Publish Skillv0.4.1

A security team at a large enterprise needs to approve AI agent skills for employee use. They run the scanner against every skill package before allowing installation into the corporate environment. This prevents credential theft and data exfiltration from untrusted marketplace skills.

A skill marketplace or registry wants to protect its users by scanning uploaded packages automatically. They integrate the wrapper into their CI pipeline to flag malicious patterns before a skill is published. This reduces takedowns and builds platform trust.

A solo developer installs many community skills and wants a quick local safety check. They run a single-command review on any downloaded skill package and inspect the risk rating summary. This catches suspicious patterns without needing a full security stack.

Banks and healthcare companies must prove due diligence on third-party AI tooling. The scanner produces markdown reports that feed into compliance documentation and audit trails. Optional enterprise upload sends findings to the organization's security dashboard.

When a malicious skill is suspected in production, the response team scans the affected package and related directory in batch mode. Findings help determine data exfiltration scope and affected credentials. Results are exported for forensic records.

Distribute the wrapper and native engine for free to drive adoption, then monetize the optional enterprise reporting backend and external engine bridge. Teams pay for centralized dashboards, alerting, and cross-skill analytics.

Offer a hosted scanning-as-a-service where customers upload skill packages to a controlled endpoint and receive risk reports. The wrapper's user-controlled --upload-url fits naturally as the client of this service.

Security firms use the tool as the technical backbone while selling human review, remediation guidance, and compliance certification for skill publishers and enterprises. The open license makes it easy to embed in service engagements.