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data-retention-policies数据保留政策

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

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CodexClaudeCursorGemini CLI

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本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

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unknown

最后核验

2026-05-01

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来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:data-retention-policies(数据保留政策)
来源仓库:https://github.com/finsilabs/awesome-ecommerce-skills
仓库路径:skills/data-retention-policies
安装命令:
npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill data-retention-policies
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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skills.shnpx skills
npx skills add https://github.com/finsilabs/awesome-ecommerce-skills --skill data-retention-policies

简介

用于制定和管理电商平台的数据保留策略,平衡法律合规与隐私保护需求。

  • 适用于处理 GDPR 数据最小化要求、税务记录保存期限及不同平台的数据管理差异。
  • 通过明确各类数据的保留周期、归档和清理规则,确保合规且高效的数据治理流程。
  • 安装需指定 GitHub 仓库路径,使用 npx skills add 命令完成技能添加。
  • 涉及敏感数据处理时,应确认权限边界并遵循数据脱敏规范。

SKILL.md

Data Retention Policies

Overview

Data retention policies define how long each category of data is kept, when it is archived, and when it is purged. E-commerce stores must balance legal obligations (tax records must typically be kept 5–7 years) against privacy regulations (GDPR's data minimization principle requires deleting data that is no longer needed). The right approach depends on your platform — Shopify handles some retention automatically, while WooCommerce/custom stores require explicit implementation.

When to Use This Skill

  • When implementing GDPR data minimization requirements for a new or existing e-commerce platform
  • When legal or compliance teams request a documented data retention policy
  • When preparing for a data protection audit or SOC 2 Type II assessment
  • When storage costs are growing due to uncontrolled data accumulation
  • When a customer submits a Subject Access Request and you need to know exactly where their data lives

Core Instructions

Step 1: Document your retention schedule first

Before configuring any tool, document a retention schedule. Legal, compliance, and engineering must agree before implementation. This Register of Processing Activities (RoPA) is required under GDPR Article 30 for large processors and recommended for all:

Data CategoryRetention PeriodAction After PeriodLegal Basis
Orders (financial records)7 yearsAnonymize PII; keep financial dataTax law (US IRS, EU VAT)
Invoices7 yearsArchive to cold storageTax compliance
Customer accounts3 years after last activityDeleteLegitimate interest
Sessions / login logs90 daysDeleteLegitimate interest
Marketing email consentUntil unsubscribeDelete on unsubscribeGDPR consent
Abandoned cart data30 daysDeleteLegitimate interest
Fraud/security logs90 daysAnonymizeLegitimate interest
Analytics events13 monthsAggregate then deleteLegitimate interest

Key principle: Never delete what the law requires you to keep. For orders, anonymize the customer's PII (name, email, address) while preserving the financial record (amounts, tax, payment method brand/last 4).

Step 2: Platform-specific retention configuration


Shopify

Shopify stores order data indefinitely by default and handles platform-level data retention for infrastructure components.

Customer data export and deletion (GDPR compliance): Shopify provides built-in GDPR webhooks:

  1. Go to Settings → Customers → Customer privacy
  2. Shopify automatically sends customers/data_request and customers/redact webhooks to any installed apps when a customer requests their data or deletion
  3. For your own app or custom code, register webhook handlers for these events

Manual customer anonymization:

  1. Open a customer record → More actions → Anonymize this customer
  2. Shopify replaces PII with anonymized placeholders while keeping order records
  3. This is irreversible — confirm before proceeding

Automated email list cleanup: Use Klaviyo (or your email provider) to automatically suppress or delete contacts who haven't opened an email in 12+ months. Most email providers have "sunset" automation features built in.

Data export for archiving:

  1. Go to Customers → Export to download customer data as CSV for archival
  2. For orders: Orders → Export
  3. Store exports in encrypted cold storage (e.g., AWS S3 with Glacier lifecycle policy)

WooCommerce

WooCommerce does not enforce data retention automatically. You need to configure it via plugins and scheduled tasks.

WooCommerce's built-in cleanup:

  1. Go to WooCommerce → Status → Tools
  2. Use Clean up WooCommerce sessions to delete expired session data
  3. Use WooCommerce tracker cleanup to clear tracking data

GDPR / data retention plugin: Install WP GDPR Compliance or GDPR Cookie Consent (by WebToffee):

  1. Go to WP GDPR Compliance → Settings → Data Retention
  2. Configure retention periods per data type
  3. The plugin creates scheduled cleanups via WP-Cron

Manual scheduled cleanup (WP-Cron):

// Add to your theme's functions.php or a custom plugin
// Schedule a daily cleanup job
if (!wp_next_scheduled('wc_data_retention_cleanup')) {
    wp_schedule_event(time(), 'daily', 'wc_data_retention_cleanup');
}

add_action('wc_data_retention_cleanup', 'run_data_retention');

function run_data_retention() {
    // Delete WooCommerce sessions older than 90 days
    global $wpdb;
    $wpdb->query(
        $wpdb->prepare(
            "DELETE FROM {$wpdb->prefix}woocommerce_sessions WHERE session_expiry < %d",
            time() - (90 * DAY_IN_SECONDS)
        )
    );
    // Log the cleanup
    error_log('WC data retention: cleaned sessions older than 90 days');
}

Order PII anonymization for tax compliance: Do not delete orders (required for tax records). Instead, anonymize PII while keeping financial data. Install WooCommerce GDPR (WebToffee) which adds an "Anonymize" action to orders.


