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/domainnpx skills add launch52-ai/flutter-template --skill domaingit 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 | $0.00040 | $0.01274 |
| Opus 5 | $0.00020 | $0.00637 |
| Sonnet 5 | $0.00008 | $0.00255 |
| Haiku 4.5 | $0.00004 | $0.00127 |
Grade A, and why
domain 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain - Domain Layer Generator
Generate domain layer components from feature specifications. Creates the foundation that data and presentation layers build upon.
Philosophy
The domain layer is pure Dart with zero external dependencies:
- No Flutter
- No Freezed (that's for data layer DTOs)
- No JSON serialization
- Only language primitives
This ensures the domain is:
- Framework-agnostic
- Easily testable
- Stable (changes least frequently)
When to Use This Skill
- After
/feature-inithas created the folder structure - When you need to fill in entities, enums, or repository interfaces
- When adding new domain concepts to an existing feature
- User asks to "create domain", "generate entities", or "create repository interface"
What This Skill Creates
lib/features/{feature}/domain/
├── entities/
│ ├── {entity}.dart # Pure Dart class
│ └── {value_object}.dart # Value objects (if needed)
├── enums/
│ └── {enum_name}.dart # Enum definitions
└── repositories/
└── {feature}_repository.dart # Abstract interface
Workflow
Step 1: Locate the Spec
Look for:
lib/features/{feature}/.spec.md # If feature exists
docs/features/{feature}.spec.md # If feature is new
If no spec exists, ask user to run /plan {feature} first.
Step 2: Extract Domain Requirements
From the spec, identify:
- Entities - Section 2.1 (fields, types, required/optional)
- Enums - Section 2.2 (values and descriptions)
- Repository Interface - Section 2.3 (methods and signatures)
- Value Objects - Composite types like LatLng, Money
- Business Rules - Validation, computed properties
Step 3: Generate Code
Use reference files in reference/ directory as templates:
| Component | Reference File |
|---|---|
| Simple entity | reference/entities/simple_entity.dart |
| Entity with computed | reference/entities/entity_with_computed.dart |
| Entity with equality | reference/entities/entity_with_equality.dart |
| Entity with copyWith | reference/entities/entity_with_copywith.dart |
| LatLng value object | reference/value_objects/lat_lng.dart |
| Money value object | reference/value_objects/money.dart |
| Simple enum | reference/enums/simple_enum.dart |
| Enum with properties | reference/enums/enum_with_properties.dart |
| Enum with methods | reference/enums/enum_with_methods.dart |
| Basic CRUD repository | reference/repositories/basic_crud_repository.dart |
| Paginated repository | reference/repositories/paginated_repository.dart |
| Offline repository | reference/repositories/offline_repository.dart |
What ships with it
15 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.
- examples.md 2.3 KB
- patterns-guide.md 3.6 KB
- reference/entities/entity_with_computed.dart 1.3 KB
- reference/entities/entity_with_copywith.dart 1.8 KB
- reference/entities/entity_with_equality.dart 1.4 KB
- reference/entities/simple_entity.dart 701 B
- reference/enums/enum_with_methods.dart 925 B
- reference/enums/enum_with_properties.dart 654 B
- reference/enums/simple_enum.dart 486 B
- reference/repositories/basic_crud_repository.dart 947 B
- reference/repositories/offline_repository.dart 1.3 KB
- reference/repositories/paginated_repository.dart 1.1 KB
- reference/value_objects/lat_lng.dart 1.0 KB
- reference/value_objects/money.dart 1.6 KB
- scripts/check.dart 19 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.
- 2d ago First seen · 166 lines · 40 tokens per session scan A fe15f385d204
domain is a skill published in the GitHub repository launch52-ai/flutter-template (2 stars, last pushed 6mo ago), licensed MIT. It adds 40 tokens to every session and 1,274 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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