codex-review

Automate code reviews and CHANGELOG generation via Codex CLI.

115|6|Updated Dec 28, 2025

Search Tags:#automation #software-quality #code-review #CHANGELOG #pull-request #CodexAI

Ready to run

npx skills add https://github.com/jewbetcha/opentrace --skill codex-review-jewbetcha

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates professional code reviews and CHANGELOG generation.

Core Features & Use Cases

Automated Code Review: Quickly assess code quality, identify potential issues, and suggest improvements.
CHANGELOG Generation: Auto-create release notes based on commits and pull requests with conventional messaging.
Use Case: Ideal for pre-commit reviews, large refactors, and ongoing maintenance across software projects.

Quick Start

Install and enable the Codex-powered review:

Run: npx skills add -g BenedictKing/codex-review
Activate with: /codex-review or natural-language triggers to start a review and generate a CHANGELOG.

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 reviews before committing changes?▼

Automated code reviews can be performed before committing changes by activating the review process through natural-language prompts. This assesses code quality, identifies potential issues, and suggests improvements for large refactors and ongoing maintenance.

How do I generate a CHANGELOG automatically from pull requests?▼

Auto-creating a CHANGELOG from pull requests requires conventional commit messaging. The review process extracts commit history and pull request data to automatically generate release notes for software projects.

Does automated code review require a specific environment setup?▼

Automated code review requires a Codex AI integration and a local Codex CLI installation. Once these dependencies are installed globally, you can activate the review using specific commands or natural language.

Can I use automated code review for large refactoring tasks?▼

Automated code review is ideal for large refactoring tasks and ongoing repository maintenance. It quickly assesses code quality across extensive software project changes to identify potential issues and suggest improvements.

What is the best way to trigger an automated code review?▼

The best way to trigger an automated code review is by using the dedicated slash command or natural-language prompts. This initializes the Codex AI integration to assess code quality and generate CHANGELOGs.

Why should I generate CHANGELOGs during code review?▼

Generating CHANGELOGs during code review captures release notes based on commits and pull requests with conventional messaging. This maintains ongoing repository documentation and tracks software quality improvements across project versions.