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 agentmods add skills/atstaeff/ai-agents/flutter-patternsnpx skills add atstaeff/ai-agents --skill flutter-patternsgit clone --depth 1 https://github.com/atstaeff/ai-agentsWhat 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 | $0.00020 | $0.03278 |
| Opus 5 | $0.00010 | $0.01639 |
| Sonnet 5 | $0.00004 | $0.00656 |
| Haiku 4.5 | $0.00002 | $0.00328 |
Grade A, and why
flutter-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 525 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Flutter Patterns Skill
Instructions for AI
Apply modern Flutter and Dart patterns, production-grade standards, and iOS-optimized practices. Use this skill when writing, reviewing, or refactoring Flutter/Dart code. Follow Clean Architecture with clear separation of presentation, domain, and data layers.
Core Patterns
1. BLoC Pattern — Events, States, BLoC
Separate user interactions (events) from UI representation (states) via a BLoC mediator.
// Events — what the user does
@freezed
class ProductEvent with _$ProductEvent {
const factory ProductEvent.load({String? category}) = _Load;
const factory ProductEvent.search(String query) = _Search;
const factory ProductEvent.addToCart(String productId) = _AddToCart;
}
// States — what the UI shows
@freezed
class ProductState with _$ProductState {
const factory ProductState.initial() = _Initial;
const factory ProductState.loading() = _Loading;
const factory ProductState.loaded({
required List<Product> products,
required String? activeCategory,
}) = _Loaded;
const factory ProductState.error(String message) = _Error;
}
// BLoC — transforms events into states
class ProductBloc extends Bloc<ProductEvent, ProductState> {
final GetProducts _getProducts;
final AddToCart _addToCart;
ProductBloc({
required GetProducts getProducts,
required AddToCart addToCart,
}) : _getProducts = getProducts,
_addToCart = addToCart,
super(const ProductState.initial()) {
on<_Load>(_onLoad);
on<_Search>(_onSearch);
on<_AddToCart>(_onAddToCart);
}
Future<void> _onLoad(_Load event, Emitter<ProductState> emit) async {
emit(const ProductState.loading());
final result = await _getProducts(GetProductsParams(category: event.category));
result.fold(
(failure) => emit(ProductState.error(failure.message)),
(products) => emit(ProductState.loaded(
products: products,
activeCategory: event.category,
)),
);
}
}
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.
- 2d ago First seen · 525 lines · 20 tokens per session scan A 3268f23ad281
flutter-patterns is a skill published in the GitHub repository atstaeff/ai-agents (2 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 3,278 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
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