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数据与研究 · SKILL.md

juicebox-data-handling

juicebox-data-handling

【数据与研究】Implement Juicebox data privacy and handling. Use when managing personal data, implementing GDPR compliance, or handling sensitive candidate information. Trigger with phrases like "juicebox data privacy", "juicebox GDPR", "juicebox PII handling", "juicebox data compliance".

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技能说明

GitHub

name: juicebox-data-handling description: | Implement Juicebox data privacy and handling. Use when managing personal data, implementing GDPR compliance, or handling sensitive candidate information. Trigger with phrases like "juicebox data privacy", "juicebox GDPR", "juicebox PII handling", "juicebox data compliance". allowed-tools: Read, Write, Edit, Bash(kubectl:), Bash(curl:) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Juicebox Data Handling

Overview

Implement compliant data handling practices for personal and candidate data from Juicebox.

Prerequisites

  • Understanding of applicable privacy regulations (GDPR, CCPA)
  • Data classification framework
  • Legal/compliance team sign-off

Data Classification

CategoryExamplesRetentionAccess
PublicName, title, company1 yearAll users
ContactEmail, phone90 daysRecruiters only
SensitiveSSN, salary30 daysAdmins only
DerivedScores, notesPermanentInternal only

Instructions

Step 1: Data Classification System

// lib/data-classifier.ts
export enum DataCategory {
  PUBLIC = 'public',
  CONTACT = 'contact',
  SENSITIVE = 'sensitive',
  DERIVED = 'derived'
}

export const fieldClassification: Record<string, DataCategory> = {
  // Public data
  name: DataCategory.PUBLIC,
  title: DataCategory.PUBLIC,
  company: DataCategory.PUBLIC,
  location: DataCategory.PUBLIC,
  linkedin_url: DataCategory.PUBLIC,

  // Contact data
  email: DataCategory.CONTACT,
  phone: DataCategory.CONTACT,
  personal_email: DataCategory.CONTACT,

  // Sensitive data
  salary: DataCategory.SENSITIVE,
  compensation: DataCategory.SENSITIVE,

  // Derived data
  fit_score: DataCategory.DERIVED,
  recruiter_notes: DataCategory.DERIVED
};

export function classifyData(data: Record<string, any>): Record<DataCategory, string[]> {
  const classified: Record<DataCategory, string[]> = {
    [DataCategory.PUBLIC]: [],
    [DataCategory.CONTACT]: [],
    [DataCategory.SENSITIVE]: [],
    [DataCategory.DERIVED]: []
  };

  for (const field of Object.keys(data)) {
    const category = fieldClassification[field] || DataCategory.DERIVED;
    classified[category].push(field);
  }

  return classified;
}

Step 2: PII Handling

// lib/pii-handler.ts
import crypto from 'crypto';

export class PIIHandler {
  // Mask sensitive fields for logging
  maskForLogging(profile: Profile): Record<string, any> {
    return {
      ...profile,
      email: this.maskEmail(profile.email),
      phone: this.maskPhone(profile.phone),
      personal_email: undefined // Remove entirely
    };
  }

  private maskEmail(email?: string): string | undefined {
    if (!email) return undefined;
    const [local, domain] = email.split('@');
    return `${local[0]}***@${domain}`;
  }

  private maskPhone(phone?: string): string | undefined {
    if (!phone) return undefined;
    return `***-***-${phone.slice(-4)}`;
  }

  // Encrypt sensitive data at rest
  encrypt(data: string, key: Buffer): string {
    const iv = crypto.randomBytes(16);
    const cipher = crypto.createCipheriv('aes-256-gcm', key, iv);
    let encrypted = cipher.update(data, 'utf8', 'base64');
    encrypted += cipher.final('base64');
    const tag = cipher.getAuthTag();
    return `${iv.toString('base64')}:${tag.toString('base64')}:${encrypted}`;
  }

  // Decrypt sensitive data
  decrypt(encrypted: string, key: Buffer): string {
    const [ivB64, tagB64, data] = encrypted.split(':');
    const iv = Buffer.from(ivB64, 'base64');
    const tag = Buffer.from(tagB64, 'base64');
    const decipher = crypto.createDecipheriv('aes-256-gcm', key, iv);
    decipher.setAuthTag(tag);
    let decrypted = decipher.update(data, 'base64', 'utf8');
    decrypted += decipher.final('utf8');
    return decrypted;
  }
}

