skill-prescanv1.0.2

A developer finishes writing a SKILL.md for a new skill and wants to verify it will pass ClawHub's automated security review before publishing. They run a local prescan to catch any suspicious or malicious flags early.

A skill previously flagged as suspicious on ClawHub needs rework. The developer uses prescan after each edit to gauge whether changes improve the verdict, saving publish attempts.

A skill received a suspicious verdict but the developer doesn't understand why. Prescan reveals the exact findings (notes and concerns), helping them address overbroad or undisclosed capabilities.

Because the scanner uses LLM temperature, a developer runs the prescan multiple times (e.g., 3 runs) to see if the verdict is stable. If results vary, they adjust documentation to be more explicit and less ambiguous.

A developer tests their SKILL.md against both OpenAI (gpt-5.5) and Anthropic (claude-sonnet-4-6) providers using the prescan script. They note differences in verdict severity and adjust accordingly, knowing the real scanner uses OpenAI with extended reasoning.

The prescan script is open source and free to use, lowering the barrier for developers to self-review before publishing. It reduces support tickets and failed submissions for ClawHub.

Companies integrate the prescan into their continuous integration flow to automatically check every skill commit. This prevents faulty skills from reaching production and ensures compliance.

Consultants use the prescan tool as a diagnostic during workshops on writing safe skills. They help teams understand scanner results and create robust documentation.