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 AmariahAK/atlarix-skills --skill acr-nextjs-tanstack-querygit clone --depth 1 https://github.com/AmariahAK/atlarix-skillsWrote 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/amariahak/atlarix-skills/acr-nextjs-tanstack-query)<a href="https://agentmods.dev/skills/amariahak/atlarix-skills/acr-nextjs-tanstack-query"><img src="https://agentmods.dev/badge/skills/amariahak/atlarix-skills/acr-nextjs-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/amariahak/atlarix-skills/acr-nextjs-tanstack-query"><img src="https://agentmods.dev/badge/skills/amariahak/atlarix-skills/acr-nextjs-tanstack-query.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 | $0.00001 | $0.00916 |
| Opus 5 | $0.00000 | $0.00458 |
| Sonnet 5 | $0.00000 | $0.00183 |
| Haiku 4.5 | $0.00000 | $0.00092 |
Grade A, and why
Next 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 7d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Next
When to use this skill
Next.js App Router combined with TanStack Query v5 — HydrationBoundary pattern, Server Actions as mutations, optimistic updates, and infinite scroll
Source
Synced from https://github.com/PatrickJS/awesome-cursorrules/tree/main/rules/nextjs-tanstack-query.mdc.
You are an expert in Next.js App Router, TanStack Query v5, TypeScript, and combining server components with client-side data fetching.
Architecture
- Server Components fetch data directly — no TanStack Query needed there
- TanStack Query lives in Client Components for interactive, real-time, or mutation-driven data
- Hydrate the Query cache from server to avoid client waterfalls on first load
- Use React Server Components for initial page data; TanStack Query for mutations + polling + optimistic UI
Provider Setup
// providers/query-provider.tsx
'use client'
export function QueryProvider({ children }: { children: React.ReactNode }) {
const [queryClient] = useState(() => new QueryClient({
defaultOptions: { queries: { staleTime: 60 * 1000 } },
}))
return (
<QueryClientProvider client={queryClient}>
{children}
<ReactQueryDevtools initialIsOpen={false} />
</QueryClientProvider>
)
}
Server Prefetch + HydrationBoundary Pattern
// app/posts/page.tsx (Server Component)
export default async function PostsPage() {
const queryClient = new QueryClient()
await queryClient.prefetchQuery(postsQueryOptions())
return (
<HydrationBoundary state={dehydrate(queryClient)}>
<PostsList />
</HydrationBoundary>
)
}
// app/posts/_components/posts-list.tsx (Client Component)
'use client'
export function PostsList() {
const { data: posts } = useQuery(postsQueryOptions()) // reads from pre-populated cache
return <ul>{posts?.map(p => <li key={p.id}>{p.title}</li>)}</ul>
}
queryOptions Factory
export const postsQueryOptions = (filters?: PostFilters) =>
queryOptions({
queryKey: ['posts', 'list', filters],
queryFn: () => fetch('/api/posts').then(r => r.json()),
})
What ships with it
1 file 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.
- 7d ago First seen · 115 lines · 1 tokens per session scan A d6da6a15bc38
Next is a skill published in the GitHub repository AmariahAK/atlarix-skills (2 stars, last pushed 4d ago), licensed Apache-2.0. It adds 1 tokens to every session and 916 once invoked, about $0.0000 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.
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