據 AlphaMoat 統計,截至 2026-09,Skill Vetter 1 累計下載 1,512 次、獲 0 個星標,在全部 5,078 個 AI 技能中排名第 4,760 位,在「運維安全」分類(264 個)中排名第 258 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 33 | 1243 | - | - |
| SkillHub ↗ | 103 | 1512 | - | — |
各平台的計數口徑不同,統計時間不一致。
它建議核查來源和維護資訊、審閱全部程式碼、檢查許可權範圍及可疑行為,並按風險分類形成審查結論。文件還列出可聯網獲取倉庫資料或原始檔的命令;靜態評估時不應自動執行這些命令,審查結果也應明確證據範圍和未驗證事項。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 1512 | — | - |
| 2026-08 | 1240 | +11.4% | - |
| 2026-07 | 1113 | — | - |
| 2026-05 | 794 | — | - |
| 2026-03 | 500 | — | - |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。
--- 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.**
## 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.* 🔒🦀
在使用技能包之前做安全掃描,並按結論決定放行或攔截的技能。
為 OpenClaw 配置 OpenRouter 免費模型與回退鏈的工具。
備份與恢復 OpenClaw 配置、憑據與工作區的技能。
設定並使用 1Password CLI 處理金鑰。
一款被描述為可偵測提示注入與危險命令的 OpenClaw 安全外掛。
遠端控制 tmux 會話,向互動式命令列傳送按鍵並抓取輸出。
以應用安全工程師視角做程式碼與架構的安全審計。
管理騰訊雲物件儲存與資料永珍的技能。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。