offline-first

offline-first is a skill for Claude Code, Codex from TalissonVitorino/kmp-ios-skills. It costs 26 tokens per session (5,055 once invoked), scanned A, original, MIT.

A set of design patterns for apps that keep working when the network is slow or unavailable, then sync data when a connection returns.

In plain words
What is it for?
Use it to build local caches, background syncing, conflict handling, and connection-status monitoring.
Why use it?
It prevents offline users from seeing empty screens or losing changes. It also gives the app clear rules for cached data, failed requests, and conflicting edits.

Skill for Claude CodeCodex

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

Good fit Use it to build local caches, background syncing, conflict handling, and connection-status monitoring.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/talissonvitorino/kmp-ios-skills/offline-first
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 TalissonVitorino/kmp-ios-skills --skill offline-first
Clone the repo
git clone --depth 1 https://github.com/TalissonVitorino/kmp-ios-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 offline-first

README.md
[![agentmods](https://agentmods.dev/badge/skills/talissonvitorino/kmp-ios-skills/offline-first/github.svg)](https://agentmods.dev/skills/talissonvitorino/kmp-ios-skills/offline-first)
Your own site
<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.

agentmods 80×15 button for offline-first

Your own site · 80×15
<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>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,055 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
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.
How audits are shown
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 $0.00026 $0.05055
Opus 5 $0.00013 $0.02527
Sonnet 5 $0.00005 $0.01011
Haiku 4.5 $0.00003 $0.00505

Measured 10d ago against content hash 4ed0aa7f9532, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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.

cross-platform/offline-first/SKILL.md · 509 lines

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")
        }
    )
}

Read the full file on GitHub · 509 lines

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. 10d ago First seen · 509 lines · 26 tokens per session scan A 4ed0aa7f9532

Subscribe to this mod's changes

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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