codex-review

Savant verdict: Review advised

Security analysis or source-hub review identified patterns requiring attention.

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Security assessment

Scan pending.

Structure

• No license declaredConfirm you may reuse this skill before importing it into your repository.
• The source hub's security checks flagged this skillGen Agent Trust Hub: warn (This skill facilitates professional code reviews and automated changelog generation but introduces security risks by requiring installation from an untrusted external repository. The installation process involves downloading and executing unverified code from a third-party source. Additionally, the skill's primary function of processing external source code creates a surface for indirect prompt injection attacks.); Socket: warn (1 alert: gptSecurity)

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. Install the skill using the command above
2. Ensure Codex CLI is installed
3. Use `/codex-review` or natural language triggers

## 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
- 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.