본문으로 건너뛰기
cccskills
무료GitHub에 공개

compliance-testing

Regulatory compliance testing for GDPR, CCPA, HIPAA, SOC2, PCI-DSS and industry-specific regulations. Use when ensuring legal compliance, preparing for audits, or handling sensitive data.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe스타 515(GitHub 515 + cccskills 0)

실행 점수 미검증

설치 방법 보기

포함된 파일(5)

  • SKILL.md7.1 KB
  • config.json570 B
  • evals/compliance-testing.yaml30.8 KB
  • schemas/output.json22.9 KB
  • scripts/validate-config.json638 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Compliance Testing

<default_to_action> When validating regulatory compliance:

  1. IDENTIFY applicable regulations (GDPR, HIPAA, PCI-DSS, etc.)
  2. MAP requirements to testable controls
  3. TEST data rights (access, erasure, portability)
  4. VERIFY encryption and access logging
  5. GENERATE audit-ready reports with evidence

Quick Compliance Checklist:

  • Data subject rights work (access, delete, export)
  • PII is encrypted at rest and in transit
  • Access to sensitive data is logged
  • Consent is tracked with timestamps
  • Payment card data not stored (only tokenized)

Critical Success Factors:

  • Non-compliance = €20M or 4% revenue (GDPR)
  • Audit trail everything
  • Test continuously, not just before audits </default_to_action>

Quick Reference Card

When to Use

  • Legal compliance requirements
  • Before security audits
  • Handling PII/PHI/PCI data
  • Entering new markets (EU, CA, healthcare)

Major Regulations

RegulationScopeKey Focus
GDPREU dataPrivacy rights, consent
CCPACaliforniaConsumer data rights
HIPAAHealthcarePHI protection
PCI-DSSPaymentsCard data security
SOC2SaaSSecurity controls

Penalties

RegulationMaximum Fine
GDPR€20M or 4% revenue
HIPAA$1.5M per violation
PCI-DSS$100k/month
CCPA$7,500 per violation

GDPR Compliance Testing

// Test data subject rights
test('user can request their data', async () => {
  const response = await api.post('/data-export', { userId });

  expect(response.status).toBe(200);
  expect(response.data.downloadUrl).toBeDefined();

  const data = await downloadFile(response.data.downloadUrl);
  expect(data).toHaveProperty('profile');
  expect(data).toHaveProperty('orders');
});

test('user can delete their account', async () => {
  await api.delete(`/users/${userId}`);

  // All personal data deleted
  expect(await db.users.findOne({ id: userId })).toBeNull();
  expect(await db.orders.find({ userId })).toHaveLength(0);

  // Audit log retained (legal requirement)
  expect(await db.auditLogs.find({ userId })).toBeDefined();
});

test('consent is tracked', async () => {
  await api.post('/consent', {
    userId, type: 'marketing', granted: true,
    timestamp: new Date(), ipAddress: '192.168.1.1'
  });

  const consent = await db.consents.findOne({ userId, type: 'marketing' });
  expect(consent.timestamp).toBeDefined();
  expect(consent.ipAddress).toBeDefined();
});

HIPAA Compliance Testing

// Test PHI security
test('PHI is encrypted at rest', async () => {
  const patient = await db.patients.create({
    ssn: '123-45-6789',
    medicalHistory: 'Diabetes'
  });

  const raw = await db.raw('SELECT * FROM patients WHERE id = ?', patient.id);
  expect(raw.ssn).not.toBe('123-45-6789'); // Should be encrypted
});

test('access to PHI is logged', async () => {
  await api.get('/patients/123', {
    headers: { 'User-Id': 'doctor456' }
  });

  const auditLog = await db.auditLogs.findOne({
    resourceType: 'patient',
    resourceId: '123',
    userId: 'doctor456'
  });

  expect(auditLog.action).toBe('read');
  expect(auditLog.timestamp).toBeDefined();
});

PCI-DSS Compliance Testing

// Test payment card handling
test('credit card numbers not stored', async () => {
  await api.post('/payment', {
    cardNumber: '4242424242424242',
    expiry: '12/25', cvv: '123'
  });

  const payment = await db.payments.findOne({ /* ... */ });
  expect(payment.cardNumber).toBeUndefined();
  expect(payment.last4).toBe('4242'); // Only last 4
  expect(payment.tokenId).toBeDefined(); // Token from gateway
});

test('CVV never stored', async () => {
  const payments = await db.raw('SELECT * FROM payments');
  const hasCVV = payments.some(p =>
    JSON.stringify(p).toLowerCase().includes('cvv')
  );
  expect(hasCVV).toBe(false);
});

Agent-Driven Compliance

// Comprehensive compliance validation
await Task("Compliance Validation", {
  regulations: ['GDPR', 'PCI-DSS'],
  scope: 'full-application',
  generateAuditReport: true
}, "qe-security-scanner");

// Returns:
// {
//   gdpr: { compliant: true, controls: 12, passed: 12 },
//   pciDss: { compliant: false, controls: 8, passed: 7 },
//   violations: [{ control: 'card-storage', severity: 'critical' }],
//   auditReport: 'compliance-audit-2025-12-02.pdf'
// }

Agent Coordination Hints

Memory Namespace

aqe/compliance-testing/
├── regulations/*        - Regulation requirements
├── controls/*           - Control test results
├── audit-reports/*      - Generated audit reports
└── violations/*         - Compliance violations

Fleet Coordination

const complianceFleet = await FleetManager.coordinate({
  strategy: 'compliance-validation',
  agents: [
    'qe-security-scanner',   // Scan for vulnerabilities
    'qe-test-executor',      // Execute compliance tests
    'qe-quality-gate'        // Block non-compliant releases
  ],
  topology: 'sequential'
});

Related Skills


Remember

Compliance is mandatory, not optional. Fines are severe: GDPR up to €20M or 4% of revenue, HIPAA up to $1.5M per violation. But beyond fines, non-compliance damages reputation and user trust.

Audit trail everything. Every access to sensitive data, every consent, every deletion must be logged with timestamps and user IDs.

With Agents: Agents validate compliance requirements continuously, detect violations early, and generate audit-ready reports. Catch compliance issues in development, not in audits.

Gotchas

  • Agent checks GDPR consent flow but misses data retention — always verify deletion/anonymization actually works
  • Compliance reports with "100% compliant" are suspicious — no real system is fully compliant, verify each claim
  • Agent may test US regulations only — explicitly specify jurisdiction (EU, CA, etc.) for correct requirements
  • PII in test data is itself a compliance violation — never use production PII, use synthetic generators
  • Audit trail gaps are invisible until audit time — verify logging exists for EVERY data access, not just writes

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

a11y-ally

무료

Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe5152026년 10월 26일 업데이트

WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for disabilities, or building accessible applications for 1 billion disabled users globally.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe5152026년 10월 26일 업데이트

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe5152026년 10월 26일 업데이트

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe5152026년 10월 26일 업데이트

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe5152026년 10월 26일 업데이트

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

proffesor-for-testing/agentic-qe5152026년 10월 26일 업데이트

proffesor-for-testing의 스킬 모두 보기

이 스킬의 문제 신고