TypingMindTypingMindThe best frontend for AI
Data Safety Form logo

Data Safety Form

Community
khadinakbarlabs
data-safety-form

Complete Google Play Data Safety form correctly to avoid rejection or misrepresentation flags. Use when the user says 'data safety form', 'play data safety', 'declare data collection android'.

Overview

Publisherkhadinakbarlabs
Repositoryexpo-mobile-app-builder
Skill namedata-safety-form
Stars
3
Forks
0
Bundled files
1
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Data Safety Form 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.
    https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/data-safety-form
  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/khadinakbarlabs/expo-mobile-app-builder.git /tmp/expo-mobile-app-builder
mkdir -p .claude/skills
cp -r /tmp/expo-mobile-app-builder/skills/data-safety-form .claude/skills/data-safety-form
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Data Safety Form 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 Data Safety Form 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 Data Safety Form 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.

Data Safety Form (Play)

Required for every Play submission. Tightened April 2025 — runtime traffic now audited against declarations.

The form sections

1. Data collection

For each data type, declare:

  • Collected? Yes/No
  • Optional or required for app function?
  • Linked to user identity?
  • Used for tracking?

2. Data types Apple cares about (mirror)

  • Personal info (name, email, address)
  • Financial info
  • Health & fitness
  • Photos & videos
  • Audio files
  • Messages
  • Contacts
  • Calendar
  • Location (precise/approximate)
  • App activity
  • Web browsing
  • App info & performance
  • Device & other IDs

3. Third-party SDK declarations

Each SDK gets disclosed:

SDKData sentDisclose
RevenueCatAnonymous user ID, purchase eventsApp info & performance
SentryCrash logs, device infoCrashes
PostHogUsage events, anonymizedApp activity
SupabaseAll account dataPer data type stored
OpenAI/AnthropicUser promptsApp activity, optionally personal
Firebase CrashlyticsCrashes, device infoCrashes
Google Sign-InIdentity tokensPersonal info

4. Sharing (broadened April 2025)

"Sharing" now includes:

  • Forwarding to your own backend (if it's then sent elsewhere)
  • Used by ML model that lives elsewhere
  • Sent for advertising (rare for indie)

Disclose ALL sharing — Play scans runtime to detect undeclared.

5. Security practices

  • Encryption in transit (HTTPS): yes
  • Encryption at rest: yes
  • Account deletion: in-app
  • Auditable security: based on industry standards

Common rejection patterns

  • "App actively collects [X] but didn't declare it" → Play scanner detected unrequested data type
  • "SDK [X] requires declaration of [Y]" → Play knows that SDK collects data you didn't declare
  • "Account deletion declared but not in-app" → check account-deletion-flow-android
  • "Data shared with [country] not disclosed" → server location matters

Audit yourself before submission

  1. List every SDK in package.json
  2. For each, check its Data Safety entry in Play's "SDK Index" (Play Console search)
  3. Cross-check: does your form match what those SDKs collect?

Tools

Play Console SDK Index: developer.android.com/google/play/sdk-console — shows what each SDK collects.

Pair with

  • play-ai-disclosure for AI-specific
  • generate-privacy-policy-android for the human-readable version

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 Data Safety Form AI skill do?

Complete Google Play Data Safety form correctly to avoid rejection or misrepresentation flags. Use when the user says 'data safety form', 'play data safety', 'declare data collection android'.

Why use Data Safety Form on TypingMind?

Because you install it once and use it with any model. Data Safety Form 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 Data Safety Form in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/khadinakbarlabs/expo-mobile-app-builder/tree/main/skills/data-safety-form. 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 Data Safety Form?

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 Data Safety Form?

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

Is the Data Safety Form AI skill free?

Yes. It is published on GitHub by khadinakbarlabs under the MIT 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.

Related AI Skills

View all
affaan-m logo

Django Patterns

affaan-m
CommunityPopular

Patrones de arquitectura Django, diseño de API REST con DRF, buenas prácticas de ORM, caché, señales, middleware y aplicaciones Django de nivel producción.

39.1K
261.1K
Instructions
View
affaan-m logo

Quarkus Patterns

affaan-m
CommunityPopular

Patrones de arquitectura Quarkus 3.x LTS con Camel para mensajería, diseño de API RESTful, servicios CDI, acceso a datos con Panache y procesamiento asíncrono.

39.1K
261.1K
Instructions
View
affaan-m logo

Quarkus Security

affaan-m
CommunityPopular

Buenas prácticas de seguridad en Quarkus para autenticación, autorización, JWT/OIDC, RBAC, validación de entrada, CSRF, gestión de secretos y seguridad de dependencias.

39.1K
261.1K
Instructions
View
affaan-m logo

Quarkus Verification

affaan-m
CommunityPopular

Bucle de verificación para proyectos Quarkus: build, análisis estático, pruebas con cobertura, escaneos de seguridad, compilación nativa y revisión de diff antes del lanzamiento o PR.

39.1K
261.1K
Instructions
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