Skill Auditv0.1.0

A platform hosting third-party AI skills or plugins for download and integration. Before allowing a new plugin to be listed, the marketplace uses Skill Audit to run a static safety audit on the plugin's repository, ensuring it meets security standards without executing potentially harmful code. This prevents malicious plugins from being distributed to users.

A corporate team developing AI agents that integrate external skills from public repositories. They use Skill Audit to assess the safety of third-party skills before installation, reducing the risk of vulnerabilities or compliance issues in their production environment. This helps maintain security and trust in their AI systems.

A university lab experimenting with various AI skills for academic projects. Researchers use Skill Audit to evaluate repositories for safety before incorporating them into experiments, ensuring no hidden malware or unethical code is present. This supports safe and reproducible research practices.

An organization's CI/CD pipeline that automates security checks for AI skill deployments. Skill Audit is integrated to scan repository changes before merging or deploying, providing evidence-backed findings for pre-install screening. This enhances security automation and reduces manual review overhead.

Offer Skill Audit as a cloud-based service where users upload repository URLs for automated safety audits. Charge subscription fees based on scan volume or features, targeting developers and enterprises needing pre-install security checks. Revenue comes from monthly or annual licenses.

Sell customized licenses of Skill Audit to large organizations for internal use, integrating it into their AI development workflows. Provide support, updates, and training as part of the package. Revenue is generated through one-time purchases or annual enterprise contracts.

Partner with AI plugin marketplaces to embed Skill Audit as a mandatory safety check for all listed skills. Earn revenue through partnership agreements, transaction fees, or per-scan charges. This model leverages existing platforms to reach a broad user base.