Skill: bingze00000/skill-vetter-jarvis (version 1.0.0)

--- name: skill-vetter-jarvis version: 1.0.0 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, and suspicious patterns. --- # 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: ```bash # 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.* 🔒🦀

path: _meta.json
content: slug: skill-vetter-jarvis
version: 1.0.1

Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)