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Review, grill, edit, and post pending PR review drafts saved by /review-pr (or its batch/cron runners).
审核/审查 Skill 代码质量的专业工具。当用户说"检查 skill"、"审核 skill"、"review {名称} skill"、"skill 写得怎么样"、"帮我看看这个 skill 有什么问题"时使用。依据 Anthropic 官方指南进行结构验证、YAML 前置信息检查、描述质量评估、指令完整性审查,并输出详细的问题报告和改进建议。
$ npx skills add LeoYeAI/openclaw-master-skills --skill skill-reviewer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills skill-reviewer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-reviewer-2 .claude/skills/skill-reviewer && rm -rf skills-srcUse ~/.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/
Install the "skill-reviewer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-reviewer-2 into .claude/skills/skill-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-reviewer", 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 install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-reviewer-2Type 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.
$ npx skills add LeoYeAI/openclaw-master-skills --skill skill-reviewer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills skill-reviewer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skill-reviewer-2 .agents/skills/skill-reviewer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-reviewer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-reviewer-2 into .agents/skills/skill-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-reviewer", 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.
$ npx skills add LeoYeAI/openclaw-master-skills --skill skill-reviewer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills skill-reviewer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skill-reviewer-2 .cursor/skills/skill-reviewer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "skill-reviewer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-reviewer-2 into .cursor/skills/skill-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-reviewer", 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 https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/skill-reviewer-2--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill skill-reviewer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills skill-reviewer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skill-reviewer-2 .gemini/skills/skill-reviewer && rm -rf skills-srcUse ~/.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/
Install the "skill-reviewer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-reviewer-2 into .gemini/skills/skill-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-reviewer", 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.
$ gh skill install LeoYeAI/openclaw-master-skills skill-reviewerInstalls 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).
$ npx skills add LeoYeAI/openclaw-master-skills --skill skill-reviewer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skill-reviewer-2 .github/skills/skill-reviewer && rm -rf skills-srcUse ~/.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/
Install the "skill-reviewer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-reviewer-2 into .github/skills/skill-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-reviewer", 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.
$ npx skills add LeoYeAI/openclaw-master-skills --skill skill-reviewer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills skill-reviewer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skill-reviewer-2 .opencode/skills/skill-reviewer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "skill-reviewer" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-reviewer-2 into .opencode/skills/skill-reviewer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-reviewer", 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.
skill-reviewer审核/审查 Skill 代码质量的专业工具。当用户说"检查 skill"、"审核 skill"、"review {名称} skill"、"skill 写得怎么样"、"帮我看看这个 skill 有什么问题"时使用。依据 Anthropic 官方指南进行结构验证、YAML 前置信息检查、描述质量评估、指令完整性审查,并输出详细的问题报告和改进建议。
Skill Reviewer is an agent skill from LeoYeAI/openclaw-master-skills. 审核/审查 Skill 代码质量的专业工具。当用户说"检查 skill"、"审核 skill"、"review {名称} skill"、"skill 写得怎么样"、"帮我看看这个 skill 有什么问题"时使用。依据 Anthropic 官方指南进行结构验证、YAML 前置信息检查、描述质量评估、指令完整性审查,并输出详细的问题报告和改进建议。
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `_meta.json`, `references/anthropic-skills-development-guide.md` and `references/checklist.md`).
The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Skill Reviewer loads about 2.3k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 312 words of instructions outside code blocks.
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.
The automated check found no risky patterns in SKILL.md.
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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 312 words, ~2,261 tokens.
