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 agentmods add skills/new-silvermoon/awesome-android-agent-skills/android-data-layernpx skills add new-silvermoon/awesome-android-agent-skills --skill android-data-layergit clone --depth 1 https://github.com/new-silvermoon/awesome-android-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/new-silvermoon/awesome-android-agent-skills/android-data-layer)<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>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 | $0.00029 | $0.00445 |
| Opus 5 | $0.00015 | $0.00222 |
| Sonnet 5 | $0.00006 | $0.00089 |
| Haiku 4.5 | $0.00003 | $0.00044 |
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- data-layer — 97% identical, 2 lines differ
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
@Entitydata classes. - DAOs: Return
Flow<T>for observable data.
3. Remote Data (Retrofit)
- Usage: Fetching data from backend.
- Response: Use
suspendfunctions in interfaces. - Error Handling: Wrap network calls in
try-catchblocks or aResultwrapper 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
WorkManagerto push changes to server.
5. Dependency Injection
- Bind Repository interfaces to implementations in a Hilt Module.
@Binds abstract fun bindNewsRepository(impl: OfflineFirstNewsRepository): NewsRepository
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.
- 6d ago First seen · 52 lines · 29 tokens per session scan A 09222d4bce00
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.
Other skills, from other repositories
swift-actor-persistence
Thread-safe data persistence in Swift using actors — in-memory cache with file-backed storage, eliminating data races by design.
setup-datamodel
Use when the user wants to design or redesign the Dataverse schema and connector plan for an existing mobile app, or has an ER diagram (image, Mermaid, or text) to apply. Skip when the user is creating a brand-new app — /create-mobile-app handles the data model inline.
firebase-database
Use when syncing real-time data, structuring JSON trees, reading/writing, creating listeners, enabling offline persistence, managing presence, sharding, or writing security rules.
android-data-layer
Guidance on implementing the Data Layer using Repository pattern, Room (Local), and Retrofit (Remote) with offline-first synchronization.
boutique-store
Create and use Boutique Store for Swift data persistence, including initialization, @Stored controllers, CRUD operations, operation chaining, and granular event monitoring. Use when persisting arrays of items, building data controllers, or working with Boutique's Store type.
boutique-stored-values
Persist individual values with Boutique's @StoredValue (UserDefaults) and @SecurelyStoredValue (Keychain), including set, reset, toggle, bindings, keypath setters, array and dictionary helpers, and async observation. Use when storing preferences, settings, feature flags, or sensitive data like auth tokens.