How does this skill handle PII in PostHog?

It uses predefined regex patterns to identify sensitive data like emails and credit cards, providing redaction functions to mask information before it is processed or logged.

Does this skill support GDPR 'Right to Erasure'?

Yes, it includes implementation patterns for the 'Right to Deletion,' ensuring user data is removed from both PostHog and local caches while maintaining necessary audit logs.

Can I customize the data retention periods?

Absolutely. The skill provides a structured policy table and cleanup scripts where you can define specific retention windows for API logs, error logs, and PII.

Is this compatible with both GDPR and CCPA?

Yes, the patterns provided cover the core requirements for both regulations, including Data Subject Access Requests (DSAR) and automated data minimization.

PostHog Data Privacy & Compliance

Name: PostHog Data Privacy & Compliance
Author: jeremylongshore

byjeremylongshore

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1,030

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Analíticas y Monitorización

Implements PII redaction, data retention policies, and GDPR/CCPA compliance patterns for PostHog integrations.

This skill provides a comprehensive framework for managing sensitive data within PostHog environments. It enables developers to automatically detect and redact PII, establish automated data retention schedules, and fulfill legal requirements like Data Subject Access Requests (DSAR) and the Right to Erasure. By using standardized patterns for data classification and minimization, it ensures that your product analytics remains compliant with global privacy regulations like GDPR and CCPA while maintaining operational data utility.

Características Principales

011,030 GitHub stars

02Pre-log data redaction to prevent sensitive information from entering analytics

03Data classification framework to categorize information by sensitivity

04Automated PII detection using regex patterns for emails, phones, and credentials

05Configurable data retention policies with automated cleanup scripts

06Standardized GDPR/CCPA workflows for data export and user deletion

Casos de Uso

01Ensuring an application's PostHog integration complies with European GDPR regulations

02Cleaning up legacy analytics data that exceeds internal retention policies

03Automating the redaction of user emails and API keys from event tracking logs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills posthog-data-handling

For use in Claude.ai and ChatGPT

Características Principales

011,030 GitHub stars

02Pre-log data redaction to prevent sensitive information from entering analytics

03Data classification framework to categorize information by sensitivity

04Automated PII detection using regex patterns for emails, phones, and credentials

05Configurable data retention policies with automated cleanup scripts

06Standardized GDPR/CCPA workflows for data export and user deletion

Casos de Uso

01Ensuring an application's PostHog integration complies with European GDPR regulations

02Cleaning up legacy analytics data that exceeds internal retention policies

03Automating the redaction of user emails and API keys from event tracking logs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills posthog-data-handling

For use in Claude.ai and ChatGPT