Skill Vetter (XiaoDing)

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.
1 · 1.5k · 3 current installs · 3 all-time installs
MIT-0
Security Scan
VirusTotalVirusTotal
Pending
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description match the contents: SKILL.md contains a step-by-step vetting protocol and GitHub query examples. There are no unrelated requirements (no env vars, binaries, or install steps).
Instruction Scope
Instructions ask the agent to read the skill's files, check for red flags, and (for GitHub-hosted skills) use GitHub API/raw URLs — all consistent with a vetting tool. The guidance is manual/heuristic and does not instruct reading unrelated system secrets or contacting unexpected endpoints.
Install Mechanism
No install spec and no included code files; nothing is written to disk or downloaded by the skill itself. Lowest-risk installation profile.
Credentials
The skill declares and requires no environment variables, credentials, or config paths. The SKILL.md also does not instruct access to hidden credentials or unrelated environment variables.
Persistence & Privilege
Skill is not always-enabled and uses the platform defaults (agent invocation allowed). There is no instruction to modify other skills or persist credentials.
Assessment
This is a coherent, instruction-only vetter that performs manual checks and GitHub metadata queries — it does not request secrets or install code. Before using it, ensure the agent is only given access to the specific skill repo or files you want vetted (avoid pointing it at broad filesystem paths). Treat its output as an aid, not an automated guarantee: a human review is still recommended for high- or extreme-risk skills. If you plan to let the agent run this vetter autonomously against third-party repos, consider limiting the agent's filesystem/network scope and monitoring the vetter's reports.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.2
Download zip
latestvk97dcjwqrp3zx4hhqa2h032e5d83e22m

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 LevelExamplesAction
🟢 LOWNotes, weather, formattingBasic review, install OK
🟡 MEDIUMFile ops, browser, APIsFull code review required
🔴 HIGHCredentials, trading, systemHuman approval required
⛔ EXTREMESecurity configs, root accessDo 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. 🔒🦀

Files

2 total
Select a file
Select a file to preview.

Comments

Loading comments…