data-minimization-audit

Scan Swift and Objective-C sources, entitlements, and privacy manifests to flag excessive data collection.

13|1|Updated Mar 29, 2026
One-click install
npx skills add https://github.com/cruisediary/apple-app-review-skills --skill data-minimization-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: data-minimization-audit
Source: https://github.com/cruisediary/apple-app-review-skills/tree/main/skills/privacy/data-minimization-audit
Command: npx skills add https://github.com/cruisediary/apple-app-review-skills --skill data-minimization-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data minimization audits identify data collection patterns that exceed an app's stated functionality, assisting teams in complying with privacy requirements and reducing unnecessary exposure of user data.

Core Features & Use Cases

  • Phase-based analysis of Swift and Objective-C sources, entitlements, and privacy manifests to detect over-collection patterns.
  • Flag common risky patterns such as full photo library or contact access and propose privacy-preserving alternatives.
  • Generate a structured findings report with actionable remediation guidance for privacy compliance.

Quick Start

Run the data-minimization-audit skill against your iOS/macOS project to generate a findings report and remediation recommendations.

Frequently Asked Questions about data-minimization-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit my iOS app for data minimization compliance?

To audit data minimization compliance, scan Swift and Objective-C sources alongside entitlements and privacy manifests to identify data collection patterns exceeding stated functionality and generate remediation guidance.

What are common risky permission patterns in macOS app entitlements?

Risky permission patterns in macOS entitlements include requesting full photo library or contacts access, which exceed app functionality. Auditing flags these over-collection patterns and suggests privacy-preserving alternatives.

How do I check if my privacy manifest requests unnecessary data collection?

Checking privacy manifests for unnecessary data collection involves scanning the file against app functionality to detect over-collection patterns, generating a structured findings report with actionable remediation steps.

Can this data minimization audit analyze both Swift and Objective-C code?

Yes, the data minimization audit analyzes both Swift and Objective-C sources to detect permission requests and data usage beyond necessity, providing structured remediation recommendations for iOS and macOS projects.

What's the best way to identify over-collected permissions before an Apple app review?

The best way to identify over-collected permissions before Apple app review is running phase-based analysis on sources, entitlements, and privacy manifests to flag data exceeding stated functionality and ensure Apple guidelines compliance.

When do I need a data minimization audit for my iOS project?

You need a data minimization audit during iOS development and review processes when your app requests permissions or collects data, ensuring compliance with privacy requirements and reducing unnecessary user data exposure.