GDPR data handling, audit logging, data classification, retention policies, and consent management for regulatory compliance.
npx skills add https://github.com/vibeeval/vibecosystem --skill compliance-patterns
Data governance and regulatory compliance patterns for software systems.
// Tag every data field with its classification level
enum DataClass {
PUBLIC = 'public', // Marketing content, product info
INTERNAL = 'internal', // Business metrics, employee count
CONFIDENTIAL = 'confidential', // Customer emails, order history
RESTRICTED = 'restricted', // Passwords, SSN, payment cards, health data
}
// Schema-level classification
interface UserRecord {
id: string // INTERNAL
email: string // CONFIDENTIAL (PII)
displayName: string // CONFIDENTIAL (PII)
passwordHash: string // RESTRICTED
dateOfBirth: string // RESTRICTED (sensitive PII)
preferences: object // INTERNAL
createdAt: Date // INTERNAL
}
// Field-level encryption for RESTRICTED data
const ENCRYPTED_FIELDS: Record<string, DataClass> = {
'user.email': DataClass.CONFIDENTIAL,
'user.dateOfBirth': DataClass.RESTRICTED,
'user.ssn': DataClass.RESTRICTED,
'payment.cardNumber': DataClass.RESTRICTED,
}
function shouldEncryptAtRest(fieldPath: string): boolean {
const classification = ENCRYPTED_FIELDS[fieldPath]
return classification === DataClass.RESTRICTED
}
function shouldMaskInLogs(fieldPath: string): boolean {
const classification = ENCRYPTED_FIELDS[fieldPath]
return classification === DataClass.CONFIDENTIAL || classification === DataClass.RESTRICTED
}
interface AuditEvent {
id: string
timestamp: string // ISO 8601
actor: {
id: string
type: 'user' | 'system' | 'admin'
ip?: string
}
action: string // e.g., 'user.profile.updated', 'order.deleted'
resource: {
type: string
id: string
}
changes?: {
field: string
oldValue: unknown // Masked if RESTRICTED
newValue: unknown // Masked if RESTRICTED
}[]
metadata?: Record<string, unknown>
result: 'success' | 'failure' | 'denied'
reason?: string // For denied/failure
}
class AuditLogger {
constructor(private store: AuditStore) {}
async log(event: Omit<AuditEvent, 'id' | 'timestamp'>): Promise<void> {
const auditEvent: AuditEvent = {
...event,
id: crypto.randomUUID(),
timestamp: new Date().toISOString(),
changes: event.changes?.map(c => ({
...c,
oldValue: shouldMaskInLogs(c.field) ? '[REDACTED]' : c.oldValue,
newValue: shouldMaskInLogs(c.field) ? '[REDACTED]' : c.newValue,
})),
}
// Audit logs are append-only, immutable, tamper-evident
await this.store.append(auditEvent)
}
}
// Middleware: auto-audit all mutations
function auditMiddleware(auditLogger: AuditLogger) {
return async (req: Request, res: Response, next: NextFunction) => {
const originalJson = res.json.bind(res)
res.json = function(body: any) {
if (['POST', 'PUT', 'PATCH', 'DELETE'].includes(req.method)) {
auditLogger.log({
actor: { id: req.user?.id ?? 'anonymous', type: 'user', ip: req.ip },
action: `${req.method.toLowerCase()}.${req.path}`,
resource: { type: req.path.split('/')[2], id: req.params.id ?? 'N/A' },
result: res.statusCode < 400 ? 'success' : 'failure',
}).catch(err => console.error('Audit log failed:', err))
}
return originalJson(body)
}
next()
}
}
// Right to Access (Article 15): export all user data
async function exportUserData(userId: string): Promise<DataExport> {
const user = await db.user.findUnique({ where: { id: userId } })
const orders = await db.order.findMany({ where: { userId } })
const activityLog = await db.activityLog.findMany({ where: { userId } })
const consents = await db.consent.findMany({ where: { userId } })
return {
exportDate: new Date().toISOString(),
subject: { id: userId, email: user?.email },
personalData: {
profile: sanitizeForExport(user),
orders: orders.map(sanitizeForExport),
activity: activityLog,
consents,
},
format: 'JSON',
version: '1.0',
}
}
// Right to Erasure (Article 17): delete user data
async function deleteUserData(userId: string): Promise<DeletionReport> {
const report: DeletionReport = { userId, deletedAt: new Date(), items: [] }
// Soft-delete user profile
await db.user.update({
where: { id: userId },
data: { email: `deleted_${userId}@deleted.local`, deletedAt: new Date() }
})
report.items.push({ type: 'user_profile', action: 'anonymized' })
// Hard-delete activity logs
const { count } = await db.activityLog.deleteMany({ where: { userId } })
report.items.push({ type: 'activity_logs', action: 'deleted', count })
// Retain orders for legal/tax compliance (anonymize PII)
await db.order.updateMany({
where: { userId },
data: { customerName: '[DELETED]', customerEmail: '[DELETED]' }
})
report.items.push({ type: 'orders', action: 'anonymized_pii' })
// Log the deletion itself (audit trail required)
await auditLogger.log({
actor: { id: userId, type: 'user' },
action: 'user.data.erased',
resource: { type: 'user', id: userId },
result: 'success',
})
return report
}
interface ConsentRecord {
userId: string
purpose: string // 'marketing', 'analytics', 'third_party_sharing'
granted: boolean
grantedAt: Date
expiresAt?: Date
source: string // 'signup_form', 'settings_page', 'cookie_banner'
version: string // Consent text version (re-consent needed on change)
}
async function checkConsent(userId: string, purpose: string): Promise<boolean> {
const consent = await db.consent.findFirst({
where: {
userId,
purpose,
granted: true,
OR: [
{ expiresAt: null },
{ expiresAt: { gt: new Date() } },
],
}
})
return consent !== null
}
// Guard: only process data if consent exists
async function sendMarketingEmail(userId: string): Promise<void> {
const hasConsent = await checkConsent(userId, 'marketing')
if (!hasConsent) {
console.log(`Skipping marketing email for ${userId}: no consent`)
return
}
await emailService.send(userId, marketingTemplate)
}
// Automated data retention enforcement
const RETENTION_POLICIES: RetentionPolicy[] = [
{ dataType: 'session_logs', retentionDays: 90, action: 'delete' },
{ dataType: 'audit_logs', retentionDays: 2555, action: 'archive' }, // 7 years
{ dataType: 'user_activity', retentionDays: 365, action: 'anonymize' },
{ dataType: 'deleted_accounts', retentionDays: 30, action: 'purge' },
]
async function enforceRetention(): Promise<RetentionReport> {
const report: RetentionReport = { executedAt: new Date(), actions: [] }
for (const policy of RETENTION_POLICIES) {
const cutoffDate = new Date()
cutoffDate.setDate(cutoffDate.getDate() - policy.retentionDays)
const count = await executeRetentionAction(policy.dataType, cutoffDate, policy.action)
report.actions.push({
dataType: policy.dataType,
action: policy.action,
recordsAffected: count,
cutoffDate,
})
}
return report
}
// Schedule: run daily via cron
// 0 3 * * * node scripts/enforce-retention.js
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take vibeeval/compliance-patterns from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.