BigCommerce

BigCommerce provides customer data management tools in the admin panel.

Customer data export:

  1. Go to Customers → Export → All Customers (CSV)
  2. Use for archival before deleting customer accounts

Customer deletion:

  1. Go to Customers → find the customer → Delete
  2. BigCommerce retains associated order records when a customer account is deleted

Automated retention: BigCommerce does not have built-in scheduled data retention. Use the BigCommerce Customers API and Orders API to:

  1. Query customers inactive for more than 3 years
  2. Archive their data
  3. Delete or anonymize their accounts

This requires a custom script or a third-party integration (e.g., via Zapier or a custom app).


Custom / Headless

For custom storefronts, implement automated purge and anonymization jobs that run on a schedule.

Key principle: batch small, run off-peak, always log:

// Run nightly at 2 AM UTC
import { CronJob } from 'cron';

new CronJob('0 2 * * *', runRetentionJobs).start();

async function runRetentionJobs() {
  const jobs = [
    { name: 'purge_sessions', fn: purgeSessions },
    { name: 'purge_abandoned_carts', fn: purgeAbandonedCarts },
    { name: 'anonymize_old_orders', fn: anonymizeOldOrders },
    { name: 'purge_inactive_customers', fn: purgeInactiveCustomers },
  ];

  for (const job of jobs) {
    try {
      const result = await job.fn();
      await db.retentionAuditLog.insert({ job: job.name, ...result, runAt: new Date() });
    } catch (err) {
      await alertOps(`Retention job failed: ${job.name}`, err);
    }
  }
}

// Paginated delete — avoids table locks
async function purgeSessions(): Promise<{ deleted: number }> {
  const cutoff = new Date(Date.now() - 90 * 86400_000);
  let deleted = 0;
  while (true) {
    const batch = await db.sessions.findExpired(cutoff, { limit: 1000 });
    if (batch.length === 0) break;
    await db.sessions.deleteBatch(batch.map(s => s.id));
    deleted += batch.length;
    await new Promise(r => setTimeout(r, 100)); // yield between batches
  }
  return { deleted };
}

// Anonymize order PII but keep financial data (7-year tax requirement)
async function anonymizeOldOrders(): Promise<{ anonymized: number }> {
  const cutoff = new Date(Date.now() - 7 * 365 * 86400_000);
  const orders = await db.orders.findWhere({ created_at: { lt: cutoff }, pii_anonymized_at: null }, { limit: 500 });
  for (const order of orders) {
    await db.orders.update(order.id, {
      customer_email:   `anon_${order.id}@deleted.invalid`,
      customer_name:    'Anonymous Customer',
      shipping_name:    'Anonymous',
      shipping_street:  null,
      shipping_city:    order.shipping_city,    // Keep for tax jurisdiction
      shipping_country: order.shipping_country,
      billing_name:     'Anonymous',
      billing_street:   null,
      // Financial data (total_amount, tax_amount, payment_method_last4): UNCHANGED
      pii_anonymized_at: new Date(),
    });
  }
  return { anonymized: orders.length };
}

Cross-service customer deletion: When deleting a customer, purge data from every system that holds it:

async function purgeCustomer(customerId: string, reason: 'gdpr_request' | 'inactivity') {
  // 1. Anonymize orders (keep for tax, remove PII)
  await anonymizeOrdersForCustomer(customerId);
  // 2. Delete from email platform (Klaviyo, Mailchimp)
  await emailPlatform.deleteContact(customerId);
  // 3. Delete from search index (Algolia, Elasticsearch)
  await searchIndex.deleteCustomer(customerId);
  // 4. Delete analytics identifier
  await analytics.deleteUser(customerId);
  // 5. Delete the customer profile
  await db.customers.anonymize(customerId);
  // 6. Log for compliance evidence
  await db.retentionAuditLog.insert({ action: 'customer_purged', customerId, reason, executedAt: new Date() });
}

Best Practices

  • Document before implementing — legal, compliance, and engineering must agree on the retention schedule; unilateral engineering decisions create compliance gaps
  • Anonymize financial records, never delete them — orders must be retained for the tax statutory period; replace PII fields with anonymized placeholders
  • Keep a separate, append-only retention audit log — this is your evidence for compliance auditors; never delete from this log
  • Run purge jobs in small batches off-peak — use SELECT... LIMIT n batches to avoid table locks that impact live traffic
  • Handle cross-service deletion as a checklist — purges spanning multiple services (database, email platform, analytics) must be resilient; log completion for each system separately
  • Respond to GDPR deletion requests within 30 days — build automated workflows with reminders and escalations; track all requests with deadlines

Common Pitfalls

ProblemSolution
Retention job locks production tablesUse small batch sizes (500–5000 rows), add LIMIT to every DELETE/UPDATE, run during low-traffic hours
Purging customers with open disputes or pending ordersCheck for pending chargebacks, open orders, and active subscriptions before any purge; implement a legal hold mechanism
Forgetting search indexes and analytics warehousesMaintain a registry of all systems that store personal data; include each in every deletion workflow
GDPR deletion request not completed within 30 daysBuild an automated workflow with a 30-day deadline tracker; escalate to a human if not completed 5 days before the deadline
Backup systems containing data past retention periodFlag purged customer IDs so that if a backup is restored for disaster recovery, those records are immediately re-purged

Related Skills

  • @gdpr-ecommerce
  • @account-security
  • @financial-audit-trail
  • @financial-compliance-sox

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