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Managing Mobile App Consent

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mukul975
managing-mobile-app-consent

Guide for mobile-specific consent management covering Apple ATT framework for iOS, Android permission model, in-app consent flows, SDK consent propagation to third-party libraries, and IDFA/GAID handling. Addresses platform-specific requirements alongside GDPR and ePrivacy compliance for mobile applications.

Overview

Publishermukul975
RepositoryPrivacy-Data-Protection-Skills
Skill namemanaging-mobile-app-consent
Stars
279
Forks
59
Bundled files
4
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mukul975 on GitHub. Read the source before you install it.

Installation

Install the Managing Mobile App Consent AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git /tmp/Privacy-Data-Protection-Skills
mkdir -p .claude/skills
cp -r /tmp/Privacy-Data-Protection-Skills/plugins/consent-management-skills/skills/managing-mobile-app-consent .claude/skills/managing-mobile-app-consent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Managing Mobile App Consent in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Managing Mobile App Consent on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Managing Mobile App Consent is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Managing Mobile App Consent

Overview

Mobile applications present unique consent challenges: platform-level permission systems (Apple ATT, Android runtime permissions), advertising identifiers (IDFA/GAID), SDK-level data collection by third-party libraries, and limited screen real estate for consent interfaces. Compliance requires coordination between GDPR/ePrivacy requirements and platform-specific privacy frameworks.

Apple App Tracking Transparency (ATT) Framework

Requirements (iOS 14.5+, enforced April 2021)

Apple's ATT framework requires apps to request user permission before tracking across apps and websites owned by other companies. Key aspects:

  • NSUserTrackingUsageDescription: Apps must include a purpose string in Info.plist explaining why tracking is needed.
  • ATTrackingManager.requestTrackingAuthorization(): Must be called before accessing IDFA or performing tracking.
  • IDFA Access: The Identifier for Advertisers (IDFA) returns all zeros unless the user grants ATT permission.
  • Tracking Definition: Apple defines "tracking" as linking user/device data from your app with data from other companies' apps/websites for advertising or sharing with data brokers.

CloudVault SaaS Inc. ATT Implementation

Purpose String (NSUserTrackingUsageDescription): "CloudVault uses this identifier to measure the effectiveness of our advertising campaigns and provide relevant ads. You can change this in Settings at any time."

Pre-Permission Prompt (shown before ATT dialog): CloudVault SaaS Inc. displays a custom pre-permission screen explaining the value exchange before triggering the system ATT dialog:

"Help us improve CloudVault by allowing measurement of our advertising. This helps us understand which ads brought you here and improve our marketing spend. Your data is never sold. You can change this choice in iOS Settings at any time."

[Continue] → triggers ATTrackingManager.requestTrackingAuthorization()

ATT States and Handling

ATT StatusMeaningCloudVault Action
.notDeterminedUser hasn't been asked yetShow pre-permission screen, then request
.authorizedUser allowed trackingEnable IDFA access, attribution SDKs
.deniedUser denied trackingDisable IDFA, use SKAdNetwork for attribution
.restrictedTracking restricted by parental controls/MDMDo not request, use SKAdNetwork

Android Permission Model and Privacy Changes

Android 13+ (API 33) Ad ID Changes

  • AD_ID Permission: Apps must declare com.google.android.gms.permission.AD_ID in AndroidManifest.xml to access Google Advertising ID (GAID).
  • Google Play Requirements: Apps targeting children must not access GAID.
  • User Reset: Users can reset or delete their GAID in Android Settings.

Android Privacy Sandbox (In Development)

Google's Privacy Sandbox for Android introduces:

  • Topics API: Returns coarse-grained interest topics (replaces FLoC for mobile)
  • Attribution Reporting API: Privacy-preserving ad attribution (similar to SKAdNetwork)
  • FLEDGE: On-device ad auctions without cross-app tracking

CloudVault SaaS Inc. Android Implementation

xml
<!-- AndroidManifest.xml -->
<uses-permission android:name="com.google.android.gms.permission.AD_ID"/>

GAID is only accessed if the user has granted consent for advertising purposes through the in-app consent flow. If consent is not granted, GAID is not read.