.claude/skills/skill-reviewer/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.说明:这是一个Skill审核工具,用于审核其他技能的质量。文档中包含的"错误示例"(如无效 YAML、错误命名等)仅用于教学演示,展示不应该怎么写。不存在任何恶意或混淆代码。
依据 Anthropic 官方 Skills 开发指南,对技能进行全面审核。提供结构化审核框架、评分系统、缺陷检查清单和改进建议。
示例:
ls skills/my-skill/检查SKILL.md是否存在
示例:
head -20 SKILL.md检查 name/description
示例:description 应包含"当用户...时"触发条件
示例:"## 编码和解码" ✅ vs "## 理论" ❌
示例:是否有工作流程、示例、错误处理
示例:每 5-30 行 1 个代码块为最佳密度
示例:5-10 条非显而易见的实用技巧
示例:检查是否按任务组织而非抽象概念
当用户请求审核 skill 时:
严格模式(必须读取完整版官方指南):
当用户表达以下意图时,必须先读取 references/anthropic-skills-development-guide.md 完整版指南:
常规模式:
references/checklist.md(快速检查清单)文件夹结构验证:
[ ] 技能文件夹使用 kebab-case 命名(如 my-skill)
[ ] SKILL.md 存在且命名精确(区分大小写)
[ ] 无 README.md 在技能文件夹内
[ ] 可选文件夹(如存在)命名规范可选文件夹命名规范(如存在):
scripts/ - 全小写复数,无空格/下划线references/ - 全小写复数,无空格/下划线assets/ - 全小写复数,无空格/下划线❌ 错误示例: Scripts、script、scripts_backup、References、refs、Assets、asset_files
示例:检查文件夹结构
# 查看技能文件夹结构
ls -la skills/china-holidays/预期输出:
skills/china-holidays/
├── SKILL.md # ✅ 正确:精确命名
└── references/ # ✅ 正确:全小写复数
└── calendar-guide.md评分:__/4
必填字段验证:
[ ] name 字段存在,kebab-case,无空格大写
[ ] description 字段存在,非空
[ ] YAML 分隔符完整(--- 开头和结尾)
[ ] 无 XML 标签(< >)
[ ] name 不以 claude/anthropic 开头示例:验证 YAML 前置信息
# 读取前 20 行检查 YAML
head -20 skills/china-holidays/SKILL.md预期输出(正确示例):
---
name: china-holidays
description: 获取中国国家法定节假日安排。当用户询问"放假安排"、"节假日"时使用。
---错误示例(应该拒绝):
name: ChinaHolidays # ❌ 大写,应该 kebab-case
name: claude-scheduler # ❌ 以 claude 开头
description: "" # ❌ 空描述
<skill> # ❌ 包含 XML 标签Description 质量评分(满分 8 分):
[2] 开头说明做什么(主动动词)
好:"分析 Figma 设计文件并生成开发者交接文档"
差:"这是关于 Figma 的技能"
[2] 包含触发条件("当用户...时")
好:"当用户上传 .fig 文件或询问设计规格时使用"
差:无触发条件
[2] 具体范围(提及具体工具、操作或场景)
好:"Figma 设计文件、.fig、组件文档、设计交接"
差:"帮助处理项目"
[2] 合理长度(50-200 字符,不超过 1024)
太短:无搜索价值
太长:被截断评分:__/8
按任务/场景组织(而非按抽象概念):
[2] 按任务/操作组织章节
好:"## 编码和解码" → "## 检查字符" → "## 转换格式"
差:"## 理论" → "## 类型" → "## 高级"
[2] 常见操作优先
好:基础用法 → 变体 → 高级 → 边界情况
差:配置说明 → 理论背景 → 最后才是基础用法
[1] 章节自包含(可独立使用)
[1] 深度一致(不混用 h2 与 h4 随机跳转)评分:__/6
必须包含:
[ ] 清晰的工作流程或步骤说明
[ ] 至少一个使用示例
[ ] 错误处理或故障排查指南推荐包含(不扣分):
[ ] 预期输出说明
[ ] 多个场景示例
[ ] 参考文档链接
[ ] "使用场景" 或 "When to Use" 部分评分:__/6
示例密度计算:
总行数:___
代码块数量:___
密度:每 ___ 行 1 个代码块
参考目标:每 5-30 行 1 个代码块
< 5 行/块:可能过于碎片化(短命令集或多命令速查除外)
> 40 行/块:需要更多示例示例密度评分:
[3] 密度在 5-30 行/块范围内
[2] 密度略低(30-40 行/块)或略高(3-5 行/块)
[0] 密度严重不足(>40 行/块)或过高(<3 行/块)每个示例质量评分(0-3 分):
[ ] 语言标签正确(```bash, ```python 等)
[ ] 语法正确,命令可执行
[ ] 展示了预期输出或结果说明
[ ] 使用真实值(非 foo/bar/baz)
[ ] 无占位符(TODO, FIXME, xxx)
[ ] 自包含或有设置说明
0 分:broken 或有误导性
1 分:可用但简陋(无输出/上下文)
2 分:良好(正确,有输出或说明)
3 分:优秀(可直接复制,真实,覆盖边界)示例质量得分 = 所有示例平均分 × 密度分 / 3 = __/9
核心问题:Agent 能否按照这些指令产生正确结果?
