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 fellipeutaka/leon --skill tanstack-aigit clone --depth 1 https://github.com/fellipeutaka/leonWrote 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/fellipeutaka/leon/tanstack-ai)<a href="https://agentmods.dev/skills/fellipeutaka/leon/tanstack-ai"><img src="https://agentmods.dev/badge/skills/fellipeutaka/leon/tanstack-ai/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/fellipeutaka/leon/tanstack-ai"><img src="https://agentmods.dev/badge/skills/fellipeutaka/leon/tanstack-ai.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 | $0.00122 | $0.01945 |
| Opus 5.5 | $0.00049 | $0.00778 |
| Sonnet 5.5 | $0.00024 | $0.00389 |
| Haiku 4.5 | $0.00012 | $0.00194 |
Grade A, and why
tanstack-ai 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 2mo 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TanStack AI (React)
AI chat framework with isomorphic tools, streaming, and full type safety.
Packages
@tanstack/ai— core:chat(),toolDefinition(),toServerSentEventsResponse(),maxIterations()@tanstack/ai-react— React:useChat()hook, re-exports connection adapters@tanstack/ai-client— headless:ChatClient,clientTools(),createChatClientOptions(),InferChatMessages@tanstack/ai-{openai,anthropic,gemini,ollama,grok,openrouter,fal}— adapter packages
Quick Start
Install
npm install @tanstack/ai @tanstack/ai-react @tanstack/ai-openai
Server (Next.js API Route)
import { chat, toServerSentEventsResponse } from "@tanstack/ai";
import { openaiText } from "@tanstack/ai-openai";
export async function POST(request: Request) {
const { messages } = await request.json();
const stream = chat({
adapter: openaiText("gpt-5.2"),
messages,
});
return toServerSentEventsResponse(stream);
}
Client (React)
import { useState } from "react";
import { useChat, fetchServerSentEvents } from "@tanstack/ai-react";
export function Chat() {
const [input, setInput] = useState("");
const { messages, sendMessage, isLoading } = useChat({
connection: fetchServerSentEvents("/api/chat"),
});
return (
<div>
{messages.map((message) => (
<div key={message.id}>
<strong>{message.role}:</strong>
{message.parts.map((part, idx) => {
if (part.type === "text") return <span key={idx}>{part.content}</span>;
if (part.type === "thinking") return <em key={idx}>{part.content}</em>;
return null;
})}
</div>
))}
<form onSubmit={(e) => { e.preventDefault(); sendMessage(input); setInput(""); }}>
<input value={input} onChange={(e) => setInput(e.target.value)} disabled={isLoading} />
<button type="submit" disabled={isLoading}>Send</button>
</form>
</div>
);
}
What ships with it
4 files 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.
- 2mo ago First seen · 218 lines · 122 tokens per session scan A 102b48a1c1e5
tanstack-ai is a skill published in the GitHub repository fellipeutaka/leon (5 stars, last pushed yesterday), licensed MIT. It adds 122 tokens to every session and 1,945 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-31.
tanstack-ai compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tanstack-aifellipeutaka/leon | Skill | 5 | yesterday | MIT | A | 122 | Claude Code, Codex |
| agents-langchaindavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 80 | Claude Code, Codex |
| thinking-orbsMengTo/Skills | Skill | 7.3k | yesterday | MIT | A | 88 | Codex |
| assistant-uicompozy/compozy | Skill | 2.8k | yesterday | MIT | A | 28 | Claude Code, Codex |
| menu-visibilityasmyshlyaev177/react-horizontal-scrolling-menu | Skill | 788 | 5d ago | MIT | A | 112 | Claude Code, Codex |
| update-provider-modelsvercel/ai | Skill | 28k | yesterday | none | A | 68 | Claude Code, Codex |
| ai-sdkvercel/ai | Skill | 28k | yesterday | none | A | 155 | Claude Code, Codex |