Agent skill

Review

L1 internal review with auto-detection, design comparison, and Gate escalation path

Install Review

skills CLI

$ npx skills add Stanshy/AgentHub --skill review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install Stanshy/AgentHub review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.knowledge/company/skill-templates/review .claude/skills/review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "review" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/review into .claude/skills/review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/review

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Stanshy/AgentHub --skill review -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Stanshy/AgentHub review --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.knowledge/company/skill-templates/review .agents/skills/review && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "review" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/review into .agents/skills/review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Stanshy/AgentHub --skill review -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Stanshy/AgentHub review --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.knowledge/company/skill-templates/review .cursor/skills/review && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "review" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/review into .cursor/skills/review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Stanshy/AgentHub.git --path .knowledge/company/skill-templates/review

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Stanshy/AgentHub --skill review -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Stanshy/AgentHub review --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.knowledge/company/skill-templates/review .gemini/skills/review && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "review" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/review into .gemini/skills/review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Stanshy/AgentHub review

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Stanshy/AgentHub --skill review -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .github/skills && cp -r skills-src/.knowledge/company/skill-templates/review .github/skills/review && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "review" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/review into .github/skills/review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Stanshy/AgentHub --skill review -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Stanshy/AgentHub review --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Stanshy/AgentHub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.knowledge/company/skill-templates/review .opencode/skills/review && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "review" agent skill from https://github.com/Stanshy/AgentHub/tree/main/.knowledge/company/skill-templates/review into .opencode/skills/review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "review", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: review
GitHub stars: 202
Token cost: ~854 tokens
SKILL.md length: 324 words
Files: 1
Skills in repo: 23
Repo updated: Apr 9, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

L1 internal review with auto-detection, design comparison, and Gate escalation path

Works in 4 steps: 讀取 proposal/sprint*-dev-plan.md（最新的開發計畫書） → 找到第 10 節「執行紀錄」中最近完成的任務 → 根據任務類型判斷步驟 → …
Tasks that involve Skill authoring
SKILL.md covers 使用方式, 參數, 步驟自動偵測 and Review Checklist, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review is an agent skill from Stanshy/AgentHub. L1 internal review with auto-detection, design comparison, and Gate escalation path

Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Skill authoring. The repository describes itself as: One person, one software company. Manage 47 AI agents from a single Electron app — with Harness Engineering (Skills + Hooks + FileWatchers) for disciplined, traceable AI workflows. The licence is MIT.

When your agent uses it

Tasks that involve Skill authoring

Example prompts

“/review”

Requirements

Pre-approved tools (allowed-tools): Read, Edit, Glob, Grep, Bash

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

讀取 proposal/sprint*-dev-plan.md（最新的開發計畫書）
找到第 10 節「執行紀錄」中最近完成的任務
根據任務類型判斷步驟
輸出偵測結果，確認後執行

What it can do on your machine

Read from SKILL.md and the folder at commit 5300820. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
- Read
- Edit
- Glob
- Grep
- Bash
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Review loads about 854 tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 324 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~23
When it runs · the whole SKILL.md, loaded when a task matches: ~854

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
```
allowed-tools: Read, Edit, Glob, Grep, Bash
```

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Stanshy/AgentHub at commit 5300820, republished under its MIT licence (© Stanshy). 324 words, ~854 tokens.

Download SKILL.mdSave it as .claude/skills/review/SKILL.md (or your agent's skills folder).

name: review
description: L1 internal review with auto-detection, design comparison, and Gate escalation path
allowed-tools: Read, Edit, Glob, Grep, Bash

L1 內部 Review

執行內部 Review checklist 並記錄到開發計畫書第 10 節。支援自動偵測步驟類型。

使用方式

/review [review-type] [target]

參數

$0: Review 類型（auto / code / spec / design / function）
$ARGUMENTS: 完整參數
若 $0 為 auto 或省略，自動偵測當前步驟

步驟自動偵測

當 review-type 為 auto 或未指定時：

讀取 proposal/sprint*-dev-plan.md（最新的開發計畫書）
找到第 10 節「執行紀錄」中最近完成的任務
根據任務類型判斷步驟：
- 含 design / 架構 / API 設計 → 步驟 = 設計 → Review: 對規範
- 含 mockup / UI / 圖稿 → 步驟 = UI 圖稿 → Review: 對設計稿
- 含 backend / API / route / service → 步驟 = 實作（後端）→ Review: 對程式碼 + 對規範
- 含 frontend / component / view / page → 步驟 = 實作（前端）→ Review: 對程式碼 + 對設計稿 + 對規範
- 含 test / e2e / spec → 步驟 = 測試 → Review: 對功能 + 對規範
- 含 doc / 文件 → 步驟 = 文件 → Review: 對規範
輸出偵測結果，確認後執行

Review Checklist

對程式碼（code）

無 bug 或邏輯錯誤
錯誤處理完整（外部呼叫有 try-catch）
無硬編碼機密資訊
命名有意義且符合規範（snake/camel/Pascal 分層）
無死碼（註解掉的程式碼、未使用的 import）
單一職責原則
TypeScript 型別正確（無 any）
文件已同步更新（.knowledge/ + CLAUDE.md 索引）

對規範（spec）

實作與 API 規範文件一致（api-design.md）
實作與 data model 文件一致（data-model.md）
實作與 feature spec 一致（feature-spec.md）
命名轉換正確（DB snake → API snake → 前端 camel）

對設計稿（design）

佈局結構一致（元件位置、大小、間距）
色彩一致（使用設計稿色系，未自行選色）
動畫一致（時長、easing 與設計稿規格相符）
狀態切換完整（設計稿定義的每個 UI 狀態都已實作）
響應式一致（桌面版和手機版都與設計稿一致）
文案一致（按鈕文字、placeholder、空狀態文案）