[3] 使用祈使句("运行 X"、"创建 Y")
非:"可以考虑..."或"建议..."或"You might..."
[3] 步骤顺序合理(前置条件在行动之前)
[2] 错误处理(说明失败时怎么做)
[2] 输出/结果描述(如何验证成功)评分:__/10
[ ] SKILL.md 控制在 500 行以内
500-600 行:给出提醒,不扣分
超过 600 行:扣分
[ ] 详细文档是否在 `references/` 中
[ ] 大文件(>300 行)有目录或结构说明评分:__/3
技巧部分质量评估:
[2] 5-10 条技巧
少于 5 条:覆盖不足
多于 10 条:可能不够精炼
[2] 技巧非显而易见
好:"Makefile 头号陷阱:缩进必须用 Tab,不能用空格"
差:"确保测试你的代码"
[2] 技巧具体可执行
好:"使用 flock 防止 cron 任务重叠执行"
差:"小心并发执行"
[1] 技巧不矛盾主体内容
[1] 技巧覆盖特定主题的陷阱/踩坑点评分:__/8
仅当 skill 包含 metadata 字段时检查,仅供参考,不计分
[ ] emoji 与技能主题相关
[ ] requires.anyBins 列出技能实际使用的工具(非 generic 如 bash)
[ ] os 数组准确(不包含不支持的平台)
[ ] JSON 格式有效SKILL 审核评分卡
═══════════════════════════════════════
技能名称:{name}
审核者:{agent/human}
日期:{date}
审核模式:{严格/常规}
类别 得分 满分
─────────────────────────────────────
结构检查 __ 4
Description 质量 __ 8
组织评分 __ 6
主体指令 __ 6
示例质量 __ 9
可执行性 __ 10
渐进式披露 __ 3
Tips 评分 __ 8
─────────────────────────────────────
总分 __ 54
转换为百分制:总分 × 1.85 = ___/100
评级:
85+ 优秀 — 可直接发布
70-84 良好 — 需要小改进
50-69 一般 — 需要明显改进
< 50 较差 — 需要重大修改
结论:{PUBLISH / REVISE / REWORK}缺陷:YAML 前置信息无效
检测:YAML 解析错误、缺少必填字段
修复:验证 YAML 格式,确保 name/description 都存在
缺陷:代码示例损坏
检测:语法错误、未定义变量、错误参数
修复:在干净环境中测试每个命令
缺陷:工具要求不匹配(如存在 metadata)
检测:requires 列出内容未在内容中使用
修复:grep 内容提取命令名,更新 requires 匹配
缺陷:误导性描述
检测:描述承诺的内容实际未覆盖
修复:使描述与实际内容一致,或补充缺失内容缺陷:缺少"使用场景"部分
影响:Agent 不知道何时激活技能
修复:添加 4-8 条触发场景说明
缺陷:大段文字无示例
检测:任何超过 10 行无代码块的章节
修复:为每个概念添加具体示例
缺陷:示例缺少语言标签
检测:\`\`\` 后无语言标识符
修复:为每个代码块添加 bash/python/javascript/yaml 等
缺陷:缺少 Tips/技巧部分
影响:缺少使技能有价值的经验总结
修复:添加 5-10 条非显而易见的实用技巧
缺陷:按抽象概念组织
检测:章节名为"理论"、"概述"、"背景"、"介绍"
修复:按任务/操作重组:用户要做什么缺陷:占位符值
检测:foo, bar, baz, example.com, TODO, FIXME
修复:替换为真实值
缺陷:格式不一致
检测:混合标题级别、代码块样式不一致
修复:统一标题层次和格式
缺陷:缺少交叉引用
检测:提到其他技能覆盖的工具/概念但未引用
修复:添加"参见 X 技能了解更多"注释
缺陷:过时的命令
检测:旧语法或已弃用工具
修复:更新为当前工具版本和语法当不需要完整评分时的快速审核:
