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cs995279497-byte

Chen Skill Vetter

by cs995279497-byte · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
490
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0
Stars
4
Active Installs
1
Versions
Install in OpenClaw
/install chen-skill-vetter
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,...
README (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

  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. 🔒🦀

Usage Guidance
This skill is a straightforward vetting checklist and appears coherent and appropriate to install. A few practical notes before proceeding: (1) the vetter expects the agent or human to read the target skill's files — avoid granting it broader filesystem access or network privileges beyond read-only access to the skill repository you want reviewed; (2) the GitHub curl examples are unauthenticated and can hit rate limits — provide credentials only if you understand the trade-offs; (3) an automated vetter cannot fully replace human review for high-risk skills (credentials, root-level actions, network exfiltration) — use this as a structured aid and require human approval for medium/high/extreme risk cases.
Capability Analysis
Type: OpenClaw Skill Name: chen-skill-vetter Version: 1.0.0 The 'chen-skill-vetter' skill is a security-focused tool designed to guide an AI agent through a vetting protocol for other skills. It contains no executable code other than standard GitHub API 'curl' commands used for auditing repository metadata and file contents, and its instructions (SKILL.md) promote defensive security practices and risk assessment.
Capability Assessment
Purpose & Capability
Name and description claim a vetting/checklist tool; the skill contains only prose instructions and example commands for inspecting repos and skill files. No binaries, env vars, installs, or weird requirements are declared — all are appropriate for a vetter.
Instruction Scope
SKILL.md instructs the agent to read the skill's files, check explicit red flags, review permission scope, and produce a structured report. It includes safe GitHub API curl examples. It does not instruct the agent to read unrelated system secrets; it explicitly flags reading ~/.ssh, ~/.aws, credential files, or exfiltration as REJECT conditions.
Install Mechanism
No install spec or code files are present (instruction-only). Nothing will be downloaded or written to disk by the skill itself.
Credentials
The skill declares no environment variables, no credentials, and no config path requirements. Its example commands use unauthenticated GitHub API calls only; this is proportional to its purpose.
Persistence & Privilege
always is false and there are no instructions to modify agent/system configuration or other skills. disable-model-invocation is false (normal); this combination is appropriate for a user-invocable vetter.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install chen-skill-vetter
  3. After installation, invoke the skill by name or use /chen-skill-vetter
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Introduces a security-first vetting protocol for AI agent skills. - Provides step-by-step vetting procedures, including source checks, code review, permission scope, and risk classification. - Defines clear red flags to reject risky skills immediately. - Includes a standardized output report template for vetting results. - Offers quick vetting commands for GitHub repositories. - Establishes a trust hierarchy and best practices for skill installation decisions.
Metadata
Slug chen-skill-vetter
Version 1.0.0
License MIT-0
All-time Installs 5
Active Installs 4
Total Versions 1
Frequently Asked Questions

What is Chen 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,... It is an AI Agent Skill for Claude Code / OpenClaw, with 490 downloads so far.

How do I install Chen Skill Vetter?

Run "/install chen-skill-vetter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Chen Skill Vetter free?

Yes, Chen Skill Vetter is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Chen Skill Vetter support?

Chen Skill Vetter is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Chen Skill Vetter?

It is built and maintained by cs995279497-byte (@cs995279497-byte); the current version is v1.0.0.

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