Which framework does this skill use?

This skill is specifically mapped to the LINDDUN framework's Linkability (L) category for systematic privacy threat modeling.

What types of files does this skill analyze?

It scans source code, database schemas, configuration files, API definitions, and analytics integrations to find patterns that enable cross-context correlation.

What is linkability in a privacy context?

Linkability occurs when an adversary can correlate two or more data records or actions to the same individual across different contexts or time periods, even without knowing their direct identity.

How does the Linking skill help with GDPR compliance?

It identifies shared identifiers and data propagation patterns that may violate data minimization and 'protection by design' principles required by GDPR Articles 5 and 25.

Can this skill suggest fixes for privacy issues?

Yes, when used with the --fix flag, the skill can generate suggestions for pseudonymization and identifier isolation to mitigate detected linkability risks.

Linkability & Privacy Analysis

Name: Linkability & Privacy Analysis
Author: florianbuetow

byflorianbuetow

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Security & Testing

Analyzes source code to identify and mitigate linkability threats where user data can be correlated across services, sessions, or contexts.

The Linkability skill provides comprehensive privacy audits by identifying patterns that allow for the correlation of separate data points back to a single individual. By mapping to the LINDDUN framework's 'L' category, it scans for shared identifiers, tracking cookies, device fingerprinting, and analytics events that could compromise user anonymity. It is an essential tool for developers and privacy engineers working on multi-service architectures or data-sensitive applications to ensure compliance with global regulations like GDPR and CCPA through automated detection and remediation suggestions.

Key Features

01Identifies cross-domain tracking cookies and persistent session tokens

02Detects shared user identifiers and global IDs across microservices

036 GitHub stars

04Maps identifier propagation across databases, APIs, and application logs

05Analyzes analytics integrations for PII and behavioral data correlation

06Scans for device fingerprinting techniques like User Agent and canvas tracking

Use Cases

01Identifying and fixing inadvertent data linkage in analytics and logging pipelines

02Auditing microservice architectures to prevent cross-service user tracking

03Conducting privacy impact assessments for GDPR, CCPA, and HIPAA compliance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add florianbuetow/claude-code linking

For use in Claude.ai and ChatGPT

Download Skill