Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope,...
MIT-0 · Free to use, modify, and redistribute. No attribution required.
⭐ 0 · 61 · 0 current installs · 0 all-time installs
duplicate of @fedrov2025/skill-vetter-1-0-0
MIT-0
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description claim to vet skills; SKILL.md only contains guidance and commands to fetch and inspect skill repos (e.g., GitHub API curl examples). It does not request unrelated credentials, binaries, or installs — this is proportionate for a vetting tool.
Instruction Scope
Instructions require reading all files of the target skill and optionally making network calls to GitHub (via curl examples). That is appropriate for vetting, but it assumes the agent has permission to fetch remote repos and to read the skill package being evaluated. The instructions do not tell the agent to read unrelated host secrets itself; they only flag those paths as items to check in target skills.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes installation risk because nothing is written to disk by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. The checklist mentions sensitive paths as red flags for target skills, but does not request access to them for itself.
Persistence & Privilege
always is false and default autonomy is unchanged. The skill does not request persistent/system-wide changes or elevated privileges.
Assessment
This skill is a coherent, conservative vetting checklist and safe as an instruction-only helper. Before using it, ensure the agent has only the minimum permissions needed to fetch and inspect candidate skill repositories (network access and read access to the skill package). Remember: vetting a skill via these checks does not sandbox or prevent a vetted skill from later performing malicious actions at runtime — for higher-risk skills manually review code, prefer running them in isolated sandboxes, verify releases/tags on authoritative repos, and require human approval for any skill that requests credentials or system access.Like a lobster shell, security has layers — review code before you run it.
Current versionv1.0.0
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
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. 🔒🦀
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