Skill Vetter 1.0.0v1.0.0

A developer discovers a new skill on ClawdHub that promises to automate file organization. Before installing, they run Skill Vetter to inspect source reputation, review all code files for red flags, and assess whether the skill requests unnecessary credentials or network access. This prevents a potentially malicious install and documents the vetting decision for future reference.

An AI operations team wants to adopt shared skills from an open-source GitHub repository. They use Skill Vetter's quick vet commands to pull repository stats, list skill files, and fetch SKILL.md for review. The team applies the risk classification table to decide which skills need human approval before deployment.

In a multi-agent environment, an agent receives a skill package from an unknown peer agent. It applies Skill Vetter to check for obfuscated code, base64 decoding, and accesses to sensitive files like MEMORY.md or ~/.ssh. The agent either rejects the skill or escalates to a human based on the vetting report.

A platform operator integrates Skill Vetter as a mandatory gateway for all skills uploaded to their agent marketplace. Every submission is automatically scanned for red flags like curl to unknown URLs, eval with external input, and credential requests. Skills that fail are blocked or flagged for manual review, protecting end users from malicious packages.

A fintech company requires all AI agent skills to undergo a documented security review before use. The compliance team uses Skill Vetter to produce standardized vetting reports that capture source, permissions, risk level, and verdict. These reports are stored as audit evidence for regulators and internal security policies.

Skill Vetter is distributed freely as an open-source skill, building trust and community adoption. The maintainers offer paid enterprise support, including custom red-flag rulesets, integration assistance, and priority updates. Revenue comes from support contracts and consulting services.

A cloud service wraps Skill Vetter's logic into an API and dashboard that automatically scans skills from marketplaces, GitHub, and other sources. Teams pay a monthly subscription based on the number of skills vetted and users. The platform provides audit logs, alerts, and compliance reports.

Skill Vetter is licensed as a module within a broader AI security suite sold to large organizations. It integrates with existing SIEM and CI/CD pipelines to enforce vetting policies before skill deployment. Licensing is annual per-seat or per-node, with premium features like custom risk scoring.