prepublish-privacy-scrub

To redact API keys and secrets before publishing, this skill scans all target directory artifacts, identifies sensitive patterns, and returns scrubbed copies with the data removed. A verification checklist ensures no residual sensitive data remains.

Data scrubbing for pre-publish checks is the process of scanning repository artifacts to identify and redact tokens, personal data, and secrets, ensuring sensitive information is removed before publication.

Yes, you can use this privacy scrub skill to remove personal data across an entire repository, as its scope explicitly covers all skill artifacts within the target directory during pre-publish checks.

Yes, the skill verifies that no residual sensitive data remains after redaction by enforcing a verification checklist step following the initial pattern scanning and data scrubbing processes.

The best way to automate secret redaction in a CI pipeline is to run this skill against the target directory, which applies pattern scanning and returns scrubbed files ready for publication.