alterlab-pubmed

alterlab-pubmed is a skill for Claude Code from AlterLab-IEU/AlterLab-Academic-Skills. It costs 104 tokens per session (3,161 once invoked), scanned A, original, MIT.

A tool for searching PubMed, the U.S. National Library of Medicine's database of biomedical and life-science papers, through its web API. It supports detailed searches, paper metadata, abstracts, and citation identifiers.

In plain words
What is it for?
Use it to find papers by topic, author, date, or article type; run Boolean or MeSH searches; retrieve abstracts in bulk; and collect citations for systematic reviews or meta-analyses.
Why use it?
It removes the need to search and download biomedical references one at a time. Programmatic access also makes large searches and repeatable literature reviews easier.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the alterlab-databases plugin — 39 skills shipped together

Good fit Use it to find papers by topic, author, date, or article type; run Boolean or MeSH searches; retrieve abstracts in bulk; and collect citations for systematic reviews or meta-analyses.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alterlab-ieu/alterlab-academic-skills/alterlab-pubmed
Install

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.

Any agent
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-pubmed
Clone the repo
git clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-Skills

Made for: Claude Code.

Or install alterlab-databases, the plugin that ships this one along with the rest of its 39 skills.

Wrote 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.

agentmods badge for alterlab-pubmed

README.md
[![agentmods](https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pubmed/github.svg)](https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pubmed)
Your own site
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pubmed"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pubmed/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.

agentmods 80×15 button for alterlab-pubmed

Your own site · 80×15
<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pubmed"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-pubmed.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,161 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00104 $0.03161
Opus 5 $0.00052 $0.01580
Sonnet 5 $0.00021 $0.00632
Haiku 4.5 $0.00010 $0.00316

Measured 7d ago against content hash 0e0bcb897c5e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

alterlab-pubmed scanned grade A with 1 finding 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/query_pubmed.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

allowed-tools: Read WebFetch Bash(curl:*) Bash(python:*)
skills/databases/alterlab-pubmed/SKILL.md · 335 lines

How it starts

The opening of the file, as written. The whole thing — 335 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PubMed Database

Overview

PubMed is the U.S. National Library of Medicine's comprehensive database providing free access to MEDLINE and life sciences literature. Construct advanced queries with Boolean operators, MeSH terms, and field tags, access data programmatically via E-utilities API for systematic reviews and literature analysis.

Scripts

scripts/query_pubmed.py — NCBI E-utilities (ESearch/ESummary/EFetch; stdlib only, JSON to stdout):

python scripts/query_pubmed.py search "crispr[tiab] AND 2024[dp]" --retmax 20   # PMIDs
python scripts/query_pubmed.py summary 39726939 39492484    # metadata for PMIDs
python scripts/query_pubmed.py fetch 39726939               # abstracts (use --api-key for 10 req/s)

When to Use This Skill

This skill should be used when:

  • Searching for biomedical or life sciences research articles
  • Constructing complex search queries with Boolean operators, field tags, or MeSH terms
  • Conducting systematic literature reviews or meta-analyses
  • Accessing PubMed data programmatically via the E-utilities API
  • Finding articles by specific criteria (author, journal, publication date, article type)
  • Retrieving citation information, abstracts, or full-text articles
  • Working with PMIDs (PubMed IDs) or DOIs
  • Creating automated workflows for literature monitoring or data extraction

Core Capabilities

1. Advanced Search Query Construction

Construct sophisticated PubMed queries using Boolean operators, field tags, and specialized syntax.

Basic Search Strategies:

  • Combine concepts with Boolean operators (AND, OR, NOT)
  • Use field tags to limit searches to specific record parts
  • Employ phrase searching with double quotes for exact matches
  • Apply wildcards for term variations
  • Use proximity searching for terms within specified distances

Example Queries:

# Recent systematic reviews on diabetes treatment
diabetes mellitus[mh] AND treatment[tiab] AND systematic review[pt] AND 2023:2024[dp]

# Clinical trials comparing two drugs
(metformin[nm] OR insulin[nm]) AND diabetes mellitus, type 2[mh] AND randomized controlled trial[pt]

# Author-specific research
smith ja[au] AND cancer[tiab] AND 2023[dp] AND english[la]

Read the full file on GitHub · 335 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 7d ago First seen · 335 lines · 104 tokens per session scan A 0e0bcb897c5e

Subscribe to this mod's changes

alterlab-pubmed is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 8d ago), licensed MIT. It adds 104 tokens to every session and 3,161 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

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