code-review
mattpocock/skills · Agent Skill
自動檢查程式碼變更是否符合標準和規格,並與指定的固定點進行比較。
前往安裝 ↓總覽
| 發布者 | |
|---|---|
| 儲存庫 | mattpocock/skills ↗ |
| 技能資料夾 | code-review |
| 星 | 256,360 |
| 附帶檔案 | 1 |
| 授權 | MIT |
| 最近更新 | 2026年8月18日 |
| 連結 | 技能原始碼 ↗ · 儲存庫 ↗ |
Mozgi 檢查
我們在技能檔案中發現的內容。詳細資訊需訂閱。
安裝
技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。
把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。
Install the “code-review” skill from mozgi.io (https://mozgi.io/skills/code-review/) for me. 1. Download the archive: https://mozgi.io/skills/code-review/download If it fails, take the skill folder from the source: https://github.com/mattpocock/skills/tree/main/skills/engineering/code-review 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “code-review” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/code-review/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch main https://github.com/mattpocock/skills.git /tmp/skills mkdir -p .claude/skills cp -r /tmp/skills/skills/engineering/code-review .claude/skills/code-review
重新啟動 Claude Code — 技能就會出現在清單中,手動呼叫:/code-review。要套用到所有專案,請放在 ~/.claude/skills。
git clone --depth 1 --branch main https://github.com/mattpocock/skills.git /tmp/skills mkdir -p .agents/skills cp -r /tmp/skills/skills/engineering/code-review .agents/skills/code-review
Codex 會從目前資料夾往上到儲存庫根目錄,在 .agents/skills 中尋找技能;用 /skills 或 $code-review 呼叫。所有專案:~/.agents/skills。
git clone --depth 1 --branch main https://github.com/mattpocock/skills.git /tmp/skills mkdir -p .cursor/skills cp -r /tmp/skills/skills/engineering/code-review .cursor/skills/code-review
Cursor 啟動時會載入技能;在 Agent 聊天輸入「/」呼叫。Cursor 也會讀取 .claude/skills 與 .agents/skills。所有專案:~/.cursor/skills。
git clone --depth 1 --branch main https://github.com/mattpocock/skills.git /tmp/skills mkdir -p .gemini/skills cp -r /tmp/skills/skills/engineering/code-review .gemini/skills/code-review
任務符合時,Gemini CLI 會提議啟用技能,由你確認。所有專案:~/.gemini/skills。
安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。
SKILL.md 內容
作者原文 · 唯讀Two-axis review of the diff between HEAD and a fixed point the user supplies:
- Standards: does the code conform to this repo's documented coding standards?
- Spec: does the code faithfully implement the originating issue / spec?
Both axes run as parallel sub-agents so they don't pollute each other's context, then this skill aggregates their findings.
The issue tracker should have been provided to you. If docs/agents/issue-tracker.md is missing, tell the user to run /setup-matt-pocock-skills.
Process
1. Pin the fixed point
Whatever the user said is the fixed point (a commit SHA, branch name, tag, main, HEAD~5, etc.). If they didn't specify one, ask for it.
Capture the diff command once: git diff <fixed-point>...HEAD (three-dot, so the comparison is against the merge-base). Also note the list of commits via git log <fixed-point>..HEAD --oneline.
Before going further, confirm the fixed point resolves (git rev-parse <fixed-point>) and the diff is non-empty. A bad ref or empty diff should fail here, not inside two parallel sub-agents.
2. Identify the spec source
Look for the originating spec, in this order:
1. Issue references in the commit messages (#123, Closes #45, GitLab !67, etc.), fetched via the workflow in docs/agents/issue-tracker.md.
2. A path the user passed as an argument.
3. A spec file under docs/, specs/, or .scratch/ matching the branch name or feature.
4. If nothing is found, ask the user where the spec is. If they say there isn't one, the Spec sub-agent will skip and report "no spec available".
3. Identify the standards sources
Anything in the repo that documents how code should be written, such as CODING_STANDARDS.md or CONTRIBUTING.md.
