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fatfingererr

Skill Vetter (by Azhua)

by Ruei-Ci Wang · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
1798
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0
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13
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Install in OpenClaw
/install azhua-skill-vetter
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,...
README (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

  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. 🔒🦀

Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install azhua-skill-vetter
  3. After installation, invoke the skill by name or use /azhua-skill-vetter
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug azhua-skill-vetter
Version 1.0.0
License
All-time Installs 14
Active Installs 13
Total Versions 1
Frequently Asked Questions

What is Skill Vetter (by Azhua)?

Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope,... It is an AI Agent Skill for Claude Code / OpenClaw, with 1798 downloads so far.

How do I install Skill Vetter (by Azhua)?

Run "/install azhua-skill-vetter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Skill Vetter (by Azhua) free?

Yes, Skill Vetter (by Azhua) is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Skill Vetter (by Azhua) support?

Skill Vetter (by Azhua) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Skill Vetter (by Azhua)?

It is built and maintained by Ruei-Ci Wang (@fatfingererr); the current version is v1.0.0.

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