Agent skill · software engineering · sickn33

codex-review

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.

Why this skill is useful

Adds automated CHANGELOG generation and professional code review processes that are not standard practices in AI training data.

What it needs

Requires codex installed locally. About 1k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.

What this skill does

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 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 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.

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills sickn33/codex-review

View the source on GitHub

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