code-reviewer
High-signal code review workflow for pull requests and patches: correctness, readability, API/UX, performance, security, and maintainability. Use when reviewing diffs/PRs, writing review comments, proposing fixes, or producing a structured review report with actionable follow-ups.
Best use case
code-reviewer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
High-signal code review workflow for pull requests and patches: correctness, readability, API/UX, performance, security, and maintainability. Use when reviewing diffs/PRs, writing review comments, proposing fixes, or producing a structured review report with actionable follow-ups.
Teams using code-reviewer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/code-reviewer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How code-reviewer Compares
| Feature / Agent | code-reviewer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
High-signal code review workflow for pull requests and patches: correctness, readability, API/UX, performance, security, and maintainability. Use when reviewing diffs/PRs, writing review comments, proposing fixes, or producing a structured review report with actionable follow-ups.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Code Reviewer Give reviews that help the author ship safely and quickly. ## Quick Start 1) Understand intent: what’s the user-facing / system-facing change and why? 2) Review in this order: - Correctness (edge cases, invariants, error handling) - Safety (security + data handling + secrets) - Maintainability (structure, naming, interfaces) - Performance (hot paths, I/O, allocations, DB queries) - Tests (do they fail before the fix? do they cover the right behavior?) 3) Leave comments that are: - **Actionable** (what to change) + **why** (risk/benefit) + **scope** (must vs nice-to-have) ## Large diff triage (use when the change is big) - Start with the entrypoints and high-risk files (auth, payments, data writes). - Identify invariants the change must preserve, then hunt for violations. - Skim for mechanical changes and collapse them; focus deep review on behavioral deltas. ## When to request changes - Bugs or correctness issues that can ship user-impacting failures. - Security/privacy regressions or data handling gaps. - Missing or inadequate tests for new behavior or fixed bugs. ## Output format (recommended) - **Summary**: what the change does - **Major issues**: must-fix items (blockers) - **Minor suggestions**: improvements / nits - **Test plan**: how to validate locally/CI - **Follow-ups**: tickets/cleanup that shouldn’t block merge ## Optional tool: generate a review report from git diff From the repo you’re reviewing: ```bash python ~/.codex/skills/code-reviewer/scripts/review_diff.py --base origin/main --out /tmp/review.md ``` ## References - Review checklist and comment style: `references/review-checklist.md`
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