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/hanamizuki/solopreneur/data-layernpx skills add hanamizuki/solopreneur --skill data-layergit clone --depth 1 https://github.com/hanamizuki/solopreneurWrote 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/hanamizuki/solopreneur/data-layer)<a href="https://agentmods.dev/skills/hanamizuki/solopreneur/data-layer"><img src="https://agentmods.dev/badge/skills/hanamizuki/solopreneur/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 | $0.00028 | $0.00444 |
| Opus 5 | $0.00014 | $0.00222 |
| Sonnet 5 | $0.00006 | $0.00089 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
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.
This is a copy
97% identical to android-data-layer — 2 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.
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 ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 28 tokens per session scan A afc0b3edb7f6
data-layer is a skill published in the GitHub repository hanamizuki/solopreneur (147 stars, last pushed 20d ago), licensed MIT. It adds 28 tokens to every session and 444 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to android-data-layer, differing in 2 lines, and is treated as a copy.
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