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.
curl -O https://raw.githubusercontent.com/mtnyilmaz/agents/main/.agents/skills/native-data-fetching/SKILL.mdgit clone --depth 1 https://github.com/mtnyilmaz/agentsWrote 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/mtnyilmaz/agents/native-data-fetching)<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.
<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>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 | $0.00049 | $0.03743 |
| Opus 5.5 | $0.00020 | $0.01497 |
| Sonnet 5.5 | $0.00010 | $0.00749 |
| Haiku 4.5 | $0.00005 | $0.00374 |
Grade A, and why
native-data-fetching scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
fetch(url, { signal: controller.signal }) How it starts
The opening of the file, as written. The whole thing — 598 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Expo Networking
You MUST use this skill for ANY networking work including API requests, data fetching, caching, or network debugging.
References
Consult these resources as needed:
references/
expo-router-loaders.md Route-level data loading with Expo Router loaders (web, SDK 55+)
When to Use
Use this skill when:
- Implementing API requests
- Setting up data fetching (React Query, SWR)
- Using Expo Router data loaders (
useLoaderData, web SDK 55+) - Debugging network failures
- Implementing caching strategies
- Handling offline scenarios
- Authentication/token management
- Configuring API URLs and environment variables
Preferences
- Avoid axios, prefer expo/fetch
Common Issues & Solutions
1. Basic Fetch Usage
Simple GET request:
const fetchUser = async (userId: string) => {
const response = await fetch(`https://api.example.com/users/${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),
});
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.
- 1mo ago First seen · 598 lines · 49 tokens per session scan A d7274d84951a
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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