Borrowing it
Nothing to install: this file belongs to Dariolex/pubmed-search-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Dariolex/pubmed-search-agent/master/.claude/skills/pubmed-search/SKILL.mdgit clone --depth 1 https://github.com/Dariolex/pubmed-search-agentWrote 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/dariolex/pubmed-search-agent/pubmed-search)<a href="https://agentmods.dev/skills/dariolex/pubmed-search-agent/pubmed-search"><img src="https://agentmods.dev/badge/skills/dariolex/pubmed-search-agent/pubmed-search/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/dariolex/pubmed-search-agent/pubmed-search"><img src="https://agentmods.dev/badge/skills/dariolex/pubmed-search-agent/pubmed-search.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 | $0.00092 | $0.02538 |
| Opus 5.5 | $0.00037 | $0.01015 |
| Sonnet 5.5 | $0.00018 | $0.00508 |
| Haiku 4.5 | $0.00009 | $0.00254 |
Grade A, and why
pubmed-search 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 2mo 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PubMed NL Search
Trasforma una richiesta in linguaggio naturale in una ricerca PubMed reale, poi filtra i risultati per pertinenza rispetto all'intento dell'utente.
Eseguire i comandi Python dalla radice del progetto (dove c'è pytest.ini), con
src sul PYTHONPATH — es. PYTHONPATH=src python -m nl_query_translator ....
Serve un file .env valido con NCBI_API_KEY, NCBI_TOOL_NAME, NCBI_EMAIL.
Flusso
1. Estrai il JSON intermedio dalla richiesta
Analizza la richiesta NL e costruisci questo JSON (schema esteso con provenienza):
{
"intento_originale": "<la richiesta dell'utente, verbatim>",
"concetti": [
{"termine": "<concetto>", "sinonimi": ["<variante>"], "mesh": "<termine MeSH o null>", "provenienza": "<perché estratto>"}
],
"operatore_tra_concetti": "AND",
"esclusioni": [{"termine": "<da escludere>", "campo": "pt", "provenienza": "<perché>"}],
"filtri": {
"date": {"da": "<anno>", "a": "<anno>", "tipo": "dp"},
"tipi_studio": ["<publication type>"],
"lingua": "<lingua o null>",
"brevetto": true
}
}
Linee guida per l'estrazione:
- Concetti: i nuclei clinici/scientifici della richiesta. Aggiungi
sinonimiutili (varianti terminologiche, non traduzioni). Per il campomesh, se hai un candidato plausibile (es.melanoma), non limitarti al tuo giudizio: verificalo con il resolver (vedi sotto) prima di popolarlo nel JSON finale. - operatore_tra_concetti:
ANDdi norma (l'utente vuole tutti i concetti insieme). UsaORsolo se la richiesta è esplicitamente alternativa ("melanoma o carcinoma"). - Esclusioni: frasi come "escludendo X", "senza X", "non case report" →
NOT. Per i tipi di pubblicazione usacampo: "pt"; per termini liberi ometticampo. - Filtri date: "ultimi 3 anni" → calcola dalla data odierna (
da= anno corrente − 3,a= anno corrente).tipo:dp(data di pubblicazione) di default. - Tipi di studio: "trial randomizzati" →
randomized controlled trial; "meta-analisi" →meta-analysis; "review" →review. Più tipi vengono uniti in OR automaticamente. - Lingua: solo se la richiesta la specifica ("in inglese" →
english). - Brevetto: imposta
brevetto: truequando la richiesta chiede articoli i cui autori dichiarano un brevetto ("che dichiarano un brevetto", "con brevetto registrato", "autori con brevetti"); ometti il campo (non impostarlo afalse) quando non richiesto. AggiungeAND "patent*"[cois]alla query. Attenzione: PubMed non indicizza i brevetti — il filtro cerca nel Conflict of Interest Statement, che è testo libero. Cattura quindi anche le dichiarazioni negative ("gli autori non detengono brevetti"): vanno scartate leggendocoi_statementnella fase 5.
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.
- 2mo ago First seen · 180 lines · 92 tokens per session scan A c061246b48bc
pubmed-search is a skill published in the GitHub repository Dariolex/pubmed-search-agent (2 stars, last pushed 3mo ago), licensed MIT. It adds 92 tokens to every session and 2,538 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.
pubmed-search compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pubmed-searchDariolex/pubmed-search-agent | Skill | 2 | 3mo ago | MIT | A | 92 | Claude Code |
| noodle-biomedical-literature-discoveryhelena-bioinformatics/noodle-mcp | Skill | 0 | 2mo ago | Apache-2.0 | A | 105 | Codex |
| noodle-biomedical-literature-discovery-mcphelena-bioinformatics/noodle-mcp | Skill | 0 | 2mo ago | Apache-2.0 | A | 62 | Claude Code |
| drug-discoveryNousResearch/hermes-agent | Skill | 261k | yesterday | MIT | A | 19 | Claude Code, Codex |
| detecting-pv-signalsmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 218 | Claude Code |
| structuring-radiology-reportsmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 195 | Claude Code |
| coding-icd10maziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 209 | Claude Code |