Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add mayank-io/mstack/plugin install fetchWrote 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/mayank-io/mstack/pubmed-nlm)<a href="https://agentmods.dev/skills/mayank-io/mstack/pubmed-nlm"><img src="https://agentmods.dev/badge/skills/mayank-io/mstack/pubmed-nlm/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/mayank-io/mstack/pubmed-nlm"><img src="https://agentmods.dev/badge/skills/mayank-io/mstack/pubmed-nlm.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 | $0.00072 | $0.01971 |
| Opus 5.5 | $0.00029 | $0.00788 |
| Sonnet 5.5 | $0.00014 | $0.00394 |
| Haiku 4.5 | $0.00007 | $0.00197 |
Grade A, and why
pubmed-nlm 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fetch PubMed Article
Pull a PubMed record — bibliographic metadata, the structured abstract, MeSH indexing, and the PMC full text when the article is open access — into a directory. This skill knows nothing about vaults. It retrieves, and stops. notes:clip turns the result into a note.
No browser — this one is an API
Unlike every other skill in this plugin, do not open a browser for PubMed. NCBI publishes the entire corpus through E-utilities as XML over plain HTTP: no login, no cookies, no JavaScript, no rate-limit key for light use. There is no gstack section here because there is nothing for gstack to do.
Driving a browser at pubmed.ncbi.nlm.nih.gov would scrape a rendering of data the API hands over structured — losing MeSH qualifiers, grant numbers and author affiliations that never appear on the page — and would miss the full text entirely, which lives on a different host under a different id.
Arguments
$ARGUMENTSshould contain:<url|pmid|pmcid|doi> [output_dir]
All four reference forms resolve to the same record:
| Input | Resolution |
|---|---|
https://pubmed.ncbi.nlm.nih.gov/26041386/ |
direct |
26041386 |
direct |
PMC4986668 or a /pmc/articles/PMC… URL |
reverse-resolved to its PMID via the PMC record |
10.1093/jamia/ocv046 or a doi.org URL |
resolved via esearch — efetch has no DOI lookup |
Instructions
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/pubmed_fetch.py $ARGUMENTS
The script handles everything:
- Parses the reference and resolves it to a PMID
- Fetches
efetch.fcgi?db=pubmed&id=<pmid>&retmode=xml - Parses metadata, authors and affiliations, the structured abstract, MeSH headings, keywords, grants and the reference list
- If the record carries a
pmcid, fetchesefetch.fcgi?db=pmc&id=<numeric>&retmode=xmlfor the full text - Writes the raw XML (both documents), a
<pmid>.jsonrecord, and a rendered<pmid>.md
Set NCBI_API_KEY to raise the rate limit from 3 to 10 requests/second, and NCBI_EMAIL to identify yourself to NCBI. Both are optional and neither is sent unless set — do not add the user's email without being asked.
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 · 94 lines · 72 tokens per session scan A ea88734c85eb
pubmed-nlm is a skill published in the GitHub repository mayank-io/mstack (6 stars, last pushed 3d ago), licensed MIT. It adds 72 tokens to every session and 1,971 once invoked, about $0.0003 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 2026-09-14.
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