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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
実行スコア 未検証
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
<default_to_action> When validating regulatory compliance:
Quick Compliance Checklist:
Critical Success Factors:
| Regulation | Scope | Key Focus |
|---|---|---|
| GDPR | EU data | Privacy rights, consent |
| CCPA | California | Consumer data rights |
| HIPAA | Healthcare | PHI protection |
| PCI-DSS | Payments | Card data security |
| SOC2 | SaaS | Security controls |
| Regulation | Maximum Fine |
|---|---|
| GDPR | €20M or 4% revenue |
| HIPAA | $1.5M per violation |
| PCI-DSS | $100k/month |
| CCPA | $7,500 per violation |
// Test data subject rights
test('user can request their data', async () => {
const response = await api.post('/data-export', { userId });
expect(response.status).toBe(200);
expect(response.data.downloadUrl).toBeDefined();
const data = await downloadFile(response.data.downloadUrl);
expect(data).toHaveProperty('profile');
expect(data).toHaveProperty('orders');
});
test('user can delete their account', async () => {
await api.delete(`/users/${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();
});
// 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();
});
// 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);
});
// 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'
// }
aqe/compliance-testing/
├── regulations/* - Regulation requirements
├── controls/* - Control test results
├── audit-reports/* - Generated audit reports
└── violations/* - Compliance violations
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'
});
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.
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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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。