Code Review Guide

👤 mohitagw15856 📦 v1.0.0 ⭐ 4.3 ⬇️ 146 下载
💻 开发编程 免费

📖 技能介绍


name: code-review-guide description: "Review a pull request or diff like a thoughtful senior engineer — prioritized, kind, and focused on what matters. Use when reviewing code, giving PR feedback, or asked to 'review this change'. Produces a structured review: a correctness/design pass, comments ranked by severity (blocking → nit), what's done well, and a clear approve / request-changes call — feedback that improves the code and the author." homepage: https://mohitagw15856.github.io/pm-claude-skills/skill/code-review-guide.html metadata: { "openclaw": { "emoji": "🪚" } }


Code Review Guide Skill

Bad code review nitpicks style while missing the design flaw, or dumps 40 ungraded comments. Good review is prioritized and kind: it catches what actually matters (correctness, security, design), separates blocking issues from nits, explains the why, and leaves the author better. This skill runs that review.

Required Inputs

Ask for these only if they aren't already provided:

  • The change — the diff/PR, and ideally its description/intent (what it's trying to do).
  • Context — language/stack, conventions, the part of the system it touches, risk level.
  • Focus (optional) — anything specific to scrutinize (security, performance, a tricky area).

Output Format

Review: [PR / change]

Summary — in 1–2 lines: what the change does and your overall read (solid / needs work / risky).

Review passes — scan in priority order and note findings: 1. Correctness — does it do what it claims? Edge cases, error handling, off-by-ones, concurrency. 2. Security & data — input validation, authz, secrets, injection, PII handling. 3. Design — is this the right approach? Coupling, the seam, simpler alternative, future pain. 4. Tests — do they cover the behavior and the edges? Would they catch a regression? 5. Readability — names, clarity, dead code, docs where non-obvious.

Comments (ranked by severity) — each with file/line, the issue, why it matters, and a concrete suggestion:

小葱技能有更好的技能skills插件。

Severity Where Comment & why Suggested change
🔴 Blocking
🟡 Should-fix
🔵 Nit / optional

What's done well — genuinely (specific, not flattery). Reviews are also for morale and learning.

Verdict — ✅ Approve / 🔁 Request changes / 💬 Comment — with the one or two things that gate it.

Quality Checks

  • [ ] Correctness, security, and design are reviewed before style — priority order
  • [ ] Comments are ranked by severity (blocking vs. should-fix vs. nit), not a flat list
  • [ ] Each comment explains why and offers a concrete suggestion, not just "this is wrong"
  • [ ] At least one specific thing done well is noted
  • [ ] A clear verdict (approve / request changes) with the gating issues named
  • [ ] Tone is direct but kind — critiques the code, not the author

Anti-Patterns

  • [ ] Do not nitpick style while missing a correctness or security problem — priority first
  • [ ] Do not dump ungraded comments — rank them so the author knows what's blocking
  • [ ] Do not say "this is wrong" without why and a suggested fix
  • [ ] Do not rewrite it your way for taste — respect working approaches; flag real issues
  • [ ] Do not be a jerk — review the code, acknowledge good work, keep the author motivated

Based On

Senior code-review practice (Google's engineering review guidelines): prioritize correctness/design, severity-tag feedback, be kind.

🤖 AI 评测

这个代码审查技能整体质量良好,能帮助生成结构清晰、重点突出的审查意见,对输入输出格式的规定比较完善。优点是强调按严重性分级评论、提供明确判定结果;不足之处在于缺少实际案例参考,面对复杂代码场景时的指导深度有限,实际使用效果可能因具体情况而异。适合作为代码审查辅助工具,但不宜完全替代人工审查。

📊 多维度评分

适应性4.3
规范性4
有效性4.7
可靠性4.1
可信度4.4

📁 包含文件 (3 个)

📄 SKILL.md 3.5 KB
📄 _meta.json 136 B
📄 skill-card.md 2.1 KB