In-App Consent Flow Design

First Launch Consent

App First Launch
  ├─► Step 1: Welcome screen with privacy summary
  │     "Welcome to CloudVault. Before you get started,
  │      let's set up your privacy preferences."
  │     [Set Up Privacy]
  ├─► Step 2: Layered consent screen
  │     ├─ Purpose 1: Analytics [Toggle, OFF by default]
  │     │   "Help us improve CloudVault by sharing anonymous usage data"
  │     │   [Learn More] → detailed Art. 13 information
  │     │
  │     ├─ Purpose 2: Advertising Measurement [Toggle, OFF by default]
  │     │   "Measure which ads brought you to CloudVault"
  │     │   [Learn More] → detailed information + ATT context
  │     │
  │     ├─ Purpose 3: Crash Reporting [Toggle, OFF by default]
  │     │   "Share crash reports to help us fix bugs faster"
  │     │   [Learn More] → data types, retention
  │     │
  │     └─ "You can change these at any time in Settings > Privacy"
  ├─► Step 3: Record consent decisions
  │     ├─ Per-purpose consent records (standard fields)
  │     ├─ Platform: iOS/Android
  │     ├─ OS version, app version, device model
  │     └─ SDK consent propagation (see below)
  ├─► Step 4: Platform-specific follow-up
  │     ├─ iOS: If advertising consent granted → trigger ATT dialog
  │     └─ Android: If advertising consent granted → access GAID
  └─► Step 5: Proceed to app
        └─ SDKs initialized based on consent state

SDK Consent Propagation

Third-party SDKs in the CloudVault mobile app must respect user consent:

SDKPurposeData CollectedConsent RequiredPropagation Method
Firebase AnalyticsUsage analyticsEvents, screen views, device infopur_analytics_001FirebaseAnalytics.setAnalyticsCollectionEnabled(granted)
CrashlyticsCrash reportingStack traces, device statepur_crash_003FirebaseCrashlytics.setCrashlyticsCollectionEnabled(granted)
AppsFlyerAttributionIDFA/GAID, install referrerpur_advertising_002AppsFlyerLib.start() only if consented
Google AdMobAdvertisingIDFA/GAID, device infopur_advertising_002MobileAds.setRequestConfiguration() with consent

SDK Initialization Pattern

SDKs must not be initialized before consent is obtained. CloudVault SaaS Inc. implements a "consent gate":

  1. App launches → load only essential SDKs (no tracking)
  2. Consent flow completes → read consent state
  3. For each SDK: initialize only if corresponding purpose is consented
  4. If consent is later withdrawn: disable SDK data collection (where SDK API supports it) or defer to next app restart

IDFA and GAID Handling

IdentifierPlatformWhen to AccessWhen NOT to Access
IDFAiOSATT status = .authorized AND pur_advertising_002 consentedATT denied/restricted OR advertising consent not granted
GAIDAndroidpur_advertising_002 consented AND AD_ID permission declaredAdvertising consent not granted OR app targets children

Key Regulatory References

  • GDPR Article 5(3) via ePrivacy Directive — Consent for device storage access
  • GDPR Article 7 — Conditions for consent (apply to in-app consent)
  • Apple ATT Framework Documentation — App Tracking Transparency requirements
  • Apple App Store Review Guideline 5.1.2 — Data Use and Sharing
  • Google Play Developer Policy — Advertising ID and User Data
  • CNIL Mobile Privacy Guidelines (2023) — Mobile-specific consent requirements
  • EDPB Guidelines 05/2020 — Consent in mobile context

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Managing Mobile App Consent AI skill do?

Guide for mobile-specific consent management covering Apple ATT framework for iOS, Android permission model, in-app consent flows, SDK consent propagation to third-party libraries, and IDFA/GAID handling. Addresses platform-specific requirements alongside GDPR and ePrivacy compliance for mobile applications.

Why use Managing Mobile App Consent on TypingMind?

Because you install it once and use it with any model. Managing Mobile App Consent is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Managing Mobile App Consent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/plugins/consent-management-skills/skills/managing-mobile-app-consent. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Managing Mobile App Consent?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Managing Mobile App Consent?

As many as you like. As long as a model supports skills, you can use Managing Mobile App Consent with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Managing Mobile App Consent AI skill free?

Yes. It is published on GitHub by mukul975 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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