## 快速审核:{skill-name}
**结构**:[通过/问题:...]
**Description**:[强/弱:原因]
**示例**:[X 个代码块,共 Y 行 — 密度 正常/低/高]
**可执行性**:[Agent 可以/不可以 遵循这些指令,因为...]
**首要缺陷**:[最应该修复的单一问题]
**评分**:__/100
**结论**:[PUBLISH / REVISE / REWORK]# 1. 验证 YAML 前置信息
head -20 skills/my-skill/SKILL.md
# 目视确认 YAML 有效
# 2. 统计代码块数量
grep -c '```' skills/my-skill/SKILL.md
# 总行数除以这个数得密度
# 3. 检查占位符
grep -n -i 'todo\|fixme\|xxx\|foo\|bar\|baz' skills/my-skill/SKILL.md
# 4. 检查缺失语言标签
grep -n '^```$' skills/my-skill/SKILL.md
# 每个代码块都应该有语言标签
# 5. 验证工具要求匹配内容(如存在 metadata)
# 提取 requires,然后 grep 内容检查每个工具
# 6. 测试命令(抽样 3-5 个)
# 在干净 shell 中运行验证
# 7. 运行评分卡
# 目标:良好 35+,优秀 45+示例:完整审核报告输出
## 审核报告:china-holidays
**结构**:✅ 通过 - kebab-case 命名,SKILL.md 存在
**Description**:✅ 强 - 包含触发条件和具体场景
**示例**:18 个代码块,524 行 — 密度 正常 (29 行/块)
**可执行性**:✅ 可以遵循 - 9 步清晰工作流程
**评分总结**:
─────────────────────────────────────
结构检查 4 4
Description 质量 8 8
组织评分 6 6
主体指令 6 6
示例质量 7 9
可执行性 10 10
渐进式披露 3 3
Tips 评分 8 8
─────────────────────────────────────
总分 52 54
百分制:96/100
**结论**:PUBLISH - 可直接发布# 安装技能(如适用)
npx molthub@latest install skill-name
# 阅读内容
cat skills/skill-name/SKILL.md
# 运行快速审核模板
# 如分数 < 25,考虑卸载并寻找替代按使用场景分层:
| 文件 | 用途 | 何时读取 |
|---|---|---|
references/checklist.md | 快速检查清单 | 常规审核流程 |
references/official-guide-summary.md | 精简指南 | 快速查阅常用规范 |
references/anthropic-skills-development-guide.md | 完整版官方指南 | 严格模式下必须读取;常规模式下遇到疑问时查阅 |
严格模式触发条件(满足任一即触发):
审核时先判断模式:严格模式必须先读取完整版指南再进行审核;常规模式按需查阅。
用户说: "帮我审核一下这个 skill,路径在 ./skills/china-holidays"
操作:
./skills/china-holidays/SKILL.md结果: 输出完整审核报告,包含问题列表、修改建议和最终评分
用户说: "这个 skill 准备发布到团队内部使用,需要严格检查,不能有任何问题"
操作:
anthropic-skills-development-guide.md用户说: "这个 skill 的 description 写得怎么样?" + 附上内容
操作:
结果: 指出问题并提供修改建议
Description 最重要 — 它占实际影响力的 40% 以上。完美的 skill 配上糟糕的 description 也不会被找到。
先数代码块 — 少于 8 个代码块的 skill 几乎总是过于抽象而无用。
在干净环境测试 3-5 个命令 — 如超过 1 个失败,说明 skill 发布前未测试。
按任务组织 vs 按概念组织 — 这是最关键的结构质量差异。好技能回答"如何做 X",坏技能解释"X 是什么"。
有好 Tips 但示例弱的 skill,比有好示例但没 Tips 的更有价值 — Tips 编码了示例无法传达的专业知识。
检查 requires 与实际使用是否匹配 — 常见缺陷是列出 bash(所有都有)而不是实际工具如 docker、curl、jq。
过短的 skill(<150 行)通常不值得发布 — 它们提供的价值不如快速网络搜索。如果 skill 太短,可能是更大 skill 的一个章节。
最佳标准:你自己会收藏使用吗 — 如果你自己不会用,就不要发布。
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (references) in skills/skill-reviewer-2 of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Skill Reviewer 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Skill Reviewer this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Review Pending PR Reviewsnrwl/nx | 29k | — | ~3.9k | Automated safety check: Pass | MIT | |
| Reviewthedaviddias/Front-End-Checklist | 74k | — | ~556 | Automated safety check: Pass | MIT | |