On top of whatever the repo documents, the Standards axis always carries the smell baseline below: a fixed set of Fowler code smells (_Refactoring_, ch.3) that applies even when a repo documents nothing. Two rules bind it:
- The repo overrides. A documented repo standard always wins; where it endorses something the baseline would flag, suppress the smell.
- Always a judgement call. Each smell is a labelled heuristic ("possible Feature Envy"), never a hard violation. Like any standard here, skip anything tooling already enforces.
Each smell reads *what it is* → *how to fix*; match it against the diff:
- Mysterious Name: a function, variable, or type whose name doesn't reveal what it does or holds. → rename it; if no honest name comes, the design's murky.
- Duplicated Code: the same logic shape appears in more than one hunk or file in the change. → extract the shared shape, call it from both.
- Feature Envy: a method that reaches into another object's data more than its own. → move the method onto the data it envies.
- Data Clumps: the same few fields or params keep travelling together (a type wanting to be born). → bundle them into one type, pass that.
- Primitive Obsession: a primitive or string standing in for a domain concept that deserves its own type. → give the concept its own small type.
- Repeated Switches: the same
switch/if-cascade on the same type recurs across the change. → replace with polymorphism, or one map both sites share. - Shotgun Surgery: one logical change forces scattered edits across many files in the diff. → gather what changes together into one module.
- Divergent Change: one file or module is edited for several unrelated reasons. → split so each module changes for one reason.
- Speculative Generality: abstraction, parameters, or hooks added for needs the spec doesn't have. → delete it; inline back until a real need shows.
- Message Chains: long
a.b().c().d()navigation the caller shouldn't depend on. → hide the walk behind one method on the first object. - Middle Man: a class or function that mostly just delegates onward. → cut it, call the real target direct.
- Refused Bequest: a subclass or implementer that ignores or overrides most of what it inherits. → drop the inheritance, use composition.
4. Spawn both sub-agents in parallel
Standards sub-agent prompt should include:
- The full diff command and commit list.
- The list of standards-source files you found in step 3, plus the smell baseline from step 3 pasted in full (the sub-agent has no other access to it).
- The brief: "Report, per file/hunk where relevant, (a) every place the diff violates a documented standard: cite the standard (file + the rule); and (b) any baseline smell you spot: name it and quote the hunk. Distinguish hard violations from judgement calls: documented-standard breaches can be hard, but baseline smells are always judgement calls, and a documented repo standard overrides the baseline. Skip anything tooling enforces. Under 400 words."
Spec sub-agent prompt should include:
- The diff command and commit list.
- The path or fetched contents of the spec.
- The brief: "Report: (a) requirements the spec asked for that are missing or partial; (b) behaviour in the diff that wasn't asked for (scope creep); (c) requirements that look implemented but where the implementation looks wrong. Quote the spec line for each finding. Under 400 words."
If the spec is missing, skip the Spec sub-agent and note this in the final report.
5. Aggregate
Present the two reports under ## Standards and ## Spec headings, verbatim or lightly cleaned. Do not merge or rerank findings, because the two axes are deliberately separate (see _Why two axes_).
End with a one-line summary: total findings per axis, and the worst issue _within each axis_ (if any). Don't pick a single winner across axes: that's the reranking the separation exists to prevent.
Why two axes
A change can pass one axis and fail the other:
- Code that follows every standard but implements the wrong thing → Standards pass, Spec fail.
- Code that does exactly what the issue asked but breaks the project's conventions → Spec pass, Standards fail.
Reporting them separately stops one axis from masking the other.
常見問題
code-review 技能有什麼用途?
自動檢查程式碼變更是否符合標準和規格,並與指定的固定點進行比較。
如何安裝 code-review?
打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。
code-review 適用哪些 AI 模型?
技能是純 Markdown 指示(Agent Skills 格式),因此 code-review 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。
code-review 是免費的嗎?
此技能由 mattpocock 公開發布,採用 MIT 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。
安裝技能安全嗎?
技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。
技能和 MCP 伺服器或外掛有何不同?
MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。