Trace a request through a codebase
Follow one request from entry point to storage or external boundary with concrete file references.
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.
--- 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.--- 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.
Imported SKILL.md format for Claude Code, Codex and Cursor. Review the complete instructions and required tools before use. Package integrity checked; individual agent behavior has not been tested.