codex-review-workflow

Name: codex-review-workflow
Availability: InStock
Author: daffy0208

Automate code review with OpenAI Codex CLI in Git workflows.

34|7|Updated Oct 22, 2025

Search Tags:#automation #testing #security #validation #codex #quality-assurance #code-review

Ready to run

npx skills add https://github.com/daffy0208/ai-dev-standards --skill codex-review-workflow

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codex-review-workflow
Source: https://github.com/daffy0208/ai-dev-standards/tree/main/SKILLS/codex-review-workflow
Command: npx skills add https://github.com/daffy0208/ai-dev-standards --skill codex-review-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires codex-cli, git.

What problem does it solve?

This Skill eliminates manual code review bottlenecks by automating quality validation through OpenAI Codex CLI, ensuring code meets security and best practice standards.

Core Features & Use Cases

Iterative Review Cycles: Run fix-and-review loops until code passes validation or reaches iteration limits.
Comprehensive Validation: Check for bugs, security vulnerabilities, maintainability issues, and coding best practices.
Use Case: Imagine you've implemented a user authentication system. Use this Skill to automatically identify SQL injection vulnerabilities, password hashing issues, and session management problems.

Quick Start

Use the codex-review-workflow skill to review the file 'auth.py' for security vulnerabilities and bugs.

Frequently Asked Questions about codex-review-workflow

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

FAQPage Schema

How do I automate code review for security vulnerabilities and bugs?▼

Automated code review uses OpenAI Codex CLI to scan your codebase for security vulnerabilities, bugs, and best practice violations in iterative cycles. The Skill runs multiple review passes on your Git repository, flagging issues like SQL injection, weak password handling, and maintainability problems, then tracks fixes across iterations until code passes validation.

Can I use automated code review in my Git workflow?▼

Yes. This Skill integrates directly into Git workflows by operating on your repository and tracked files. It requires Codex CLI on PATH and an initialized Git repository, then automates six-step validation cycles including initial review, issue tracking, iterative fixes, and final status reporting within your existing development process.

What are the prerequisites for setting up automated code review?▼

You need OpenAI Codex CLI installed and available on PATH, an initialized Git repository, and explicit review prompts defining what to validate. The Skill then automates the remaining workflow—no additional setup required beyond these three prerequisites.

How does iterative code review help catch issues other approaches miss?▼

Iterative review runs multiple fix-and-review cycles automatically, allowing the system to validate initial feedback, track corrections, and re-check modified code. This loop catches cascading issues and ensures fixes don't introduce new problems, stopping at iteration limits or when code passes all validation gates.

When should I use automated code review versus manual review?▼

Use automated review for consistent, repeatable validation of security, bugs, and best practices across feature branches and pull requests—particularly when scaling teams or enforcing standards. Manual review remains valuable for architectural decisions and domain-specific logic; this Skill handles the systematic scanning layer.