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 joevstaas/awesome-claude-skills --skill nmdc-exploregit clone --depth 1 https://github.com/joevstaas/awesome-claude-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/joevstaas/awesome-claude-skills/nmdc-explore)<a href="https://agentmods.dev/skills/joevstaas/awesome-claude-skills/nmdc-explore"><img src="https://agentmods.dev/badge/skills/joevstaas/awesome-claude-skills/nmdc-explore/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/joevstaas/awesome-claude-skills/nmdc-explore"><img src="https://agentmods.dev/badge/skills/joevstaas/awesome-claude-skills/nmdc-explore.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 | $0.00096 | $0.06868 |
| Opus 5 | $0.00048 | $0.03434 |
| Sonnet 5 | $0.00019 | $0.01374 |
| Haiku 4.5 | $0.00010 | $0.00687 |
Grade A, and why
nmdc-explore 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 12d 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 — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NMDC Explore
When to use this skill
Invoke when the user:
- Mentions NMDC or the Norwegian Marine Data Centre by name.
- Asks for marine, ocean, or fisheries data with a Norwegian or Nordic flavour ("data from IMR", "Barents Sea cruises", "Mareano survey", "Argo floats off Norway").
- Wants to discover datasets by topic, provider, geography, or time period.
- Drills into a single dataset for file lists, sizes, license, and access details.
- Asks whether an NMDC dataset can be ingested into ODP and how.
Skip when the user is asking about ODP itself (use odp-data-consume, odp-data-ingest, or odp-stac-api), about a different Norwegian source like Vannmiljø (use vannmiljo), or about local files (use odp-data-exploration).
Out of scope
This skill does not:
- Perform the actual ODP ingest (hand off to
odp-data-ingest). - Download or subset NetCDF data from OPeNDAP (use
xarray/pydapdirectly). - Drive the
/Subsetter/basket workflow on the NMDC site (browser-only feature). - Sort search results by recency. The NMDC API has no
sortparameter; ask the user for a concrete period instead. - Search anything outside
metadata.nmdc.no.
Backend overview
metadata.nmdc.no exposes a small read-only API under /metadata-api/:
| Endpoint | Use |
|---|---|
GET /metadata-api/getFacets |
Full facet tree: Scientific_Keyword (CEOS GCMD hierarchy, >-delimited paths) and Provider (~45 institutions). Each node has a match count. |
GET /metadata-api/search?q=&offset=&beginDate=&endDate=&bbox=&dateSearchMode= |
Solr-backed catalog search. Returns {matches, numFound, results[]}. Page size is hardcoded to 10 — only offset paginates. |
GET /metadata-api/landingpage/{hash} |
HTML landing page for one dataset, rendered from CEOS DIF 9.7.1 metadata. Carries the file list, license, and stated sizes. |
Caveats to keep in mind:
- HTTP only (not HTTPS). Don't error — note it and proceed.
- No
sortparameter onsearch. If the user asks for "latest", request a concrete period. - The
bboxquery param is appended as a Solr filter query, but in practice the live UI puts geographic constraints intoqdirectly vialocation_rpt— this skill does the same.
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.
- 12d ago First seen · 400 lines · 96 tokens per session scan A 8d1ac2c0ff48
nmdc-explore is a skill published in the GitHub repository joevstaas/awesome-claude-skills (6 stars, last pushed 15d ago), licensed MIT. It adds 96 tokens to every session and 6,868 once invoked, about $0.0005 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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