asterisk622

Skill Vetter

AI 智能体v1.0.3
作者:asterisk622更新于 2026-05-11共 3 个版本 · 最新版本发布于 2026-04-08xiaoding-skill-vetter@clawhub_asterisk622/xiaoding-skill-vetter
Agent 框架工具调用#GitHub#Permission

据 AlphaMoat 统计,截至 2026-09,Skill Vetter 累计下载 4,871 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 1,924 位,在「AI 智能体」分类(969 个)中排名第 362 位。

累计安装
130
累计下载
4,871
星标
1
全站排名
#1,924
全站前 38% · 「AI 智能体」前 38%
平台累计安装累计下载星标评论
ClawHub ↗1304,1291-
SkillHub ↗1234,8711—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

该技能提供安全审查清单,要求查看全部文件,检查网络访问、凭据、系统文件修改、依赖安装和权限范围,并形成风险分类报告。审查结论可能错误或误导;采取行动前应复核实际文件和扫描证据。运行示例命令前确认仓库地址,不要把私有 token 或凭据粘贴进审查流程。

资料发布于 2026-10-29

可以用来做什么

  • 需要在安装或运行未知 agent skill 前进行安全审查的开发者与用户。

什么时候用

  • 将报告视作辅助判断而非最终结论;核对文件、扫描证据和权限实际范围,并谨慎执行审查中给出的命令。

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

概述审查 agent skill 时应核对的来源、代码和权限项目;不要运行命令或读取凭据。

月度数据趋势

累计下载4,871
2,0443,5625,0802026-03 · 累计下载 2,2532026-05 · 累计下载 3,0402026-06 · 累计下载 3,5022026-07 · 累计下载 3,8222026-08 · 累计下载 4,1482026-09 · 累计下载 4,87126-0326-09
星标1
0122026-03 · 星标 12026-05 · 星标 12026-06 · 星标 12026-07 · 星标 12026-08 · 星标 12026-09 · 星标 126-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-094,871—1
2026-084,148+8.5%1
2026-073,822+9.1%1
2026-063,502+15.2%1
2026-053,040—1
2026-032,253—1

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

4.5 KB · ClawHub v1.0.3
---
name: skill-vetter
version: 1.0.0
description: Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
---

# Skill Vetter 🔒

Security-first vetting protocol for AI agent skills. **Never install a skill without vetting it first.**
展开全部(共 139 行)
## When to Use

- Before installing any skill from ClawdHub
- Before running skills from GitHub repos
- When evaluating skills shared by other agents
- Anytime you're asked to install unknown code

## Vetting Protocol

### Step 1: Source Check

```
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?
```

### Step 2: Code Review (MANDATORY)

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
─────────────────────────────────────────
```

### Step 3: Permission Scope

```
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?
```

### Step 4: Risk Classification

| 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 |

## Output Format

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]
═══════════════════════════════════════
```

## Quick Vet Commands

For GitHub-hosted skills:
```bash
# 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"
```

## Trust Hierarchy

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

## Remember

- No skill is worth compromising security
- When in doubt, don't install
- Ask your human for high-risk decisions
- Document what you vet for future reference

---

*Paranoia is a feature.* 🔒🦀

「AI 智能体」分类下的热门技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。