android-clean-architecture

android-clean-architecture is a skill for Claude Code, Codex from FridrichMethod/awesome-skills. It costs 34 tokens per session (1,994 once invoked), scanned A, original, no licence file.

A software-structure guide for Android and Kotlin Multiplatform projects based on Clean Architecture. It separates application rules, use cases, repositories, and data access into modules with clear dependencies.

In plain words
What is it for?
It is for designing Android and Kotlin Multiplatform module layouts, repositories, use cases, and data layers.
Why use it?
It helps keep mobile code organised as the application grows and makes the parts easier to replace or test independently.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for designing Android and Kotlin Multiplatform module layouts, repositories, use cases, and data layers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fridrichmethod/awesome-skills/android-clean-architecture
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.

Any agent
npx skills add FridrichMethod/awesome-skills --skill android-clean-architecture
Clone the repo
git clone --depth 1 https://github.com/FridrichMethod/awesome-skills

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/fridrichmethod/awesome-skills/android-clean-architecture/github.svg)](https://agentmods.dev/skills/fridrichmethod/awesome-skills/android-clean-architecture)
Your own site
<a href="https://agentmods.dev/skills/fridrichmethod/awesome-skills/android-clean-architecture"><img src="https://agentmods.dev/badge/skills/fridrichmethod/awesome-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.

agentmods 80×15 button for android-clean-architecture

Your own site · 80×15
<a href="https://agentmods.dev/skills/fridrichmethod/awesome-skills/android-clean-architecture"><img src="https://agentmods.dev/badge/skills/fridrichmethod/awesome-skills/android-clean-architecture.svg" alt="Reviewed on agentmods" width="80" 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. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found 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 5.1 $0.00034 $0.01994
Opus 5.5 $0.00014 $0.00798
Sonnet 5.5 $0.00007 $0.00399
Haiku 4.5 $0.00003 $0.00199

Measured 1mo ago against content hash b3f84e98979f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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.

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

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 1mo 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 FridrichMethod/awesome-skills (15 stars, last pushed today), with no licence file. It adds 34 tokens to every session and 1,994 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.

Related

Other skills, from other repositories

compose-multiplatform-patterns

Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI.

hashgraph-online/awesome-codex-plugins · 37 tokens

apify-app-store-intelligence

Pull structured Apple App Store and Google Play data — app metadata, price, rating, the 1–5★ ratings histogram, version, developer, and reviews — and watch it for changes over time. Use when the user asks to look up an iOS or Android app by App ID, bundle ID, package name or app name, compare a set of competitor apps…

apify/awesome-skills · 191 tokens

distill-concept-books

A workflow for turning books about concepts, theories, or analysis methods into reusable task instructions. It scans document images, links claims to evidence, and checks the result through human review.

xuzhougeng/wisp-science · 210 tokens

remote-compute-ssh

Submit recoverable SSH-direct research Runs with live progress cards and model-free monitoring, including Slurm, PBS, LSF, and Grid Engine batch jobs from a cluster login node.

xuzhougeng/wisp-science · 42 tokens

compute-env-setup

Set up and validate a reproducible Python or R environment on a Wisp execution context. Use for a selected local, WSL, or direct SSH context when installing scientific packages, configuring caches, recording interpreter activation, or producing an environment smoke test. Do not use for scheduler clusters or managed…

xuzhougeng/wisp-science · 72 tokens

[object Object]

This tree defaults to review. Before executing any candidate rule, the host governance process must prove its lifecycle and private provenance from an authoritative record that binds the current complete tree hash. If an accepted or deployed record cannot be proven, uniquely locate the owning distillation, candidate…

xuzhougeng/wisp-science · 8 tokens