agents: Skill for Claude Code

.agents/skills/native-data-fetching/SKILL.md

native-data-fetching is a skill for Claude Code, Codex from mtnyilmaz/agents. It costs 49 tokens per session (3,743 once invoked), scanned A, original, MIT.

A guide for implementing and debugging network requests and data loading in Expo apps. It covers browser or device requests, React Query, SWR, caching, offline behavior, authentication, and Expo Router loaders.

In plain words
What is it for?
Use it for API calls, data-fetching hooks, route-level loading, cache setup, offline support, token handling, and network troubleshooting.
Why use it?
It helps handle failed requests, loading states, cached results, changing connectivity, and authentication consistently. It recommends the standard fetch approach instead of axios.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is mtnyilmaz/agents's own configuration. It tells Claude Code and Codex how to work on agents itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agents configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mtnyilmaz/agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mtnyilmaz/agents/main/.agents/skills/native-data-fetching/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/mtnyilmaz/agents

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 native-data-fetching

README.md
[![agentmods](https://agentmods.dev/badge/skills/mtnyilmaz/agents/native-data-fetching/github.svg)](https://agentmods.dev/skills/mtnyilmaz/agents/native-data-fetching)
Your own site
<a href="https://agentmods.dev/skills/mtnyilmaz/agents/native-data-fetching"><img src="https://agentmods.dev/badge/skills/mtnyilmaz/agents/native-data-fetching/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 native-data-fetching

Your own site · 80×15
<a href="https://agentmods.dev/skills/mtnyilmaz/agents/native-data-fetching"><img src="https://agentmods.dev/badge/skills/mtnyilmaz/agents/native-data-fetching.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,743 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00049 $0.03743
Opus 5.5 $0.00020 $0.01497
Sonnet 5.5 $0.00010 $0.00749
Haiku 4.5 $0.00005 $0.00374

Measured 1mo ago against content hash d7274d84951a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

native-data-fetching scanned grade A with 1 finding 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 1mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

fetch(url, { signal: controller.signal })
.agents/skills/native-data-fetching/SKILL.md · 598 lines

How it starts

The opening of the file, as written. The whole thing — 598 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Expo Networking

You MUST use this skill for ANY networking work including API requests, data fetching, caching, or network debugging.

References

Consult these resources as needed:

references/
  expo-router-loaders.md   Route-level data loading with Expo Router loaders (web, SDK 55+)

When to Use

Use this skill when:

  • Implementing API requests
  • Setting up data fetching (React Query, SWR)
  • Using Expo Router data loaders (useLoaderData, web SDK 55+)
  • Debugging network failures
  • Implementing caching strategies
  • Handling offline scenarios
  • Authentication/token management
  • Configuring API URLs and environment variables

Preferences

  • Avoid axios, prefer expo/fetch

Common Issues & Solutions

1. Basic Fetch Usage

Simple GET request:

const fetchUser = async (userId: string) => {
  const response = await fetch(`https://api.example.com/users/${userId}`);

  if (!response.ok) {
    throw new Error(`HTTP error! status: ${response.status}`);
  }

  return response.json();
};

POST request with body (use apiClient — token is injected automatically, see Section 4):

import { apiClient } from "@/lib/api-client";

const createUser = async (userData: UserData) => {
  return apiClient.post<User>("/users", userData);
};

---

### 2. React Query (TanStack Query)

**Setup**:

```tsx
// app/_layout.tsx
import { QueryClient, QueryClientProvider } from "@tanstack/react-query";

const queryClient = new QueryClient({
  defaultOptions: {
    queries: {
      staleTime: 1000 * 60 * 5, // 5 minutes
      retry: 2,
    },
  },
});

export default function RootLayout() {
  return (
    <QueryClientProvider client={queryClient}>
      <Stack />
    </QueryClientProvider>
  );
}

Fetching data:

import { useQuery } from "@tanstack/react-query";

function UserProfile({ userId }: { userId: string }) {
  const { data, isLoading, error, refetch } = useQuery({
    queryKey: ["user", userId],
    queryFn: () => fetchUser(userId),
  });

Read the full file on GitHub · 598 lines

Files

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.

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. 1mo ago First seen · 598 lines · 49 tokens per session scan A d7274d84951a

Subscribe to this mod's changes

native-data-fetching is a skill published in the GitHub repository mtnyilmaz/agents (6 stars, last pushed 5mo ago), licensed MIT. It adds 49 tokens to every session and 3,743 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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