skill-vetter

Assess AI agent skill packages for security risks and produce a structured vetting report.

Updated May 4, 2026
One-click install
npx skills add https://github.com/234194027-cpu/xianclaw --skill skill-vetter-234194027-cpu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-vetter
Source: https://github.com/234194027-cpu/xianclaw/tree/main/resources/openclaw/config/skills/skill-vetter
Command: npx skills add https://github.com/234194027-cpu/xianclaw --skill skill-vetter-234194027-cpu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents unsafe or malicious AI agent skill packages from being installed by enforcing a security-first review process before execution.

Core Features & Use Cases

  • Source vetting: Checks where a skill comes from and whether the author and repository reputation are credible.
  • Mandatory code review: Screens skill files for red-flag behaviors like credential access attempts, obfuscation, suspicious network activity, and unsafe system modifications.
  • Permission scoping and risk classification: Evaluates required file/network/command permissions, then assigns a risk level with an explicit go/no-go verdict.
  • Use case: Before installing a newly shared skill from GitHub or ClawdHub, run the vetting checklist to decide whether to install safely, install with caution, or refuse pending human approval.

Quick Start

Ask the agent to run the Skill Vetter on a skill directory you want to install and output a full vetting report with a risk verdict.

Frequently Asked Questions about skill-vetter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I check if an AI agent skill from GitHub is safe to install?

To check if an AI agent skill is safe to install, perform a security vetting process that assesses package provenance, scans code for credential access attempts, and evaluates requested permission scopes. This produces a structured report with a clear go or no-go installation verdict.

What is security vetting for AI agent skills?

Security vetting for AI agent skills is a review process that screens packages for malicious behaviors like obfuscation and suspicious network activity. It evaluates author reputation, analyzes permission requests, and assigns a risk classification to determine if installation is safe.

How do I perform a code review for a ClawdHub skill package?

Perform a mandatory code review on the ClawdHub skill package by inspecting its files for red flags like unsafe system modifications and credential access. Combine this content review with a permission scope evaluation to generate a vetting report with an explicit installation verdict.

Does skill vetting check for credential safety and network access risks?

Yes, skill vetting checks for credential safety and network access risks by screening skill files for red-flag behaviors. It specifically looks for credential access attempts, obfuscation, and suspicious network activity, then evaluates required file and command permissions to classify overall risk.

What permissions should I review before installing an external AI agent skill?

Before installing an external AI agent skill, review its requested file, network, and command permissions. Evaluating this permission scope is a mandatory part of the vetting process, allowing you to determine if the access level is justified or poses a security risk.

When should I refuse to install an AI agent skill package?

You should refuse to install an AI agent skill package when the vetting report identifies severe red flags like obfuscation or unauthorized credential access. If the permission scope is excessive or the author reputation is not credible, decline the installation pending human approval.