review compare to manual project planning reviews?

AI code review acts as an automated second opinion, speeding up decision-making by providing immediate expert insights. Unlike manual reviews, it allows for rapid iterative refinement without waiting for human availability, streamlining the overall project workflow.