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Firebase App Check

Community
evanca
firebase-app-check

Use when implementing app attestation, configuring App Check providers, setting up debug tokens, enabling backend enforcement, or managing token refresh.

Overview

Publisherevanca
Repositoryflutter-ai-rules
Skill namefirebase-app-check
Stars
651
Forks
67
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Firebase App Check 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/evanca/flutter-ai-rules/tree/main/skills/firebase-app-check
  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/evanca/flutter-ai-rules.git /tmp/flutter-ai-rules
mkdir -p .claude/skills
cp -r /tmp/flutter-ai-rules/skills/firebase-app-check .claude/skills/firebase-app-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Firebase App Check 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 Firebase App Check 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 Firebase App Check 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.

Firebase App Check Skill

This skill defines how to correctly implement Firebase App Check in Flutter applications, covering provider selection, debug configuration, enforcement rollout, and security hardening.

When to Use

Use this skill when:

  • Setting up and activating Firebase App Check in a Flutter project.
  • Selecting the right attestation provider for each platform.
  • Configuring debug providers for development, testing, and CI.
  • Enabling enforcement and monitoring App Check metrics.
  • Implementing token refresh handling and custom TTL configuration.

1. Setup and Configuration

flutter pub add firebase_app_check
dart
import 'package:firebase_app_check/firebase_app_check.dart';

Initialize App Check after Firebase.initializeApp() and before using any Firebase services:

dart
await Firebase.initializeApp();
await FirebaseAppCheck.instance.activate(
  webProvider: ReCaptchaV3Provider('recaptcha-v3-site-key'),
  androidProvider: AndroidProvider.playIntegrity,
  appleProvider: AppleProvider.deviceCheck,
);

Setup Checklist

  1. Register apps in the Firebase console under Project Settings > App Check.
  2. For web, obtain a reCAPTCHA v3 site key from the Firebase console.
  3. Confirm activation completes before any Firestore, Storage, or RTDB calls.
  4. Consider setting a custom TTL — shorter TTLs are more secure but consume quota faster.

Native FirebaseApp.configure() on Apple Platforms

Avoid calling FirebaseApp.configure() natively in your AppDelegate — Firebase.initializeApp() already configures the native default app. If you must call it, install your AppCheckProviderFactory before configure(); otherwise the Apple SDK locks in DeviceCheck on physical devices and the appleProvider passed to activate() (including AppleProvider.debug) is silently ignored. This is easiest to miss because simulators already default to the debug provider. activate() on Android is unaffected. See flutterfire#18613.


2. Provider Selection

Android:

ProviderUse case
AndroidProvider.playIntegrityProduction (default)
AndroidProvider.debugDevelopment / CI only

Apple (iOS / macOS):

ProviderUse case
AppleProvider.deviceCheckProduction default (iOS 11+, macOS 10.15+)
AppleProvider.appAttestEnhanced security (iOS 14+, macOS 14+)
AppleProvider.appAttestWithDeviceCheckFallbackApp Attest with Device Check fallback
AppleProvider.debugDevelopment / CI only

Web:

ProviderUse case
ReCaptchaV3ProviderStandard reCAPTCHA v3
ReCaptchaEnterpriseProviderEnhanced with additional features

Android note: For certain Android devices, enable "Meets basic device integrity" in the Google Play console to ensure proper App Check functionality.


3. Development and Testing

Use debug providers during development to run in emulators or CI environments:

dart
await Firebase.initializeApp();
await FirebaseAppCheck.instance.activate(
  androidProvider: AndroidProvider.debug,
  appleProvider: AppleProvider.debug,
);

Platform-Specific Debug Setup

iOS: Enable debug logging by adding -FIRDebugEnabled to Arguments Passed on Launch in Xcode. The debug token appears in the console output. On physical devices, AppleProvider.debug is ignored if your AppDelegate calls FirebaseApp.configure() natively — see the native configure() note in Setup and Configuration.

Android: The debug token prints to logcat on first run. Filter by DebugAppCheckProvider.

Web: Set self.FIREBASE_APPCHECK_DEBUG_TOKEN = true; in web/index.html before Firebase scripts load.

Register Debug Tokens

  1. Copy the debug token from the device/emulator console output.
  2. In the Firebase console, navigate to App Check > Apps > Manage debug tokens.
  3. Add the token. It is immediately active for that app.

Token Listener for Custom Backends

dart
FirebaseAppCheck.instance.onTokenChange.listen((token) {
  // Attach token to custom backend requests
  // e.g., set as Authorization header
});
  • Never use debug providers or share debug tokens in production builds.
  • Keep debug tokens private — do not commit them to public repositories.
  • Revoke compromised debug tokens immediately from the Firebase console.

4. Enforcement Rollout

Follow this sequence to avoid disrupting legitimate users:

  1. Deploy App Check activation code to all app versions.
  2. Monitor App Check metrics in the Firebase console — wait until most traffic shows valid tokens.
  3. Enable enforcement gradually, starting with non-critical Firebase services (e.g., Cloud Storage before Firestore).
  4. Verify that unverified request percentage drops to near zero before enforcing on critical services.
  • Once enforcement is enabled, only apps with valid App Check tokens can access protected Firebase resources.
  • Use App Check in combination with Firebase Security Rules for defense in depth.
  • Implement proper error handling for App Check verification failures — surface a user-friendly message rather than a raw error.

5. Security Best Practices

  • Never disable App Check in production builds once enabled.
  • Implement a fallback mechanism for App Check verification failures (e.g., retry with exponential backoff).
  • Regularly review App Check metrics to identify potential abuse patterns.
  • App Check tokens are automatically refreshed at approximately half the TTL duration.
  • For high-security applications, use the shortest practical TTL.
  • Implement server-side verification for critical operations using the Firebase Admin SDK:
// Node.js Admin SDK example for verifying App Check tokens
const appCheckToken = req.header('X-Firebase-AppCheck');
const appCheckClaims = await getAppCheck().verifyToken(appCheckToken);

References

Frequently asked questions

What does the Firebase App Check AI skill do?

Use when implementing app attestation, configuring App Check providers, setting up debug tokens, enabling backend enforcement, or managing token refresh.

Why use Firebase App Check on TypingMind?

Because you install it once and use it with any model. Firebase App Check 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 Firebase App Check in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/evanca/flutter-ai-rules/tree/main/skills/firebase-app-check. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Firebase App Check?

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 Firebase App Check?

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

Is the Firebase App Check AI skill free?

Yes. It is published on GitHub by evanca 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.

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