Security Auditv0.1.0

A platform hosting community-contributed AI skill packages uses this tool to automatically scan new submissions for potential supply-chain attacks before approval. It helps maintain trust by flagging skills that attempt unauthorized data exfiltration or access sensitive files, ensuring only safe skills are published.

A company integrating third-party AI skills into its internal systems runs this audit on all skill files during procurement. It identifies risks like hidden network calls or credential access, allowing security teams to vet skills for compliance with data protection policies before deployment.

In a university setting, students learning to create AI skills use this tool to self-audit their projects for best practices. It teaches security awareness by highlighting risky patterns in their code, such as improper file reads or external communications, fostering safe development habits.

A freelance developer auditing client-provided AI skill packages for vulnerabilities employs this tool to quickly generate risk reports. It streamlines the review process by detecting exfiltration attempts and permission issues, enabling efficient delivery of security assessments to clients.

A DevOps team incorporates this audit into their CI/CD pipeline to automatically scan skill files during builds. It prevents deployment of skills with supply-chain risks, such as unauthorized domain calls, by failing builds or generating alerts for high-risk findings.

Offer a basic version of the audit tool for free to attract users, with premium features like detailed analytics, API access, or integration with popular platforms available via subscription. This model leverages widespread adoption in open-source communities to drive paid upgrades for advanced needs.

Provide tailored security audit services based on the tool, including custom rule development, integration support, and training workshops. This model targets organizations needing specialized security assessments or help adapting the tool to their specific AI ecosystems.

Sell licenses to large companies for internal use, including features like batch processing, compliance reporting, and dedicated support. This model capitalizes on the tool's ability to enhance corporate security postures by vetting AI skills across departments.