codex-review

Automate code reviews with OpenAI Codex CLI and GPT-5.2-Codex models.

705|56|Updated Dec 26, 2025

Search Tags:#automation #ci/cd #code review #security #codex #ai

Ready to run

npx skills add https://github.com/alinaqi/claude-bootstrap --skill codex-review-alinaqi

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates code reviews, identifying bugs, security vulnerabilities, and quality issues using specialized AI models, streamlining the development process.

Core Features & Use Cases

Automated Code Analysis: Leverages OpenAI Codex to scan code for common and critical issues.
CI/CD Integration: Seamlessly integrates into GitHub Actions, GitLab CI, and Jenkins pipelines.
Use Case: Before merging a pull request, automatically run Codex to flag potential SQL injection vulnerabilities and suggest fixes, ensuring code quality and security.

Quick Start

Use the codex-review skill to review the staged changes for bugs and security issues.

Frequently Asked Questions about codex-review

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

FAQPage Schema

How do I automate code review for security vulnerabilities in a pull request?▼

Automated code review for pull requests uses OpenAI Codex to scan staged changes, detecting bugs and security vulnerabilities like SQL injection before merging. It provides structured JSON output detailing the findings and suggested fixes.

Can I run AI code analysis headless in a CI/CD pipeline?▼

AI code analysis supports headless execution for CI/CD pipelines, integrating seamlessly into GitHub Actions, GitLab CI, and Jenkins. This allows automated bug detection and quality assessment to run continuously during development workflows.

What is the best way to scan code for bugs and security issues before merging?▼

The best way to scan code before merging is using specialized AI models like GPT-5.2-Codex. It automatically assesses code quality, flags critical issues, and suggests fixes, ensuring robust security and quality standards are met.

Does automated code review output structured data for CI/CD integration?▼

Automated code review provides structured JSON output for findings, facilitating easy parsing and integration within CI/CD environments. This structured format allows development workflows to programmatically handle bug and vulnerability reports.

How do I integrate Codex into GitHub Actions for code quality assessment?▼

Integrating Codex into GitHub Actions involves configuring headless execution to trigger automated code quality assessments. It scans changes for bugs and security vulnerabilities, providing structured JSON findings directly within the pipeline.