L1 比對方式：同時開啟設計稿 HTML/截圖和實際畫面，逐項確認。UI 不一致 = Blocker。

對功能（function）

端到端功能正常
效能達標
驗收標準全部滿足
無 Critical/High 等級 Bug

對文件正確性（doc-integrity）

檢查 dev-plan 和 .tasks/ 檔案的格式與內容一致性。 觸發時機：每次 /review 時自動附加執行，不需手動指定。

dev-plan 檢查

第 10 節存在且包含三個子表格（任務完成紀錄、Review 紀錄、Gate 紀錄）
Gate 紀錄的決策值符合規範（✅ 通過 / ❌ 駁回 / ⚠️ 附條件通過，不可用純文字或英文）
日期格式為 YYYY-MM-DD
第 6 節任務表與 .tasks/ 目錄的任務數量一致

task 文件檢查（逐一掃描 `.tasks/sprint-{N}/*.md`）

metadata 表必要欄位齊全：ID、狀態、Sprint、建立時間、開始時間、完工時間
狀態值為合法英文值（created / assigned / in_progress / in_review / done / blocked / rejected）
事件紀錄區塊（## 事件紀錄）存在且至少有一筆紀錄
事件紀錄 timestamp 格式為 ISO 8601（YYYY-MM-DDTHH:mm:ss.sssZ）
狀態為 done 的任務，驗收標準全部打勾（- [x]，無殘留 - [ ]）
狀態為 in_progress 以上的任務，開始時間 不得為 —
狀態為 done / in_review 的任務，完工時間 不得為 —

執行步驟

偵測或確認 review type（若為 auto 則執行自動偵測）
根據步驟類型選擇 review 組合（可能多種）
自動附加「對文件正確性」檢查 — 每次 review 必定執行 doc-integrity checklist
逐項檢查每個 checklist，標記 ✅ 或 ❌ 並說明
統計結果：
- 🔴 Blocker: {count}
- 🟠 Major: {count}
- 🟡 Minor: {count}
判定：0 Blocker + 0 Major = 通過

結果記錄

在 dev-plan 第 10 節「Review 紀錄」表格，找到對應步驟行並更新：

格式規範（系統解析依賴）

欄位	格式	說明
Review 步驟	自由文字	如「UI 圖稿 Review」「實作 Review」
日期	`YYYY-MM-DD`	如 `2026-03-27`
結果	`通過` 或 `不通過`	嚴格使用這兩個值
Review 文件連結	自由文字	`Blocker:{n} Major:{n} Minor:{n} — {摘要}`

| {步驟名} Review | {YYYY-MM-DD} | {通過/不通過} | Blocker:{n} Major:{n} Minor:{n} — {摘要} |

Gate 升級路徑

Review 通過後，建議下一步：

完成的步驟	建議提交	指令
設計	—	進入下一步驟
UI 圖稿	G1 圖稿審核	/gate-record G1
實作（後端/前端）	G2 程式碼審查	/gate-record G2
測試	G3 測試驗收	/gate-record G3
文件	G4 文件審查	/gate-record G4

提交前確認：前置 Gate 已通過、開發計畫書第 10 節已記錄。

Files

Just SKILL.md in .knowledge/company/skill-templates/review of Stanshy/AgentHub.

Open the folder on GitHubat commit 5300820

Compare with similar skills

Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Review compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
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Questions about Review

What does Review do?

L1 internal review with auto-detection, design comparison, and Gate escalation path. Review is an agent skill from Stanshy/AgentHub.

When should I use Review?

Review fits situations like: tasks that involve Skill authoring.

How do I install Review in Claude Code?

Run `npx skills add Stanshy/AgentHub --skill review -a claude-code`. Or copy the skill folder (.knowledge/company/skill-templates/review in Stanshy/AgentHub) into .claude/skills/review in your project. Claude Code loads it when a task matches its description.

How do I install Review in Codex?

Run `npx skills add Stanshy/AgentHub --skill review -a codex`. Or copy the skill folder (.knowledge/company/skill-templates/review in Stanshy/AgentHub) into .agents/skills/review in your project. Codex loads it when a task matches its description.

Can I use Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Stanshy/AgentHub --skill review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review, .gemini/skills/review, .github/skills/review and .opencode/skills/review in your project.

What does Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Review is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Edit, Glob, Grep, Bash.

Does Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Review safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Review use?

Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Review use?

About 854 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Review?

Skills that share tags, products or a category with Review: Skill Creator (Azure/azqr, 795 stars), Claude Code Skill Developer Guide (diet103/claude-code-infrastructure-showcase, 10k stars), Darwin Skill Optimizer (alchaincyf/darwin-skill, 6.2k stars) and Claude Code Command Development (anthropics/claude-plugins-official, 38k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review?

Stanshy (a GitHub user) maintains it in Stanshy/AgentHub, which has 202 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on April 9, 2026.

Source: Stanshy/AgentHub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Review

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

L1 內部 Review

使用方式

參數

步驟自動偵測

Review Checklist

對程式碼（code）

對規範（spec）

對設計稿（design）

對功能（function）

對文件正確性（doc-integrity）

dev-plan 檢查

task 文件檢查（逐一掃描 .tasks/sprint-{N}/*.md）

執行步驟

結果記錄

格式規範（系統解析依賴）

Gate 升級路徑

Files

Compare with similar skills

Similar skills

More from Stanshy/AgentHub

Related

Questions about Review

task 文件檢查（逐一掃描 `.tasks/sprint-{N}/*.md`）