android-data-layer

android-data-layer is a skill for Claude Code, Codex from new-silvermoon/awesome-android-agent-skills. It costs 29 tokens per session (445 once invoked), scanned A, original, Apache-2.0.

A guide for building the part of an Android app that reads and stores data locally and fetches it from a server. It uses Room for the local database, Retrofit for network requests, and a repository to coordinate both sources.

In plain words
What is it for?
Use it to design local storage, API calls, error handling, observable data streams, and offline-first synchronization.
Why use it?
It helps apps keep showing cached data when the network is unavailable and synchronize it with newer server data.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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/new-silvermoon/awesome-android-agent-skills/android-data-layer
Any agent
npx skills add new-silvermoon/awesome-android-agent-skills --skill android-data-layer
Clone the repo
git clone --depth 1 https://github.com/new-silvermoon/awesome-android-agent-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-data-layer

README.md
[![agentmods](https://agentmods.dev/badge/skills/new-silvermoon/awesome-android-agent-skills/android-data-layer.svg)](https://agentmods.dev/skills/new-silvermoon/awesome-android-agent-skills/android-data-layer)
Your own site
<a href="https://agentmods.dev/skills/new-silvermoon/awesome-android-agent-skills/android-data-layer"><img src="https://agentmods.dev/badge/skills/new-silvermoon/awesome-android-agent-skills/android-data-layer.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 445 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00029 $0.00445
Opus 5 $0.00015 $0.00222
Sonnet 5 $0.00006 $0.00089
Haiku 4.5 $0.00003 $0.00044

Measured 6d ago against content hash 09222d4bce00, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

android-data-layer 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 6d 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

Copies of this mod

1 near-identical copy found in the catalogue:

.github/skills/architecture/android-data-layer/SKILL.md · 52 lines

What it actually says

Android Data Layer & Offline-First

Instructions

The Data Layer coordinates data from multiple sources.

1. Repository Pattern

  • Role: Single Source of Truth (SSOT).
  • Logic: The repository decides whether to return cached data or fetch fresh data.
  • Implementation:
    class NewsRepository @Inject constructor(
        private val newsDao: NewsDao,
        private val newsApi: NewsApi
    ) {
        // Expose data from Local DB as the source of truth
        val newsStream: Flow<List<News>> = newsDao.getAllNews()
    
        // Sync operation
        suspend fun refreshNews() {
            val remoteNews = newsApi.fetchLatest()
            newsDao.insertAll(remoteNews)
        }
    }
    

2. Local Persistence (Room)

  • Usage: Primary cache and offline storage.
  • Entities: Define @Entity data classes.
  • DAOs: Return Flow<T> for observable data.

3. Remote Data (Retrofit)

  • Usage: Fetching data from backend.
  • Response: Use suspend functions in interfaces.
  • Error Handling: Wrap network calls in try-catch blocks or a Result wrapper to handle exceptions (NoInternet, 404, etc.) gracefully.

4. Synchronization

  • Read: "Stale-While-Revalidate". Show local data immediately, trigger a background refresh.
  • Write: "Outbox Pattern" (Advanced). Save local change immediately, mark as "unsynced", use WorkManager to push changes to server.

5. Dependency Injection

  • Bind Repository interfaces to implementations in a Hilt Module.
    @Binds
    abstract fun bindNewsRepository(impl: OfflineFirstNewsRepository): NewsRepository
    
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. 6d ago First seen · 52 lines · 29 tokens per session scan A 09222d4bce00

Subscribe to this mod's changes

android-data-layer is a skill published in the GitHub repository new-silvermoon/awesome-android-agent-skills (951 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 445 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 2026-08-30.

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