| ReviewClickHouse/ClickHouse | 50k | — | ~8k | Automated safety check: Notes | Apache-2.0 | |
| Docling Pull Request Reviewdocling-project/docling | 69k | — | ~1k | Automated safety check: Pass | MIT | |
| Pre-Landing PR Reviewgarrytan/gstack | 136k | — | ~19k | Automated safety check: Notes | MIT |
nrwl/nx
Review, grill, edit, and post pending PR review drafts saved by /review-pr (or its batch/cron runners).
thedaviddias/Front-End-Checklist
A skill your agent uses when applies to product pages, local business pages, recipes, apps, books, and any page that aggregates user reviews.
ClickHouse/ClickHouse
Review a ClickHouse Pull Request for correctness, safety, performance, and compliance.
docling-project/docling
Reviews or re-reviews a Docling pull request in fixed stages, with findings that can be reproduced and an explicit record of every check that was run.
garrytan/gstack
Reviews your diff against the base branch before merge, looking for SQL safety problems, LLM trust boundary violations, conditional side effects and other structural issues.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
审核/审查 Skill 代码质量的专业工具。当用户说"检查 skill"、"审核 skill"、"review {名称} skill"、"skill 写得怎么样"、"帮我看看这个 skill 有什么问题"时使用。依据 Anthropic 官方指南进行结构验证、YAML 前置信息检查、描述质量评估、指令完整性审查,并输出详细的问题报告和改进建议。. Skill Reviewer is an agent skill from LeoYeAI/openclaw-master-skills.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill skill-reviewer -a claude-code`. Or copy the skill folder (skills/skill-reviewer-2 in LeoYeAI/openclaw-master-skills) into .claude/skills/skill-reviewer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill skill-reviewer -a codex`. Or copy the skill folder (skills/skill-reviewer-2 in LeoYeAI/openclaw-master-skills) into .agents/skills/skill-reviewer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill skill-reviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-reviewer, .gemini/skills/skill-reviewer, .github/skills/skill-reviewer and .opencode/skills/skill-reviewer in your project.
Going by SKILL.md and its folder, Skill Reviewer needs the command-line tools its instructions call (npx). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Skill Reviewer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 13k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Skill Reviewer: Review Pending PR Reviews (nrwl/nx, 29k stars), Review (thedaviddias/Front-End-Checklist, 74k stars), Review (ClickHouse/ClickHouse, 50k stars) and Docling Pull Request Review (docling-project/docling, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.