skillpack-harvest

To migrate local automation skills into a shared deployment workflow, you use an editorial harvest process to genericize triggers, scrub sensitive entities, and validate code conformance for central distribution.

The best way to prevent sensitive data leakage when sharing custom workflow automation is to apply automated privacy linting that detects and blocks internal project names, emails, and proprietary identifiers during the promotion process.

To generalize fork-specific refactoring triggers for an openclaw core bundle, you apply an editorial validation workflow that strips local dependencies and standardizes code structure for organization-wide reuse.

No specific external dependencies are required to validate code conformance, as the harvest process uses built-in structural verification and automated privacy linting to ensure high-quality skill distribution.

You should avoid promoting local automation skills to a centralized gbrain bundle when the skills are not yet mature, contain fork-specific logic that cannot be generalized, or fail automated privacy linting checks.