android-clean-architecture

android-clean-architecture is a skill for Claude Code, Codex from JunMystery/Agent-Guidance-Python. It costs 34 tokens per session (1,994 once invoked), scanned A, a copy of android-clean-architecture, MIT.

A way to organize Android and Kotlin Multiplatform software into separate layers for screens, business rules, data access, and shared utilities. Kotlin Multiplatform lets some Kotlin code run on multiple platforms.

In plain words
What is it for?
It helps structure modules, design data flow, implement use cases and repositories, and set up dependency injection with Koin or Hilt. It also covers Room, SQLDelight, and Ktor in a layered project.
Why use it?
It helps keep user-interface code, business decisions, databases, and network requests from becoming tangled. Clear dependency rules make larger projects easier to change and test.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/junmystery/agent-guidance-python/android-clean-architecture
Any agent
npx skills add JunMystery/Agent-Guidance-Python --skill android-clean-architecture
Clone the repo
git clone --depth 1 https://github.com/JunMystery/Agent-Guidance-Python

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for android-clean-architecture

README.md
[![agentmods](https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/android-clean-architecture.svg)](https://agentmods.dev/skills/junmystery/agent-guidance-python/android-clean-architecture)
Your own site
<a href="https://agentmods.dev/skills/junmystery/agent-guidance-python/android-clean-architecture"><img src="https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/android-clean-architecture.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,994 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 91% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00034 $0.01994
Opus 5 $0.00017 $0.00997
Sonnet 5 $0.00007 $0.00399
Haiku 4.5 $0.00003 $0.00199

Measured 3d ago against content hash b3f84e98979f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 3d 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.

Origin

This is a copy

91% identical to android-clean-architecture — 26 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.

skills/android-clean-architecture/SKILL.md · 340 lines

How it starts

The opening of the file, as written. The whole thing — 340 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)
    }
}

Read the full file on GitHub · 340 lines

Changes

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.

  1. 3d ago First seen · 340 lines · 34 tokens per session scan A b3f84e98979f

Subscribe to this mod's changes

android-clean-architecture is a skill published in the GitHub repository JunMystery/Agent-Guidance-Python (2 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 1,994 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to android-clean-architecture, differing in 26 lines, and is treated as a copy.

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