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Juicebox Data Handling

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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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  • Added February 7, 2026
securitytypescriptgobashsecurity

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A100/100

Scanned February 12, 2026

npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill juicebox-data-handling --agent claude-code

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SKILL.md
---
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

| Category | Examples | Retention | Access |
|----------|----------|-----------|--------|
| Public | Name, title, company | 1 year | All users |
| Contact | Email, phone | 90 days | Recruiters only |
| Sensitive | SSN, salary | 30 days | Admins only |
| Derived | Scores, notes | Permanent | Internal only |

## Instructions

### Step 1: Data Classification System
```typescript
// 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
```typescript
// 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
```typescript
// 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
```typescript
// 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
```typescript
// 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

```markdown
## 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
- [Juicebox Privacy Policy](https://juicebox.ai/privacy)
- [GDPR Guidelines](https://gdpr.eu)

## Next Steps
After data handling, see `juicebox-enterprise-rbac` for access controls.

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