privacy-scrub

What problem does it solve?

Knowledge entries contributed to the shared brain risk exposing personally identifiable information about source projects, users, or organizations, making them unsafe for reuse by other teams and violating the framework's privacy requirements.

Core Features & Use Cases

• Mandatory Scrub Categories: Defines clear rules for stripping identifiers, file paths, code references, and dataset metadata from knowledge entries.
• Verification Protocol: Provides a step-by-step checklist for reviewer agents to confirm PII removal before contribution.
• CI Alignment: Matches automated PII scanning rules used in the brain-seedbank repository's validation workflow.
• Use Case: When a distiller agent extracts reusable knowledge from a statistical package development workflow, this skill ensures all project-specific identifying information is genericized before the entry is proposed for the shared brain.

Quick Start

Use the privacy-scrub skill to genericize all identifying information in the extracted knowledge entry before proposing it for contribution to the shared brain.