Skill Reviewv1.0.2

A community manager for an open-source AI project wants to vet skill contributions before merging them. This scanner automates detection of prompt injection, credential theft, and malicious dependencies in contributed skill packages, ensuring only safe code is merged.

A security team at a large enterprise evaluates third-party skills for internal AI assistants used by employees. The scanner provides a risk score and recommendation, enabling the team to block high-risk skills that could exfiltrate sensitive corporate data.

A DevOps engineer integrates this scanner into a CI/CD pipeline to automatically scan skill packages before deployment. If a package scores 'high' or 'critical', the pipeline fails, preventing risky skills from reaching production.

A skill marketplace operator uses the scanner to pre-screen all submitted skills for security issues before listing them. This ensures a baseline of trust and safety for marketplace users, reducing the risk of malicious listings.

An individual developer considering installing a community-shared skill runs the scanner to quickly assess its safety. The clear risk level and recommendation help the developer make an informed decision without manual code review.

Offer the scanner as a hosted API or web service where users submit skill packages for analysis. Monetize via subscription tiers: free (basic pre-scan), pro (full analysis), and enterprise (CI/CD integration, custom rules).

Release the scanner as open-source (MIT/Apache) to build community adoption and trust. Generate revenue by selling commercial licenses for advanced features (deep analysis, custom reporting) and consulting/services for integration.

Partner with AI skill marketplaces to embed the scanner as a mandatory pre-listing check. Charge the marketplace a per-scan fee or a commission on each skill listed, providing a steady revenue stream from high-volume scanning.