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 skills add TalissonVitorino/kmp-ios-skills --skill offline-firstgit clone --depth 1 https://github.com/TalissonVitorino/kmp-ios-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/talissonvitorino/kmp-ios-skills/offline-first)<a href="https://agentmods.dev/skills/talissonvitorino/kmp-ios-skills/offline-first"><img src="https://agentmods.dev/badge/skills/talissonvitorino/kmp-ios-skills/offline-first/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.
<a href="https://agentmods.dev/skills/talissonvitorino/kmp-ios-skills/offline-first"><img src="https://agentmods.dev/badge/skills/talissonvitorino/kmp-ios-skills/offline-first.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 440 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00026 | $0.05055 |
| Opus 5 | $0.00013 | $0.02527 |
| Sonnet 5 | $0.00005 | $0.01011 |
| Haiku 4.5 | $0.00003 | $0.00505 |
Grade A, and why
offline-first 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 509 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Offline-First Architecture Patterns
NetworkBoundResource Pattern
The core abstraction that coordinates cache and network data sources.
inline fun <ResultType, RequestType> networkBoundResource(
crossinline query: () -> Flow<ResultType>,
crossinline fetch: suspend () -> RequestType,
crossinline saveFetchResult: suspend (RequestType) -> Unit,
crossinline shouldFetch: (ResultType) -> Boolean = { true },
crossinline onFetchFailed: (Throwable) -> Unit = { }
): Flow<Resource<ResultType>> = flow {
val cachedData = query().first()
val result = if (shouldFetch(cachedData)) {
emit(Resource.Loading(cachedData))
try {
saveFetchResult(fetch())
query().map { Resource.Success(it) }
} catch (e: Exception) {
if (e is CancellationException) throw e // never swallow cancellation
onFetchFailed(e)
// Surface the failure to the UI while still serving cached data
query().map { Resource.Error(e.message ?: "Fetch failed", it) }
}
} else {
query().map { Resource.Success(it) }
}
emitAll(result)
}
Resource Wrapper
sealed class Resource<out T> {
data class Success<T>(val data: T) : Resource<T>()
data class Loading<T>(val data: T? = null) : Resource<T>()
data class Error<T>(val message: String, val data: T? = null) : Resource<T>()
}
Usage in Repository
class ArticleRepository(
private val api: ArticleApi,
private val dao: ArticleDao,
private val cachePolicy: CachePolicy
) {
fun getArticles(): Flow<Resource<List<Article>>> = networkBoundResource(
query = { dao.observeAll() },
fetch = { api.getArticles() },
saveFetchResult = { articles ->
// Room @Transaction DAO method (deleteAll + insertAll atomically);
// in SQLDelight wrap in queries.transaction { }
dao.replaceAll(articles.map { it.toEntity() })
// Stamp freshness only after a successful write, or isExpired() stays true
// forever and every collection refetches.
cachePolicy.markFresh("articles")
},
shouldFetch = { cachedArticles ->
cachedArticles.isEmpty() || cachePolicy.isExpired("articles")
}
)
}
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.
- 10d ago First seen · 509 lines · 26 tokens per session scan A 4ed0aa7f9532
offline-first is a skill published in the GitHub repository TalissonVitorino/kmp-ios-skills (12 stars, last pushed 15d ago), licensed MIT. It adds 26 tokens to every session and 5,055 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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