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affaan-m/ECC/skills/healthcare-phi-compliance/SKILL.md

healthcare-phi-compliance

Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.

Source repository stars
234,327
Declared platforms
0
Static risk flags
0
Last source update
2026-07-27
Source checked
2026-07-28

Decision brief

What it does—and where it fits

Patterns for protecting patient data, clinician data, and financial data in healthcare applications. Applicable to HIPAA (US), DISHA (India), GDPR (EU), and general healthcare data protection.

Best for

  • Building any feature that touches patient records
  • Implementing access control or authentication for clinical systems
  • Designing database schemas for healthcare data

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/affaan-m/ECC --skill "skills/healthcare-phi-compliance"
Safe inspection promptEditorial

Inspect the Agent Skill "healthcare-phi-compliance" from https://github.com/affaan-m/ECC/blob/4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38/skills/healthcare-phi-compliance/SKILL.md at commit 4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    When to Use

    Building any feature that touches patient records

    Building any feature that touches patient recordsImplementing access control or authentication for clinical systemsDesigning database schemas for healthcare data
  2. 02

    How It Works

    Healthcare data protection operates on three layers: classification (what is sensitive), access control (who can see it), and audit (who did see it).

    No PHI in error messages or stack tracesNo PHI in console.log/console.errorNo PHI in URL parameters
  3. 03

    Data Classification

    PHI (Protected Health Information) — any data that can identify a patient AND relates to their health: patient name, date of birth, address, phone, email, national ID numbers (SSN, Aadhaar, NHS number), medical record numbers, diagnoses, medications, lab results, imaging, insura…

    PHI (Protected Health Information) — any data that can identify a patient AND relates to their health: patient name, date of birth, address, phone, email, national ID numbers (SSN, Aadhaar, NHS number), medical record n…PII (Non-patient-sensitive data) in healthcare systems: clinician/staff personal details, doctor fee structures and payout amounts, employee salary and bank details, vendor payment information.
  4. 04

    Access Control: Row-Level Security

    Review the “Access Control: Row-Level Security” section in the pinned source before continuing.

    Review and apply the “Access Control: Row-Level Security” source section.
  5. 05

    Audit Trail

    Every PHI access or modification must be logged:

    Every PHI access or modification must be logged:

Permission review

Static risk signals and limitations

No configured static risk pattern was detected

This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score83/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars234,327SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
affaan-m/ECC
Skill path
skills/healthcare-phi-compliance/SKILL.md
Commit
4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38
License
MIT
Collected
2026-07-28
Default branch
main
View the original SKILL.md

Healthcare PHI/PII Compliance Patterns

Patterns for protecting patient data, clinician data, and financial data in healthcare applications. Applicable to HIPAA (US), DISHA (India), GDPR (EU), and general healthcare data protection.

When to Use

  • Building any feature that touches patient records
  • Implementing access control or authentication for clinical systems
  • Designing database schemas for healthcare data
  • Building APIs that return patient or clinician data
  • Implementing audit trails or logging
  • Reviewing code for data exposure vulnerabilities
  • Setting up Row-Level Security (RLS) for multi-tenant healthcare systems

How It Works

Healthcare data protection operates on three layers: classification (what is sensitive), access control (who can see it), and audit (who did see it).

Data Classification

PHI (Protected Health Information) — any data that can identify a patient AND relates to their health: patient name, date of birth, address, phone, email, national ID numbers (SSN, Aadhaar, NHS number), medical record numbers, diagnoses, medications, lab results, imaging, insurance policy and claim details, appointment and admission records, or any combination of the above.

PII (Non-patient-sensitive data) in healthcare systems: clinician/staff personal details, doctor fee structures and payout amounts, employee salary and bank details, vendor payment information.

Access Control: Row-Level Security

ALTER TABLE patients ENABLE ROW LEVEL SECURITY;

-- Scope access by facility
CREATE POLICY "staff_read_own_facility"
  ON patients FOR SELECT TO authenticated
  USING (facility_id IN (
    SELECT facility_id FROM staff_assignments
    WHERE user_id = auth.uid() AND role IN ('doctor','nurse','lab_tech','admin')
  ));

-- Audit log: insert-only (tamper-proof)
CREATE POLICY "audit_insert_only" ON audit_log FOR INSERT
  TO authenticated WITH CHECK (user_id = auth.uid());
CREATE POLICY "audit_no_modify" ON audit_log FOR UPDATE USING (false);
CREATE POLICY "audit_no_delete" ON audit_log FOR DELETE USING (false);

Audit Trail

Every PHI access or modification must be logged:

interface AuditEntry {
  timestamp: string;
  user_id: string;
  patient_id: string;
  action: 'create' | 'read' | 'update' | 'delete' | 'print' | 'export';
  resource_type: string;
  resource_id: string;
  changes?: { before: object; after: object };
  ip_address: string;
  session_id: string;
}

Common Leak Vectors

Error messages: Never include patient-identifying data in error messages thrown to the client. Log details server-side only.

Console output: Never log full patient objects. Use opaque internal record IDs (UUIDs) — not medical record numbers, national IDs, or names.

URL parameters: Never put patient-identifying data in query strings or path segments that could appear in logs or browser history. Use opaque UUIDs only.

Browser storage: Never store PHI in localStorage or sessionStorage. Keep PHI in memory only, fetch on demand.

Service role keys: Never use the service_role key in client-side code. Always use the anon/publishable key and let RLS enforce access.

Logs and monitoring: Never log full patient records. Use opaque record IDs only (not medical record numbers). Sanitize stack traces before sending to error tracking services.

Database Schema Tagging

Mark PHI/PII columns at the schema level:

COMMENT ON COLUMN patients.name IS 'PHI: patient_name';
COMMENT ON COLUMN patients.dob IS 'PHI: date_of_birth';
COMMENT ON COLUMN patients.aadhaar IS 'PHI: national_id';
COMMENT ON COLUMN doctor_payouts.amount IS 'PII: financial';

Deployment Checklist

Before every deployment:

  • No PHI in error messages or stack traces
  • No PHI in console.log/console.error
  • No PHI in URL parameters
  • No PHI in browser storage
  • No service_role key in client code
  • RLS enabled on all PHI/PII tables
  • Audit trail for all data modifications
  • Session timeout configured
  • API authentication on all PHI endpoints
  • Cross-facility data isolation verified

Examples

Example 1: Safe vs Unsafe Error Handling

// BAD — leaks PHI in error
throw new Error(`Patient ${patient.name} not found in ${patient.facility}`);

// GOOD — generic error, details logged server-side with opaque IDs only
logger.error('Patient lookup failed', { recordId: patient.id, facilityId });
throw new Error('Record not found');

Example 2: RLS Policy for Multi-Facility Isolation

-- Doctor at Facility A cannot see Facility B patients
CREATE POLICY "facility_isolation"
  ON patients FOR SELECT TO authenticated
  USING (facility_id IN (
    SELECT facility_id FROM staff_assignments WHERE user_id = auth.uid()
  ));

-- Test: login as doctor-facility-a, query facility-b patients
-- Expected: 0 rows returned

Example 3: Safe Logging

// BAD — logs identifiable patient data
console.log('Processing patient:', patient);

// GOOD — logs only opaque internal record ID
console.log('Processing record:', patient.id);
// Note: even patient.id should be an opaque UUID, not a medical record number

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