clawvet

Analyze OpenClaw skills with a six-pass pipeline to identify threats and quality issues.

11|4|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/MohibShaikh/clawvet --skill clawvet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clawvet
Source: https://github.com/MohibShaikh/clawvet/tree/main
Command: npx skills add https://github.com/MohibShaikh/clawvet --skill clawvet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

ClawVet identifies and mitigates threats in OpenClaw skills by running a comprehensive six-pass analysis pipeline before installation, ensuring skills are safe and well-formed.

Core Features & Use Cases

  • Six-pass analysis: Skill Parser, Static Analysis, Metadata Validator, Dependency Checker, Typosquat Detector, and Semantic Analysis to catch RCE, credential theft, typosquats, and social-engineering patterns.
  • Frontmatter validation and content inspection to ensure meaningful name, description, and version metadata, with helpful remediation guidance.
  • Risk scoring and actionable recommendations (block, warn, or approve) to guide CI/CD and installation decisions.

Quick Start

Scan a local SKILL.md or skill folder to receive a structured risk report and suggested actions.

Frequently Asked Questions about clawvet

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

FAQPage Schema
How do I scan an OpenClaw skill for security threats before installing it?

Scanning an OpenClaw skill for security threats involves running a six-pass analysis pipeline on a local SKILL.md file or skill folder. The pipeline parses YAML frontmatter, checks dependencies, and detects typosquats to produce a risk score, grade, and recommended installation action.

What types of vulnerabilities can static analysis detect in skill metadata?

Static analysis of skill metadata detects RCE, credential theft, typosquats, and social-engineering patterns. It validates YAML frontmatter fields like name, description, and version to ensure skills are well-formed and free from malicious code blocks or suspicious domains.

How does typosquat detection work for OpenClaw skills?

Typosquat detection for OpenClaw skills works by extracting and analyzing domains, IPs, and URLs from skill content during the semantic analysis pipeline. It identifies closely mimicked package names to block supply-chain attacks and social-engineering attempts.

Can I integrate skill security checks into my CI/CD pipeline?

You can integrate skill security checks into CI/CD pipelines by scanning local SKILL.md content or skill folders. The analysis outputs a structured risk report with a grade and actionable recommendations like block, warn, or approve to guide automated installation decisions.

What does the risk score and grade indicate when analyzing skill folders?

The risk score and grade indicate the overall safety and quality level of an analyzed skill folder. They summarize findings from the six-pass analysis pipeline, providing detailed remediation guidance and a recommended action to block, warn, or approve the skill installation.

Do I need any external dependencies to run supply-chain analysis on SKILL.md files?

No external dependencies are required to run supply-chain analysis on SKILL.md files. The tool operates independently to parse YAML frontmatter, extract code blocks, and perform metadata validation without relying on external packages or libraries.