面向AI代理的安全优先技能审查。在从ClawdHub、GitHub或其他来源安装任何技能前使用。该工具将检查潜在风险、权限范围及可疑模式。
将以下命令发送给 AI 助手,AI 将获取安装索引后完成安装:
curl …/skills/skill-vetter/download,然后按照返回的 Markdown 文件清单完成 skill-vetter 的安装Security-first vetting protocol for AI agent skills. Never install a skill without vetting it first.
Questions to answer:
- [ ] Where did this skill come from?
- [ ] Is the author known/reputable?
- [ ] How many downloads/stars does it have?
- [ ] When was it last updated?
- [ ] Are there reviews from other agents?Read ALL files in the skill. Check for these RED FLAGS:
🚨 REJECT IMMEDIATELY IF YOU SEE:
─────────────────────────────────────────
• curl/wget to unknown URLs
• Sends data to external servers
• Requests credentials/tokens/API keys
• Reads ~/.ssh, ~/.aws, ~/.config without clear reason
• Accesses MEMORY.md, USER.md, SOUL.md, IDENTITY.md
• Uses base64 decode on anything
• Uses eval() or exec() with external input
• Modifies system files outside workspace
• Installs packages without listing them
• Network calls to IPs instead of domains
• Obfuscated code (compressed, encoded, minified)
• Requests elevated/sudo permissions
• Accesses browser cookies/sessions
• Touches credential files
─────────────────────────────────────────Evaluate:
- [ ] What files does it need to read?
- [ ] What files does it need to write?
- [ ] What commands does it run?
- [ ] Does it need network access? To where?
- [ ] Is the scope minimal for its stated purpose?| Risk Level | Examples | Action |
|------------|----------|--------|
| 🟢 LOW | Notes, weather, formatting | Basic review, install OK |
| 🟡 MEDIUM | File ops, browser, APIs | Full code review required |
| 🔴 HIGH | Credentials, trading, system | Human approval required |
| ⛔ EXTREME | Security configs, root access | Do NOT install |
After vetting, produce this report:
SKILL VETTING REPORT
═══════════════════════════════════════
Skill: [name]
Source: [ClawdHub / GitHub / other]
Author: [username]
Version: [version]
───────────────────────────────────────
METRICS:
• Downloads/Stars: [count]
• Last Updated: [date]
• Files Reviewed: [count]
───────────────────────────────────────
RED FLAGS: [None / List them]
PERMISSIONS NEEDED:
• Files: [list or "None"]
• Network: [list or "None"]
• Commands: [list or "None"]
───────────────────────────────────────
RISK LEVEL: [🟢 LOW / 🟡 MEDIUM / 🔴 HIGH / ⛔ EXTREME]
VERDICT: [✅ SAFE TO INSTALL / ⚠️ INSTALL WITH CAUTION / ❌ DO NOT INSTALL]
NOTES: [Any observations]
═══════════════════════════════════════For GitHub-hosted skills:
# Check repo stats
curl -s "https://api.github.com/repos/OWNER/REPO" | jq '{stars: .stargazers_count, forks: .forks_count, updated: .updated_at}'
# List skill files
curl -s "https://api.github.com/repos/OWNER/REPO/contents/skills/SKILL_NAME" | jq '.[].name'
# Fetch and review SKILL.md
curl -s "https://raw.githubusercontent.com/OWNER/REPO/main/skills/SKILL_NAME/SKILL.md"1. Official OpenClaw skills → Lower scrutiny (still review)
2. High-star repos (1000+) → Moderate scrutiny
3. Known authors → Moderate scrutiny
4. New/unknown sources → Maximum scrutiny
5. Skills requesting credentials → Human approval always
---
Paranoia is a feature. 🔒🦀
在进行任何创造性工作(如创建功能、构建组件、添加功能或修改行为)之前,先探究用户意图、需求和设计。它强制你在动手写代码之前先做设计。它的核心理念是:任何项目,不管多简单,都必须先经过设计讨论,获得你认可后才能开始实现。整个过程分几步:先了解项目上下文,看看文件、文档、最近的提交。然后一个一个问题问清楚,搞明白目的、约束和成功标准。 接下来提出 2-3 个方案,说明各自的优缺点,给出你的推荐理由。 最后呈现设计,按模块逐步展示,每个模块确认没问题再往下走。设计通过后,写一份设计文档保存到 docs/plans/ 目录,然后才能调用实现相关的 Skill。 有个硬性规定:在用户批准设计之前,禁止调用任何实现类 Skill,禁止写代码,禁止搭建项目。 听起来有点繁琐,但实际上能避免很多返工。很多时候我们觉得简单的项目,做着做着就发现各种问题,还不如一开始就把事情想清楚。
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.