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 5.5 | $0.00038 | $0.02747 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 5d ago), licensed MIT. It adds 96 tokens to every session and 6,868 once invoked, about $0.0004 per session on Opus 5.5. 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.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
exploratory-data-analysis
Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
matlab
Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
phylogenetics
Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein…
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
presenting-conference-talks
Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.