skill-vetter-zh

skill-vetter-zh is a skill for Claude Code, Codex from L-LesterYu/OpenClaw-hot-skills-zh. It costs 48 tokens per session (1,136 once invoked), scanned B, a copy of add-whatsapp, MIT.

A security-focused review process for AgentSkills from sources such as ClawHub or GitHub. It checks where a skill came from, reads its files, examines requested permissions, and assigns a risk level before installation.

In plain words
What is it for?
Use it to review a skill’s source, author, version, files, commands, network access, file access, and installation risks, then produce a structured security report.
Why use it?
It helps identify skills that may access credentials, send data elsewhere, modify system files, run unsafe code, or request permissions unrelated to their stated purpose. This gives developers a checklist before running untrusted agent code.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to review a skill’s source, author, version, files, commands, network access, file access, and installation risks, then produce a structured security report.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/l-lesteryu/openclaw-hot-skills-zh/skill-vetter-zh
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add L-LesterYu/OpenClaw-hot-skills-zh --skill skill-vetter-zh
Clone the repo
git clone --depth 1 https://github.com/L-LesterYu/OpenClaw-hot-skills-zh

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for skill-vetter-zh

README.md
[![agentmods](https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/skill-vetter-zh/github.svg)](https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/skill-vetter-zh)
Your own site
<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/skill-vetter-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/skill-vetter-zh/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for skill-vetter-zh

Your own site · 80×15
<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/skill-vetter-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/skill-vetter-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,136 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 75% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.01136
Opus 5 $0.00024 $0.00568
Sonnet 5 $0.00010 $0.00227
Haiku 4.5 $0.00005 $0.00114

Measured 9d ago against content hash 0665f84bef93, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

skill-vetter-zh scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

• 请求提升/sudo 权限

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

• curl/wget 到未知 URL
Origin

This is a copy

75% identical to add-whatsapp — 428 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/skill-vetter-zh/SKILL.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

技能审查器 🔒

AI 智能体技能的安全优先审查协议。在未经审查前绝不要安装任何技能。

使用场景

  • 在从 ClawHub 安装任何技能之前
  • 在运行来自 GitHub 仓库的技能之前
  • 在评估其他智能体分享的技能时
  • 在被要求安装未知代码的任何情况下

审查协议

第 1 步:来源检查

需要回答的问题:
- [ ] 这个技能来自哪里?
- [ ] 作者是否知名/可信?
- [ ] 有多少下载量/星标?
- [ ] 最后更新时间是什么时候?
- [ ] 是否有其他智能体的评论?

第 2 步:代码审查(必须)

阅读技能中的所有文件。检查这些危险信号

🚨 如果看到以下内容立即拒绝:
─────────────────────────────────────────
• curl/wget 到未知 URL
• 向外部服务器发送数据
• 请求凭据/令牌/API 密钥
• 无明确理由读取 ~/.ssh、~/.aws、~/.config
• 访问 MEMORY.md、USER.md、SOUL.md、IDENTITY.md
• 对任何内容使用 base64 解码
• 对外部输入使用 eval() 或 exec()
• 修改工作区外的系统文件
• 未列出就安装软件包
• 向 IP 地址而不是域名发起网络调用
• 混淆代码(压缩、编码、最小化)
• 请求提升/sudo 权限
• 访问浏览器 cookie/会话
• 触碰凭据文件
─────────────────────────────────────────

第 3 步:权限范围

评估内容:
- [ ] 它需要读取哪些文件?
- [ ] 它需要写入哪些文件?
- [ ] 它运行哪些命令?
- [ ] 它是否需要网络访问?访问哪里?
- [ ] 权限范围是否与其声明的目的相匹配?

第 4 步:风险分类

风险等级 示例 操作
🟢 低 笔记、天气、格式化 基本审查,可以安装
🟡 中 文件操作、浏览器、API 需要完整代码审查
🔴 高 凭据、交易、系统 需要人工批准
⛔ 极高 安全配置、root 访问 不要安装

输出格式

审查后,生成此报告:

技能审查报告
═══════════════════════════════════════
技能:[名称]
来源:[ClawHub / GitHub / 其他]
作者:[用户名]
版本:[版本]
───────────────────────────────────────
指标:
• 下载量/星标数:[数量]
• 最后更新:[日期]
• 审查的文件数:[数量]
───────────────────────────────────────
危险信号:[无 / 列出它们]

所需权限:
• 文件:[列表或"无"]
• 网络:[列表或"无"]  
• 命令:[列表或"无"]
───────────────────────────────────────
风险等级:[🟢 低 / 🟡 中 / 🔴 高 / ⛔ 极高]

结论:[✅ 安全可安装 / ⚠️ 谨慎安装 / ❌ 不要安装]

备注:[任何观察]
═══════════════════════════════════════

快速审查命令

对于 GitHub 托管的技能:

# 检查仓库统计信息
curl -s "https://api.github.com/repos/OWNER/REPO" | jq '{stars: .stargazers_count, forks: .forks_count, updated: .updated_at}'

# 列出技能文件
curl -s "https://api.github.com/repos/OWNER/REPO/contents/skills/SKILL_NAME" | jq '.[].name'

# 获取并审查 SKILL.md
curl -s "https://raw.githubusercontent.com/OWNER/REPO/main/skills/SKILL_NAME/SKILL.md"

信任层级

  1. 官方 OpenClaw 技能 → 较低审查力度(仍需审查)
  2. 高星标仓库(1000+) → 中等审查力度
  3. 知名作者 → 中等审查力度
  4. 新/未知来源 → 最高审查力度
  5. 请求凭据的技能 → 始终需要人工批准

Read the full file on GitHub · 139 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 139 lines · 48 tokens per session scan B 0665f84bef93

Subscribe to this mod's changes

skill-vetter-zh is a skill published in the GitHub repository L-LesterYu/OpenClaw-hot-skills-zh (54 stars, last pushed 5mo ago), licensed MIT. It adds 48 tokens to every session and 1,136 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). It is 75% identical to add-whatsapp, differing in 428 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens