What problem does it solve? Healthcare applications handle sensitive patient and clinician data that must comply with regulations like HIPAA, DISHA, and GDPR. This Skill provides concrete patterns to prevent PHI/PII leaks through error messages, logs, URLs, browser storage, and misconfigured access control. ## Core Features & Use Cases - Data Classification: Defines what counts as PHI (patient names, IDs, diagnoses, lab results) versus PII (staff salaries, doctor payouts) so teams know what to protect. - Row-Level Security & Audit Trails: Provides SQL policies for facility-scoped access, tamper-proof insert-only audit logs, and schema-level PHI column tagging. - Leak Vector Prevention: Covers common exposure points including error messages, console logging, URL parameters, browser storage, and service role keys, plus a pre-deployment checklist. - Use Case: When building a multi-facility hospital API, apply the RLS policies so a doctor at Facility A cannot query Facility B patients, and log every record access with opaque UUIDs instead of medical record numbers. ## Quick Start Review my patient records API code and database schema for PHI leaks and apply the appropriate RLS policies and audit logging patterns.