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 gongyijie85/dsh-ecc --skill android-clean-architecturegit clone --depth 1 https://github.com/gongyijie85/dsh-eccWrote 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/gongyijie85/dsh-ecc/android-clean-architecture)<a href="https://agentmods.dev/skills/gongyijie85/dsh-ecc/android-clean-architecture"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/android-clean-architecture/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/gongyijie85/dsh-ecc/android-clean-architecture"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/android-clean-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00053 | $0.02016 |
| Opus 5 | $0.00026 | $0.01008 |
| Sonnet 5 | $0.00011 | $0.00403 |
| Haiku 4.5 | $0.00005 | $0.00202 |
Grade A, and why
android-clean-architecture 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 10d 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.
This is a copy
94% identical to android-clean-architecture — 27 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Android Clean Architecture
Clean Architecture patterns for Android and KMP projects. Covers module boundaries, dependency inversion, UseCase/Repository patterns, and data layer design with Room, SQLDelight, and Ktor.
When to Activate
- Structuring Android or KMP project modules
- Implementing UseCases, Repositories, or DataSources
- Designing data flow between layers (domain, data, presentation)
- Setting up dependency injection with Koin or Hilt
- Working with Room, SQLDelight, or Ktor in a layered architecture
Module Structure
Recommended Layout
project/
├── app/ # Android entry point, DI wiring, Application class
├── core/ # Shared utilities, base classes, error types
├── domain/ # UseCases, domain models, repository interfaces (pure Kotlin)
├── data/ # Repository implementations, DataSources, DB, network
├── presentation/ # Screens, ViewModels, UI models, navigation
├── design-system/ # Reusable Compose components, theme, typography
└── feature/ # Feature modules (optional, for larger projects)
├── auth/
├── settings/
└── profile/
Dependency Rules
app → presentation, domain, data, core
presentation → domain, design-system, core
data → domain, core
domain → core (or no dependencies)
core → (nothing)
Critical: domain must NEVER depend on data, presentation, or any framework. It contains pure Kotlin only.
Domain Layer
UseCase Pattern
Each UseCase represents one business operation. Use operator fun invoke for clean call sites:
class GetItemsByCategoryUseCase(
private val repository: ItemRepository
) {
suspend operator fun invoke(category: String): Result<List<Item>> {
return repository.getItemsByCategory(category)
}
}
// Flow-based UseCase for reactive streams
class ObserveUserProgressUseCase(
private val repository: UserRepository
) {
operator fun invoke(userId: String): Flow<UserProgress> {
return repository.observeProgress(userId)
}
}
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.
- 10d ago First seen · 341 lines · 53 tokens per session scan A 20cbb9d77784
android-clean-architecture is a skill published in the GitHub repository gongyijie85/dsh-ecc (7 stars, last pushed 3d ago), licensed MIT. It adds 53 tokens to every session and 2,016 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to android-clean-architecture, differing in 27 lines, and is treated as a copy.
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