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.
npx skills add evanca/flutter-ai-rules --skill firebase-data-connectgit clone --depth 1 https://github.com/evanca/flutter-ai-rulesWrote 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.
[](https://agentmods.dev/skills/evanca/flutter-ai-rules/firebase-data-connect)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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();
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.
- 1mo ago First seen · 186 lines · 31 tokens per session scan A 7babc87c632e
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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