Step 3: Retention Policies

// lib/retention-policy.ts
export class RetentionPolicy {
  private policies: Record<DataCategory, number> = {
    [DataCategory.PUBLIC]: 365,      // 1 year
    [DataCategory.CONTACT]: 90,      // 90 days
    [DataCategory.SENSITIVE]: 30,    // 30 days
    [DataCategory.DERIVED]: -1       // No auto-delete
  };

  getRetentionDays(category: DataCategory): number {
    return this.policies[category];
  }

  async enforceRetention(): Promise<RetentionReport> {
    const report: RetentionReport = {
      processed: 0,
      deleted: 0,
      errors: []
    };

    for (const [category, days] of Object.entries(this.policies)) {
      if (days < 0) continue; // Skip no-delete categories

      const cutoff = new Date();
      cutoff.setDate(cutoff.getDate() - days);

      const result = await this.deleteExpiredData(category as DataCategory, cutoff);
      report.processed += result.processed;
      report.deleted += result.deleted;
    }

    return report;
  }

  private async deleteExpiredData(
    category: DataCategory,
    cutoff: Date
  ): Promise<{ processed: number; deleted: number }> {
    // Implementation depends on data storage
    return db.$transaction(async (tx) => {
      const expired = await tx.profileData.findMany({
        where: {
          category,
          createdAt: { lt: cutoff }
        }
      });

      await tx.profileData.deleteMany({
        where: {
          id: { in: expired.map(e => e.id) }
        }
      });

      return {
        processed: expired.length,
        deleted: expired.length
      };
    });
  }
}

// Run retention daily
cron.schedule('0 2 * * *', async () => {
  const policy = new RetentionPolicy();
  const report = await policy.enforceRetention();
  logger.info('Retention policy enforced', report);
});

Step 4: Data Subject Rights

// services/data-rights.ts
export class DataRightsService {
  // Right to access
  async handleAccessRequest(subjectEmail: string): Promise<DataExport> {
    // Find all data for subject
    const profiles = await db.profiles.findMany({
      where: { email: subjectEmail }
    });

    // Include access logs
    const accessLogs = await db.accessLogs.findMany({
      where: { profileEmail: subjectEmail }
    });

    return {
      profiles,
      accessLogs,
      exportedAt: new Date(),
      format: 'json'
    };
  }

  // Right to erasure (GDPR Article 17)
  async handleDeletionRequest(
    subjectEmail: string,
    requestId: string
  ): Promise<DeletionReport> {
    const report: DeletionReport = {
      requestId,
      subjectEmail,
      deletedRecords: 0,
      status: 'completed',
      completedAt: new Date()
    };

    await db.$transaction(async (tx) => {
      // Delete profile data
      const deleted = await tx.profiles.deleteMany({
        where: { email: subjectEmail }
      });
      report.deletedRecords += deleted.count;

      // Delete from cache
      await cache.deleteByPattern(`*${subjectEmail}*`);

      // Log deletion for compliance
      await tx.deletionLogs.create({
        data: {
          requestId,
          subjectEmail,
          deletedCount: report.deletedRecords,
          completedAt: new Date()
        }
      });
    });

    // Notify downstream systems
    await this.notifyDeletion(subjectEmail, requestId);

    return report;
  }

  // Right to rectification
  async handleRectificationRequest(
    subjectEmail: string,
    corrections: Record<string, any>
  ): Promise<void> {
    await db.profiles.updateMany({
      where: { email: subjectEmail },
      data: corrections
    });

    // Log for audit
    await db.auditLogs.create({
      data: {
        type: 'rectification',
        subjectEmail,
        changes: corrections
      }
    });
  }
}

Step 5: Access Logging

// middleware/access-logging.ts
export function logDataAccess(req: Request, res: Response, next: NextFunction) {
  const originalJson = res.json.bind(res);

  res.json = (data: any) => {
    // Log access to profile data
    if (data?.profiles || data?.profile) {
      const profiles = data.profiles || [data.profile];
      const profileIds = profiles.map((p: any) => p.id);

      db.accessLogs.create({
        data: {
          userId: req.user?.id,
          profileIds,
          operation: req.method,
          path: req.path,
          timestamp: new Date(),
          ip: req.ip,
          userAgent: req.get('user-agent')
        }
      }).catch(console.error);
    }

    return originalJson(data);
  };

  next();
}

Compliance Checklist

## Data Handling Compliance

### GDPR Requirements
- [ ] Lawful basis for processing documented
- [ ] Privacy policy updated
- [ ] Data subject rights implemented
- [ ] Data breach notification process
- [ ] DPA with Juicebox executed

### CCPA Requirements
- [ ] "Do Not Sell" option implemented
- [ ] Consumer rights portal
- [ ] Opt-out mechanisms
- [ ] Annual training completed

### Security
- [ ] Encryption at rest
- [ ] Encryption in transit
- [ ] Access logging
- [ ] Regular audits

Output

  • Data classification system
  • PII handling utilities
  • Retention policy enforcement
  • Data subject rights handlers

Resources

Next Steps

After data handling, see juicebox-enterprise-rbac for access controls.

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