Chen Skill Vetterv1.0.0

An AI agent is asked to install a new skill from a low-star GitHub repository. The agent uses the Skill Vetter to check the source reputation, review code for red flags, and assess permissions before deciding to install.

In a marketplace like ClawdHub, agents share skills. Before installing a skill shared by another agent, the Skill Vetter runs a full security check, including code review and risk classification, to prevent malicious skills from spreading.

A skill requests access to ~/.ssh and ~/.aws directories. The Skill Vetter flags this as a HIGH risk, requiring human approval, and prevents automatic installation, thus protecting sensitive credentials.

A DevOps team integrates AI agents into CI/CD. Before deploying a skill that automates infrastructure changes, the Skill Vetter checks for network calls to unknown IPs and commands that modify system files, ensuring pipeline security.

A financial AI agent considers installing a skill that claims to optimize trades. The Skill Vetter scans for obfuscated code and network calls, and classifies it as HIGH risk, triggering manual review to prevent financial loss.

Offer automated skill vetting as a subscription service for platforms like ClawdHub, ensuring all skills uploaded pass security checks. Revenue comes from platform licensing fees per skill vetted.

Provide an API endpoint that enterprises integrate into their internal AI agent workflows to vet skills automatically. Revenue is generated via usage-based pricing per API call.

For skills classified as HIGH or EXTREME risk, offer a human-in-the-loop auditing service where security experts perform deep code reviews. Revenue comes from per-skill audit fees.