Skill Vetter

v1.0.0

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.

973· 223k·4.1k current·4.2k all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for spclaudehome/skill-vetter.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Skill Vetter" (spclaudehome/skill-vetter) from ClawHub.
Skill page: https://clawhub.ai/spclaudehome/skill-vetter
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Canonical install target

openclaw skills install spclaudehome/skill-vetter

ClawHub CLI

Package manager switcher

npx clawhub@latest install skill-vetter
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name and description (skill vetting) match the SKILL.md: it provides a checklist and commands to inspect repos and files. It does not request unrelated credentials, binaries, or installs.
Instruction Scope
Instructions direct the agent to read and review all files of a candidate skill and to run GitHub API/raw content queries for GitHub-hosted skills. This is appropriate for vetting, but the instructions assume the agent may perform network calls and full file reads — ensure the agent is authorized to access those repos and that you intend that level of access.
Install Mechanism
No install spec and no code files — lowest-risk model. The provided quick-commands use curl/jq against GitHub; those are reasonable for repo inspection and do not introduce installation-time downloads or extracted archives.
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate to a vetting/checklist skill.
Persistence & Privilege
always is false and model invocation is allowed (platform default). The skill does not request persistent system presence or attempt to modify other skills or system-wide settings.
Assessment
This is a coherent, low-risk instruction-only vetting skill: it contains a sensible checklist and GitHub query examples and does not ask for secrets or installs. Before using it, remember: (1) vetting requires the agent to read candidate skill files and may perform network calls — confirm you want those permissions; (2) the checklist helps detect obvious red flags but does not guarantee detection of cleverly obfuscated or time-delayed malicious code, so for high-risk skills perform a human code review; (3) run the quick curl commands from a controlled environment (no privileged credentials in the shell) and avoid pasting sensitive tokens into outputs. If you want stronger guarantees, require manual human approval for skills classified as MEDIUM+ or that request any credentials.

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

latestvk978d3cmths4ddks45veag5yq5809mez
223kdownloads
973stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

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. 🔒🦀

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