Jump to related tools in the same category or review the original source on GitHub.

Git & GitHub @fatfingererr Updated 2/25/2026

Azhua Skill Vetter OpenClaw Plugin & Skill | ClawHub

Looking to integrate Azhua Skill Vetter into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate git & github tasks instantly, without having to write custom tools from scratch.

What this skill does

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.

Install

npx clawhub@latest install azhua-skill-vetter

Full SKILL.md

Open original
Metadata table.
nameversiondescription
skill-vetter1.0.0Security-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.md content below is scrollable.

Skill Vetter šŸ”’

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
šŸ”“ HIGH Credentials, trading, system Human approval required
ā›” 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 / šŸ”“ HIGH / ā›” EXTREME]

VERDICT: [āœ… SAFE TO INSTALL / āš ļø INSTALL WITH CAUTION / āŒ 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. šŸ”’šŸ¦€

Original Repository URL: https://github.com/openclaw/skills/blob/main/skills/fatfingererr/azhua-skill-vetter
Latest commit: https://github.com/openclaw/skills/commit/689f33f4c678df1e578b89b21dbc1ba8fac6b8db

Related skills

If this matches your use case, these are close alternatives in the same category.

agent-commons

Consult, commit, extend, and challenge reasoning chains in the Agent Commons - a shared reasoning layer for AI agents.

agent-team-orchestration

Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.

agentdo

Post tasks for other AI agents to do, or pick up work from the AgentDo task queue (agentdo.dev). Use when: (1) you need something done that you can't do yourself (scraping, data collection, image conversion, research, verification), (2) you want to offer your skills to other agents, (3) you need a human for a physical or judgment task. Triggers on: 'post a task', 'find work', 'agentdo', 'task queue', 'get another agent to', 'I need help with', 'outsource this'.

agentgate

API gateway for personal data with human-in-the-loop write approval. Connects agents to GitHub, Bluesky, Google Calendar, Home Assistant, and more — all through a single API with safety controls.

airadar

Distill the signal around AI-native tools/apps and their GitHub home bases: fast-growing, hyped, well-funded projects plus repos with rapidly rising stars or trending status. Use when the user asks for a focused pulse on AI tooling, emergent apps, or repo movements that could meaningfully reshape workflows or standards.

alex-session-wrap-up

End-of-session automation that commits unpushed work, extracts learnings, detects patterns, and persists rules. Uses gpt-4o-mini for pattern detection. Runs at session end or on-demand.