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 prasad-vennam/Awesome-Android-AI-Agent-Skills --skill android-clean-architecturegit clone --depth 1 https://github.com/prasad-vennam/Awesome-Android-AI-Agent-SkillsWrote 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/prasad-vennam/awesome-android-ai-agent-skills/android-clean-architecture)<a href="https://agentmods.dev/skills/prasad-vennam/awesome-android-ai-agent-skills/android-clean-architecture"><img src="https://agentmods.dev/badge/skills/prasad-vennam/awesome-android-ai-agent-skills/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/prasad-vennam/awesome-android-ai-agent-skills/android-clean-architecture"><img src="https://agentmods.dev/badge/skills/prasad-vennam/awesome-android-ai-agent-skills/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 | $0.00024 | $0.01082 |
| Opus 5 | $0.00012 | $0.00541 |
| Sonnet 5 | $0.00005 | $0.00216 |
| Haiku 4.5 | $0.00002 | $0.00108 |
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 12d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Android Clean Architecture Excellence 🏗️
Standardized architectural patterns for scalable, testable, and maintainable Android applications.
⚡ When to Use
- App Structure: Planning or refactoring the module/package layout.
- Data Fetching: Implementing Retrofit or Room repositories.
- Business Logic: Writing Use Cases or Interactors.
- UI Architecture: Choosing between MVI, MVVM, or custom patterns.
- State Management: Consuming data from Flow/StateFlow in ViewModels.
🏗️ The Three Pillars
1. Presentation Layer (UI & ViewModels)
- Pattern: Always use Jetpack ViewModel.
- State: Use
MutableStateFlowin ViewModel. In Compose UI, ALWAYS collect usingcollectAsStateWithLifecycle()(requiresandroidx.lifecycle:lifecycle-runtime-compose). NEVER usecollectAsState()as it wastes resources in the background. - MVI/MVVM: Prefer State + Events + Effects for complex screens.
- Anti-Pattern (No Stubs): NEVER generate stubbed empty callbacks (e.g.,
onClicked = { /* Future implementation */ }) when scaffolding. If tasked to build a feature, ALWAYS implement the full event flow from UI to ViewModel to Repository. - Navigation: Use Compose Navigation with Safe Args (Type-safe routing via Kotlinx Serialization) instead of manual screen swapping.
2. Domain Layer (The Core)
-
Rule: NO Android dependencies (except maybe
@Inject). Pure Kotlin. -
Use Cases: Each Use Case should have a single responsibility.
class GetUserUseCase @Inject constructor(private val repository: UserRepository) { operator fun invoke(id: String): Flow<User> = repository.getUser(id) } -
Models: Pure Kotlin data classes (Domain-specific).
-
CRITICAL ANTI-HALLUCINATION GUARD: NEVER assume or guess the properties of a data class (e.g., guessing a
TodoItemhas adueDate). You MUST explicitly read the data classes indomain/model/before writing ViewModel or Repository mapping logic to preventUnresolved referenceor constructor errors.
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.
- 12d ago First seen · 97 lines · 24 tokens per session scan A 8349bc0f3863
android-clean-architecture is a skill published in the GitHub repository prasad-vennam/Awesome-Android-AI-Agent-Skills (9 stars, last pushed 5mo ago), licensed MIT. It adds 24 tokens to every session and 1,082 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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