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Codex Review

ASecurity

Professional code review with auto CHANGELOG generation, integrated with Codex AI. Use when you want professional code review before commits, you need automatic CHANGELOG generation, or reviewing large-scale refactoring.

  • 8 stars
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  • Added November 7, 2026
developmentbashtestingrefactoringgit

Works with

  • cli

Security analysis

A100/100

Scanned November 7, 2026

npx -y skills add huytran1120/vietnam-agentic-skills --skill codex-review --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: codex-review
description: "Professional code review with auto CHANGELOG generation, integrated with Codex AI. Use when you want professional code review before commits, you need automatic CHANGELOG generation, or reviewing large-scale refactoring."
risk: critical
source: community
date_added: "2026-02-27"
---

# codex-review

## Overview
Professional code review with auto CHANGELOG generation, integrated with Codex AI

## When to Use
- When you want professional code review before commits
- When you need automatic CHANGELOG generation
- When reviewing large-scale refactoring

## Installation
```bash
npx skills add -g BenedictKing/codex-review
```

## Step-by-Step Guide
1. This entrypoint does not bundle the upstream integration. Inspect a selected upstream revision and authorize installation scope before using the installation option above.
2. Ensure Codex CLI is installed
3. Use `/codex-review` only when the installed host exposes it. Pin repository/base/head and inspect the net diff directly; return findings with exact trigger, location and evidence. A generated CHANGELOG must match the actual diff and must not rewrite unrelated release history.

## Examples
See [GitHub Repository](https://github.com/BenedictKing/codex-review) for examples.

## Best Practices
- Keep CHANGELOG.md in your project root
- Use conventional commit messages

## Troubleshooting
See the GitHub repository for troubleshooting guides.

## Related Skills
- context7-auto-research, tavily-web, exa-search, firecrawl-scraper

## Limitations
- An automated reviewer is advisory, not merge approval. Confirm provider/data/cost scope before sending private source externally; no implicit commit, push or publication.
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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