data-fetching

data-fetching is a cursor rule for Cursor from GoranErhartic/cursor-development-rules. It costs 16 tokens per session (471 once invoked), scanned A, original, MIT.

A set of React data-fetching patterns using TanStack Query, a library for loading, caching, updating, and refreshing server data.

In plain words
What is it for?
Use it when building screens that fetch data, submit changes, prefetch pages, or update the interface before a server response arrives.
Why use it?
It keeps remote data and its loading, error, and update states consistent, while avoiding stale or duplicated requests.

Cursor rule for Cursor

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 rules/goranerhartic/cursor-development-rules/data-fetching
Clone the repo
git clone --depth 1 https://github.com/GoranErhartic/cursor-development-rules

Made for: Cursor.

Wrote 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.

agentmods badge for data-fetching

README.md
[![agentmods](https://agentmods.dev/badge/rules/goranerhartic/cursor-development-rules/data-fetching.svg)](https://agentmods.dev/rules/goranerhartic/cursor-development-rules/data-fetching)
Your own site
<a href="https://agentmods.dev/rules/goranerhartic/cursor-development-rules/data-fetching"><img src="https://agentmods.dev/badge/rules/goranerhartic/cursor-development-rules/data-fetching.svg" alt="Measured on agentmods" height="20"></a>
Per session 16 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 471 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00016 $0.00471
Opus 5 $0.00008 $0.00235
Sonnet 5 $0.00003 $0.00094
Haiku 4.5 $0.00002 $0.00047

Measured today against content hash 570e2ca290cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

data-fetching 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 today.

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.

.cursor/rules/languages/react/data-fetching.mdc · 39 lines

What it actually says

Data Fetching with TanStack Query

Setup

  • Wrap app with QueryClientProvider; create QueryClient with defaultOptions (staleTime, gcTime, retry, refetchOnWindowFocus as needed)

Queries

  • useQuery: queryKey: ['resource', id] (or ['users', 'search', params]); queryFn: async () => fetch/return; enabled: boolean for conditional fetch
  • States: isLoading, isError, error, data, isFetching, refetch
  • Query key: Include all dependencies (filters, pagination) so cache is correct; use consistent key shape across app

Mutations

  • useMutation: mutationFn: async (variables) => api.post(...); onSuccess, onError, onSettled; mutate or mutateAsync
  • Invalidation: queryClient.invalidateQueries({ queryKey: ['users'] }) after create/update/delete
  • Optimistic updates: onMutate → set cache with queryClient.setQueryData; onError → rollback with queryClient.setQueryData(previous); onSettled → invalidate

Conventions

  • Server state in TanStack Query; local/UI state in useState/Zustand
  • Loading: use isLoading for initial, isFetching for background refetch
  • Error: render error UI from error; use error boundary for unexpected
  • Prefetch: queryClient.prefetchQuery({ queryKey, queryFn }) on hover or route loader

Best Practices

  • Sensible staleTime/gcTime; retry with backoff; keys include all variables; invalidate after mutations; optimistic updates where UX benefits; prefetch on intent

Anti-Patterns

  • Fetch in useEffect for server data (use loader or useQuery); duplicate query keys; not invalidating after mutation; ignoring loading/error states; storing server state in Zustand

See also: routing.mdc, state-management.mdc, error-handling.mdc

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. today First seen · 39 lines · 16 tokens per session scan A 570e2ca290cf

Subscribe to this mod's changes

data-fetching is a cursor rule published in the GitHub repository GoranErhartic/cursor-development-rules (19 stars, last pushed 6mo ago), licensed MIT. It adds 16 tokens to every session and 471 once invoked, about $0.0001 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 2026-09-03.