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 agentmods add skills/mercurypark/oc-setup/data-fetchingnpx skills add mercuryPark/oc-setup --skill data-fetchinggit clone --depth 1 https://github.com/mercuryPark/oc-setupWrote 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/mercurypark/oc-setup/data-fetching)<a href="https://agentmods.dev/skills/mercurypark/oc-setup/data-fetching"><img src="https://agentmods.dev/badge/skills/mercurypark/oc-setup/data-fetching.svg" alt="Measured on agentmods" 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 | $0.00022 | $0.00307 |
| Opus 5 | $0.00011 | $0.00153 |
| Sonnet 5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00031 |
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 5d 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.
What it actually says
Data Fetching Patterns
Recommended: React Query
Basic Setup
import { useQuery, useMutation, QueryClient } from '@tanstack/react-query'
const queryClient = new QueryClient()
function UserList() {
const { data, isLoading } = useQuery({
queryKey: ['users'],
queryFn: fetchUsers
})
}
Mutations with Optimistic Updates
const mutation = useMutation({
mutationFn: updateUser,
onMutate: async (newUser) => {
await queryClient.cancelQueries({ queryKey: ['users'] })
const previousUsers = queryClient.getQueryData(['users'])
queryClient.setQueryData(['users'], (old) => [...old, newUser])
return { previousUsers }
},
onError: (err, newUser, context) => {
queryClient.setQueryData(['users'], context.previousUsers)
}
})
Pagination
Cursor-based
const { data, fetchNextPage } = useInfiniteQuery({
queryKey: ['users'],
queryFn: ({ pageParam }) => fetchUsers(pageParam),
getNextPageParam: (lastPage) => lastPage.nextCursor
})
Offset-based
Use for predictable page sizes and SEO-friendly URLs.
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.
- 5d ago First seen · 53 lines · 22 tokens per session scan A 252fa6f894c2
data-fetching is a skill published in the GitHub repository mercuryPark/oc-setup (2 stars, last pushed 4mo ago), licensed MIT. It adds 22 tokens to every session and 307 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 2026-08-31.
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