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 tenki-labs/datanorge-mcp --skill finn-datakildegit clone --depth 1 https://github.com/tenki-labs/datanorge-mcpWrote 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/tenki-labs/datanorge-mcp/finn-datakilde)<a href="https://agentmods.dev/skills/tenki-labs/datanorge-mcp/finn-datakilde"><img src="https://agentmods.dev/badge/skills/tenki-labs/datanorge-mcp/finn-datakilde/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/tenki-labs/datanorge-mcp/finn-datakilde"><img src="https://agentmods.dev/badge/skills/tenki-labs/datanorge-mcp/finn-datakilde.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 | $0.00198 | $0.01437 |
| Opus 5 | $0.00099 | $0.00718 |
| Sonnet 5 | $0.00040 | $0.00287 |
| Haiku 4.5 | $0.00020 | $0.00144 |
Grade A, and why
finn-datakilde 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 11d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Finn datakilde
Svar på «Hvor finner jeg data om dette?» ved å lete i data.norge.no — og lever, når mulig, både et datasett (fil/nedlasting) og et API (live/oppslag) så brukeren kan velge. Krediter alltid kilden.
Verktøy (datanorge MCP)
search_datasets/search_apis— søk etter datasett og API-erget_dataset/get_api— full metadata, lenker og lisensfetch_data— hent de faktiske dataene fra en URL
Mangler verktøyene, er MCP-serveren ikke koblet til. Be brukeren installere
datanorge- pluginen (ellerclaude mcp add datanorge -- npx -y github:tenki-labs/datanorge-mcp).
Arbeidsflyt
-
Forstå spørsmålet. Trekk ut temaet. Ikke putt dimensjonsord i søkestrengen (kommune, per, hver, fylke, år, måned) — søk på selve temaet; dimensjonen bruker du når du leser/henter dataene. Lag 2–4 norske søkevarianter (presist begrep, synonym, bredere term).
-
Søk i BEGGE katalogene. Kjør
search_datasetsogsearch_apisfor temaet (gjerne parallelt). Målet er å gi brukeren både et datasett og et API der begge finnes. -
Vurder treffene. Relevans, troverdig utgiver (SSB, Kartverket, Miljødirektoratet, Meteorologisk institutt, kommuner …), åpne data, og ferskhet.
-
Forfin — påkrevd ved 0/svake treff. Gir et søk 0 eller svake treff, må du kjøre minst én ny runde (synonym, bredere begrep, engelsk) før du konkluderer — ikke stol på at ett tilfeldig søk traff. Loop opptil ~5 runder; stopp når du har gode kandidater i begge kategorier.
-
Hent detaljer, og par datasett med API. Kjør
get_datasetogget_apifor toppkandidatene. Har et datasett 0 distribusjoner (dataene ligger bak et API), kjørsearch_apispå samme tittel for å finne companion-API-et — datasett og API kommer ofte i par («X» + «X – API»). -
Lever data ved oppdeling. Ber brukeren om en oppdeling (per/hver kommune, over tid, per fylke …), ikke stopp ved katalogoppføringen: hent et lite utdrag med
fetch_datasom faktisk viser oppdelingen, eller si tydelig hvorfor det ikke lar seg gjøre.
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.
- 11d ago First seen · 82 lines · 198 tokens per session scan A 260d49e2a493
finn-datakilde is a skill published in the GitHub repository tenki-labs/datanorge-mcp (3 stars, last pushed 2mo ago), licensed MIT. It adds 198 tokens to every session and 1,437 once invoked, about $0.0010 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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