tanstack-query

A library for managing data fetched from a server in JavaScript and TypeScript applications, including React, Vue, Solid, Svelte, and Angular apps. It keeps fetched data available to the application and coordinates updates to it.

In plain words
What is it for?
Use it for API data, cached queries, background refreshes, pagination, infinite scrolling, and optimistic updates.
Why use it?
It removes much of the repeated code needed for loading server data, caching it, refreshing it, and handling changing results. It also covers common cases such as paginated lists and updates that appear immediately before the server confirms them.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/bskimball/tanstack-hono/tanstack-query
Any agent
npx skills add bskimball/tanstack-hono --skill tanstack-query
Clone the repo
git clone --depth 1 https://github.com/bskimball/tanstack-hono

Made for: Claude Code, Codex.

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,454 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00033 $0.05454
Opus 5 $0.00016 $0.02727
Sonnet 5 $0.00007 $0.01091
Haiku 4.5 $0.00003 $0.00545

Measured 2d ago against content hash 813406a8fa59, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

tanstack-query 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 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.

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.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

.agents/skills/tanstack-query/SKILL.md · 850 lines

How it starts

The opening of the file, as written. The whole thing — 850 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

TanStack Query (formerly React Query) manages server state - data that lives on the server and needs to be fetched, cached, synchronized, and updated. It provides automatic caching, background refetching, stale-while-revalidate patterns, pagination, infinite scrolling, and optimistic updates out of the box.

Package: @tanstack/react-query Devtools: @tanstack/react-query-devtools Current Version: v5

Installation

npm install @tanstack/react-query
npm install -D @tanstack/react-query-devtools  # Optional

Setup

import { QueryClient, QueryClientProvider } from '@tanstack/react-query'
import { ReactQueryDevtools } from '@tanstack/react-query-devtools'

const queryClient = new QueryClient({
  defaultOptions: {
    queries: {
      staleTime: 1000 * 60, // 1 minute
      gcTime: 1000 * 60 * 5, // 5 minutes (garbage collection)
      retry: 3,
      refetchOnWindowFocus: true,
      refetchOnReconnect: true,
    },
  },
})

function App() {
  return (
    <QueryClientProvider client={queryClient}>
      <YourApp />
      <ReactQueryDevtools initialIsOpen={false} />
    </QueryClientProvider>
  )
}

Core Concepts

Query Keys

Query keys uniquely identify cached data. They must be serializable arrays:

// Simple key
useQuery({ queryKey: ['todos'], queryFn: fetchTodos })

// With variables (dependency array pattern)
useQuery({ queryKey: ['todos', { status, page }], queryFn: fetchTodos })

// Hierarchical keys for invalidation
useQuery({ queryKey: ['todos', todoId], queryFn: () => fetchTodo(todoId) })
useQuery({ queryKey: ['todos', todoId, 'comments'], queryFn: () => fetchComments(todoId) })

// Invalidation matches prefixes:
// queryClient.invalidateQueries({ queryKey: ['todos'] })
// ^ Invalidates ALL queries starting with 'todos'

Query Functions

// Query function receives a QueryFunctionContext
useQuery({
  queryKey: ['todos', todoId],
  queryFn: async ({ queryKey, signal, meta }) => {
    const [_key, id] = queryKey
    const response = await fetch(`/api/todos/${id}`, { signal })
    if (!response.ok) throw new Error('Failed to fetch')
    return response.json()
  },
})

// Using the signal for automatic cancellation
useQuery({
  queryKey: ['todos'],
  queryFn: async ({ signal }) => {
    const response = await fetch('/api/todos', { signal })
    return response.json()
  },
})

Read the full file on GitHub · 850 lines

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. 2d ago First seen · 850 lines · 33 tokens per session scan A 813406a8fa59

Subscribe to this mod's changes

tanstack-query is a skill published in the GitHub repository bskimball/tanstack-hono (119 stars, last pushed 21d ago), licensed MIT. It adds 33 tokens to every session and 5,454 once invoked, about $0.0002 per session on Opus 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 2026-08-30.

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