firebase-data-connect

firebase-data-connect is a skill for Claude Code from evanca/flutter-ai-rules. It costs 31 tokens per session (987 once invoked), scanned A, original, MIT.

A set of instructions for connecting a Flutter app to Firebase Data Connect, a service for storing app data and accessing it with GraphQL. It covers data schemas, generated code, offline use, and security rules.

In plain words
What is it for?
Use it to configure Data Connect, define schemas, write queries and changes, call generated Flutter code, handle offline or failed requests, and apply security rules.
Why use it?
It helps avoid mistakes when setting up the connection, defining data operations, handling unreliable networks, and controlling access to data.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the flutter-ai-skills plugin — 36 skills shipped together

Good fit Use it to configure Data Connect, define schemas, write queries and changes, call generated Flutter code, handle offline or failed requests, and apply security rules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/evanca/flutter-ai-rules/firebase-data-connect
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add evanca/flutter-ai-rules --skill firebase-data-connect
Clone the repo
git clone --depth 1 https://github.com/evanca/flutter-ai-rules

Made for: Claude Code.

Or install flutter-ai-skills, the plugin that ships this one along with the rest of its 36 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for firebase-data-connect

README.md
[![agentmods](https://agentmods.dev/badge/skills/evanca/flutter-ai-rules/firebase-data-connect/github.svg)](https://agentmods.dev/skills/evanca/flutter-ai-rules/firebase-data-connect)
Your own site
<a href="https://agentmods.dev/skills/evanca/flutter-ai-rules/firebase-data-connect"><img src="https://agentmods.dev/badge/skills/evanca/flutter-ai-rules/firebase-data-connect/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for firebase-data-connect

Your own site · 80×15
<a href="https://agentmods.dev/skills/evanca/flutter-ai-rules/firebase-data-connect"><img src="https://agentmods.dev/badge/skills/evanca/flutter-ai-rules/firebase-data-connect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 987 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00031 $0.00987
Opus 5.5 $0.00012 $0.00395
Sonnet 5.5 $0.00006 $0.00197
Haiku 4.5 $0.00003 $0.00099

Measured 1mo ago against content hash 7babc87c632e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

firebase-data-connect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/firebase-data-connect/SKILL.md · 186 lines

How it starts

The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Firebase Data Connect Skill

This skill defines how to correctly use Firebase Data Connect in Flutter applications.

When to Use

Use this skill when:

  • Setting up and configuring Firebase Data Connect in a Flutter project.
  • Designing schemas, queries, and mutations for Data Connect.
  • Implementing generated SDK calls for typed queries and mutations.
  • Handling network failures, data inconsistencies, and offline scenarios.
  • Applying security and performance best practices.

1. Setup and Configuration

Step 1: Install the package

flutter pub add firebase_data_connect

Step 2: Import and initialize

import 'package:firebase_data_connect/firebase_data_connect.dart';
import 'package:firebase_core/firebase_core.dart';
import 'firebase_options.dart';

await Firebase.initializeApp(
  options: DefaultFirebaseOptions.currentPlatform,
);

Step 3: Define a schema in dataconnect/schema/schema.gql

type Movie @table {
  id: UUID! @default(expr: "uuidV4()")
  title: String!
  releaseYear: Int
  genre: String
  rating: Float
  description: String
}

Step 4: Define queries and mutations in dataconnect/connector/queries.gql

query ListMovies @auth(level: PUBLIC) {
  movies {
    id
    title
    releaseYear
    genre
    rating
  }
}

mutation CreateMovie($title: String!, $releaseYear: Int, $genre: String) @auth(level: USER) {
  movie_insert(data: {
    title: $title
    releaseYear: $releaseYear
    genre: $genre
  })
}

mutation DeleteMovie($id: UUID!) @auth(level: USER) {
  movie_delete(id: $id)
}

Step 5: Generate the typed Flutter SDK

flutterfire generate

This produces typed Dart classes for each query and mutation.

Platform support:

Platform Support
iOS Full
Android Full
Web Full
Other platforms Not supported

2. Executing Queries and Mutations

Use the generated SDK to execute typed queries and mutations:

// Execute a query
final result = await ListMoviesQuery().execute();
final movies = result.data.movies;

// Execute a mutation
await CreateMovieMutation(title: 'Inception', releaseYear: 2010, genre: 'Sci-Fi')
    .execute();

// Delete by ID
await DeleteMovieMutation(id: movieId).execute();

Read the full file on GitHub · 186 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 186 lines · 31 tokens per session scan A 7babc87c632e

Subscribe to this mod's changes

firebase-data-connect is a skill published in the GitHub repository evanca/flutter-ai-rules (653 stars, last pushed 9d ago), licensed MIT. It adds 31 tokens to every session and 987 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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