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 ruizrica/agent-pi --skill native-data-fetchinggit clone --depth 1 https://github.com/ruizrica/agent-piWrote 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/ruizrica/agent-pi/native-data-fetching)<a href="https://agentmods.dev/skills/ruizrica/agent-pi/native-data-fetching"><img src="https://agentmods.dev/badge/skills/ruizrica/agent-pi/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/ruizrica/agent-pi/native-data-fetching"><img src="https://agentmods.dev/badge/skills/ruizrica/agent-pi/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 | $0.02879 |
| Opus 5 | $0.00024 | $0.01439 |
| Sonnet 5 | $0.00010 | $0.00576 |
| Haiku 4.5 | $0.00005 | $0.00288 |
Grade B, and why
native-data-fetching scanned grade B with 2 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 9d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
const response = await fetch("https://api.example.com/users", { method: "POST", Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const response = await fetch(url, options); This is a copy
91% identical to data-fetching — 22 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.
How it starts
The opening of the file, as written. The whole thing — 508 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:
const createUser = async (userData: UserData) => {
const response = await fetch("https://api.example.com/users", {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${token}`,
},
body: JSON.stringify(userData),
});
if (!response.ok) {
const error = await response.json();
throw new Error(error.message);
}
return response.json();
};
2. React Query (TanStack Query)
Setup:
// 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),
});
if (isLoading) return <Loading />;
if (error) return <Error message={error.message} />;
return <Profile user={data} />;
}
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.
- 9d ago First seen · 508 lines · 49 tokens per session scan B eaa2f00ceed4
native-data-fetching is a skill published in the GitHub repository ruizrica/agent-pi (266 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 2,879 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). It is 91% identical to data-fetching, differing in 22 lines, and is treated as a copy.
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