TanStack AI is a TypeScript SDK for building applications that stream AI responses, call tools, run agents, produce structured output, and handle multimodal or realtime interactions. Developers use it across frameworks and AI providers through shared typed interfaces and provider adapters. The catalogue entries are add-ons for working with this SDK.
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 TanStack/ai --skill chat-experiencegit clone --depth 1 https://github.com/TanStack/aiWrote 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/tanstack/ai/chat-experience)<a href="https://agentmods.dev/skills/tanstack/ai/chat-experience"><img src="https://agentmods.dev/badge/skills/tanstack/ai/chat-experience/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/tanstack/ai/chat-experience"><img src="https://agentmods.dev/badge/skills/tanstack/ai/chat-experience.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Prompt Injection · line 391 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Agent Snooping · line 767 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00078 | $0.08893 |
| Opus 5.5 | $0.00031 | $0.03557 |
| Sonnet 5.5 | $0.00016 | $0.01779 |
| Haiku 4.5 | $0.00008 | $0.00889 |
Grade A, and why
ai-core/chat-experience 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 2d 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.
Call `server.fetch(request)` in your HTTP route. How it starts
The opening of the file, as written. The whole thing — 1,085 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chat Experience
This skill builds on ai-core. Read it first for critical rules.
Setup — Minimal Chat App
Server: API Route (TanStack Start)
// src/routes/api.chat.ts
import { createFileRoute } from '@tanstack/react-router'
import { chat, toServerSentEventsResponse } from '@tanstack/ai'
import { openaiText } from '@tanstack/ai-openai'
export const Route = createFileRoute('/api/chat')({
server: {
handlers: {
POST: async ({ request }) => {
const abortController = new AbortController()
const body = await request.json()
const { messages } = body
const stream = chat({
adapter: openaiText('gpt-5.5'),
messages,
threadId: body.threadId,
systemPrompts: ['You are a helpful assistant.'],
abortController,
})
return toServerSentEventsResponse(stream, { abortController })
},
},
},
})
Client: React Component
// src/routes/index.tsx
import { useState } from 'react'
import { useChat, fetchServerSentEvents } from '@tanstack/ai-react'
import type { UIMessage } from '@tanstack/ai-react'
function ChatPage() {
const [input, setInput] = useState('')
const { messages, sendMessage, isLoading, error, stop } = useChat({
connection: fetchServerSentEvents('/api/chat'),
threadId: 'support-42',
})
const handleSubmit = () => {
if (!input.trim()) return
sendMessage(input.trim())
setInput('')
}
return (
<div>
<div>
{messages.map((message: UIMessage) => (
<div key={message.id}>
<strong>{message.role}:</strong>
{message.parts.map((part, i) => {
if (part.type === 'text') {
return <p key={i}>{part.content}</p>
}
return null
})}
</div>
))}
</div>
{error && <div>Error: {error.message}</div>}
<div>
<input
value={input}
onChange={(e) => setInput(e.target.value)}
onKeyDown={(e) => {
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault()
handleSubmit()
}
}}
disabled={isLoading}
placeholder="Type a message..."
/>
{isLoading ? (
<button onClick={stop}>Stop</button>
) : (
<button onClick={handleSubmit} disabled={!input.trim()}>
Send
</button>
)}
</div>
</div>
)
}
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.
- 2d ago Changed · +61 lines 63c696d25e83
- 11d ago Changed · +6 lines f2f2766f5066
- 12d ago Changed · -5 lines 5e80a8ecc38e
- 16d ago Changed · +1 lines 555ae13923a6
- 27d ago Changed · +120 lines ebcbd5ed34ce
- 1mo ago Changed · +14 lines fb462fb9d15a
- 1mo ago Changed · +120 lines 9d73067a34a4
- 1mo ago First seen · 768 lines · 78 tokens per session scan A 48625b5612ce
ai-core/chat-experience is a skill published in the GitHub repository TanStack/ai (3,245 stars, last pushed yesterday), licensed MIT. It adds 78 tokens to every session and 8,893 once invoked, about $0.0003 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 2026-08-30.
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