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Skill Vetter (by Azhua)
作者
Ruei-Ci Wang
· GitHub ↗
· v1.0.0
1798
总下载
0
收藏
13
当前安装
1
版本数
在 OpenClaw 中安装
/install azhua-skill-vetter
功能描述
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope,...
使用说明 (SKILL.md)
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:
# 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
- Official OpenClaw skills → Lower scrutiny (still review)
- High-star repos (1000+) → Moderate scrutiny
- Known authors → Moderate scrutiny
- New/unknown sources → Maximum scrutiny
- 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. 🔒🦀
安全使用建议
This skill is a manual vetting checklist and appears coherent and low-risk. Before using it: (1) confirm you're only inspecting the skill's repository/workspace (do not allow the agent to read unrelated local files like ~/.ssh or ~/.aws); (2) verify the author/repo yourself (stars, history, reviews) as recommended by the checklist; (3) treat the wallet/price in _meta.json as a catalog/payment detail, not a capability; (4) remember this is a guide for humans/agents — it cannot automatically prove a skill is safe. If you want automated checks, combine this checklist with sandboxed static analysis tools and human review for high-risk skills.
功能分析
Type: OpenClaw Skill
Name: azhua-skill-vetter
Version: 1.0.0
The 'skill-vetter' skill is designed to enhance security by vetting other skills. However, it uses `curl` commands in `SKILL.md` to make external network calls to GitHub APIs (e.g., `api.github.com`, `raw.githubusercontent.com`) to fetch repository information and skill content. While these calls are for the stated purpose of vetting, the skill itself lists 'curl/wget to unknown URLs' and 'Sends data to external servers' as 'RED FLAGS' for other skills. This represents a high-risk capability (external network access) that, despite its current benign use, could be a vector for abuse if the skill's logic were different or compromised. No evidence of malicious intent (e.g., data exfiltration, backdoor installation) was found.
能力评估
Purpose & Capability
Name/description match the content: SKILL.md is a human-readable vetting protocol and quick GitHub commands. No unrelated env vars, binaries, or installs are requested. _meta.json contains price and wallet info (expected for a catalog entry) but does not contradict the purpose.
Instruction Scope
Instructions direct the agent/human to inspect all files in a skill repo, run harmless GitHub API curl commands, and look for clear red flags (network exfiltration, credential access, eval/exec, etc.). This is appropriate for vetting, but 'Read ALL files' requires that the vetting actor only access the skill's repository/workspace — do not conflate this with reading unrelated local/system files (e.g., ~/.ssh).
Install Mechanism
No install spec and no code files — instruction-only. Lowest-risk install posture (nothing written to disk by the skill itself).
Credentials
No required environment variables, credentials, or config paths are declared or used. The SKILL.md does not instruct using any secrets or service tokens.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent presence or system modifications. Autonomous invocation is allowed by default on the platform, but this skill's instructions do not require or create elevated privileges.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install azhua-skill-vetter - 安装完成后,直接呼叫该 Skill 的名称或使用
/azhua-skill-vetter触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of skill-vetter: a security-first vetting protocol for AI agent skills.
- Provides a step-by-step guide for vetting skills before installation, focusing on source credibility, code review, permission scope, and risk classification.
- Details red flags to watch for in skill code and mandates immediate rejection criteria.
- Includes a standardized output report format for documenting vetting results.
- Offers quick reference commands for vetting GitHub-hosted skills.
- Establishes a trust hierarchy and best practices for skill installation decisions.
元数据
常见问题
Skill Vetter (by Azhua) 是什么?
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1798 次。
如何安装 Skill Vetter (by Azhua)?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install azhua-skill-vetter」即可一键安装,无需额外配置。
Skill Vetter (by Azhua) 是免费的吗?
是的,Skill Vetter (by Azhua) 完全免费(开源免费),可自由下载、安装和使用。
Skill Vetter (by Azhua) 支持哪些平台?
Skill Vetter (by Azhua) 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Skill Vetter (by Azhua)?
由 Ruei-Ci Wang(@fatfingererr)开发并维护,当前版本 v1.0.0。
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