Borrowing it
Nothing to install: this file belongs to bskimball/tanstack-hono. 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/bskimball/tanstack-hono/master/.agents/skills/tanstack-query/SKILL.mdgit clone --depth 1 https://github.com/bskimball/tanstack-honoWrote 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/bskimball/tanstack-hono/tanstack-query)<a href="https://agentmods.dev/skills/bskimball/tanstack-hono/tanstack-query"><img src="https://agentmods.dev/badge/skills/bskimball/tanstack-hono/tanstack-query/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/bskimball/tanstack-hono/tanstack-query"><img src="https://agentmods.dev/badge/skills/bskimball/tanstack-hono/tanstack-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
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 →
- high Memory Poisoning · line 261 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
- medium Excessive Agency · line 342 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
- medium Excessive Agency · line 523 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
- medium Excessive Agency · line 843 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.00033 | $0.05454 |
| Opus 5.5 | $0.00013 | $0.02182 |
| Sonnet 5.5 | $0.00007 | $0.01091 |
| Haiku 4.5 | $0.00003 | $0.00545 |
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 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.
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.
Copies of this mod
3 near-identical copies found in the catalogue:
- tanstack-query — 100% identical, 0 lines differ
- tanstack-query — 100% identical, 0 lines differ
- tanstack-query — 100% identical, 0 lines differ
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()
},
})
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 · 850 lines · 33 tokens per session scan A 813406a8fa59
tanstack-query is a skill published in the GitHub repository bskimball/tanstack-hono (119 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 5,454 once invoked, about $0.0001 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 2026-08-30.
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