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/launch52-ai/flutter-template/datanpx skills add launch52-ai/flutter-template --skill datagit clone --depth 1 https://github.com/launch52-ai/flutter-templateWhat 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 | $0.00046 | $0.01609 |
| Opus 5 | $0.00023 | $0.00805 |
| Sonnet 5 | $0.00009 | $0.00322 |
| Haiku 4.5 | $0.00005 | $0.00161 |
Grade A, and why
data 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 yesterday.
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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data - Data Layer Generator
Generate data layer components that implement domain interfaces and handle external data sources.
Philosophy
The data layer is the only place for:
- Freezed models with JSON serialization
- API field mapping (
@JsonKey) - Repository implementations
- Data source abstractions (remote, local, cache)
This keeps the domain pure while handling all serialization and external communication here.
When to Use This Skill
- After
/domainhas created entities and repository interfaces - When implementing API integration
- When adding local storage/caching
- When you have backend code or OpenAPI specs as reference
- User asks to "implement repository", "create DTOs", or "wire up API"
Note: This skill replaces the former
/apiskill. All API integration functionality is now here.
What This Skill Creates
lib/features/{feature}/data/
├── models/
│ ├── {entity}_model.dart # Freezed DTO with JSON
│ └── {entity}_model.g.dart # Generated JSON code
├── repositories/
│ └── {feature}_repository_impl.dart # Implements domain interface
└── data_sources/
├── {feature}_remote_data_source.dart # API calls
└── {feature}_local_data_source.dart # Local storage (optional)
Input Sources
| Source | What Claude Extracts |
|---|---|
Feature spec (.spec.md) |
Endpoints, DTOs, storage needs |
| Backend code (NestJS, Express) | Controllers, DTOs, types |
| OpenAPI/Swagger spec | Paths, schemas, request/response shapes |
| Endpoint descriptions | GET /users → User[] |
Workflow
Step 1: Locate Requirements
Check for:
lib/features/{feature}/.spec.md # Feature specification
lib/features/{feature}/domain/ # Domain entities/repository interface
If domain layer doesn't exist, ask user to run /domain {feature} first.
Step 2: Analyze Data Sources
From spec:
- API Endpoints - Section 3.1 (URLs, methods, request/response shapes)
- Local Storage - Section 3.2 (what to persist, cache strategy)
- Field Mappings - API field names vs domain field names
What ships with it
47 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- advanced-patterns.md 7.3 KB
- examples.md 7.7 KB
- patterns-guide.md 4.1 KB
- reference/auth/auth_interceptor.dart 3.5 KB
- reference/caching/memory_cache.dart 2.5 KB
- reference/cancellation/cancellable_repository.dart 3.1 KB
- reference/data_sources/local_data_source_prefs.dart 1.5 KB
- reference/data_sources/local_data_source_secure.dart 1.9 KB
- reference/data_sources/remote_data_source.dart 1.5 KB
- reference/examples/posts/data/create_post_request.dart 815 B
- reference/examples/posts/data/post_model.dart 2.2 KB
- reference/examples/posts/data/posts_repository_impl.dart 4.3 KB
- reference/examples/posts/data/update_post_request.dart 836 B
- reference/examples/posts/domain/post.dart 1.1 KB
- reference/examples/posts/domain/posts_repository.dart 992 B
- reference/examples/products/data/product_model.dart 2.5 KB
- reference/examples/products/domain/product.dart 1.6 KB
- reference/examples/products/domain/products_repository.dart 647 B
- reference/examples/tasks/data/create_task_request.dart 838 B
- reference/examples/tasks/data/task_model.dart 1.6 KB
- reference/examples/tasks/domain/task.dart 1.3 KB
- reference/examples/tasks/domain/tasks_repository.dart 938 B
- reference/failures/dio_error_handler.dart 1.8 KB
- reference/failures/failure_mapper.dart 2.6 KB
- reference/failures/failures.dart 2.1 KB
- reference/models/custom_converter_model.dart 2.3 KB
- reference/models/nested_model.dart 2.3 KB
- reference/models/paginated_response.dart 1.1 KB
- reference/models/request_models.dart 1.3 KB
- reference/models/simple_model.dart 1.2 KB
- reference/optimistic/optimistic_updates.dart 3.7 KB
- reference/pagination/cursor_result.dart 1.5 KB
- reference/pagination/infinite_scroll_provider.dart 2.7 KB
- reference/pagination/paginated_result.dart 1.8 KB
- reference/providers/repository_provider.dart 1.5 KB
- reference/repositories/basic_repository_impl.dart 1.8 KB
- reference/repositories/cached_repository_impl.dart 2.5 KB
- reference/repositories/mock_repository.dart 2.3 KB
- reference/retry/retry_config.dart 670 B
- reference/retry/retry_interceptor.dart 2.1 KB
- reference/retry/with_retry.dart 2.1 KB
- reference/testing/mock_dio.dart 1.8 KB
- reference/testing/repository_test_example.dart 3.0 KB
- reference/testing/widget_test_example.dart 4.0 KB
- reference/upload/upload_notifier.dart 2.1 KB
- reference/upload/upload_with_progress.dart 1.2 KB
- scripts/check.dart 28 KB
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.
- yesterday First seen · 189 lines · 46 tokens per session scan A 839d533df519
data is a skill published in the GitHub repository launch52-ai/flutter-template (2 stars, last pushed 6mo ago), licensed MIT. It adds 46 tokens to every session and 1,609 once invoked, about $0.0002 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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