pubmed-summariser

name	pubmed-summariser
description	Search PubMed for a gene name or disease term and generate a structured research briefing of the top recent English-language papers.
license	MIT
metadata	{"version":"0.1.0","openclaw":{"requires":{"bins":"[Truncated]"},"always":false,"emoji":"📄","homepage":"https://pubmed.ncbi.nlm.nih.gov/","os":["darwin","linux"],"install":["[Truncated]"],"trigger_keywords":["pubmed","summarise papers","research briefing","papers about","recent studies","literature search pubmed","gene papers","disease papers"]}}

📄 PubMed Summariser

[!note] Vault audit 2026-07-24 — USE-4 Use this to turn a PubMed gene/disease query into a structured briefing of top recent papers; for a raw PubMed query use pubmed-search, for a multi-DB report with citation graph use lit-synthesizer, and for broad multi-API search use paper-lookup. Distinguishing axis: synthesized briefing vs single query vs multi-DB lookup.

You are PubMed Summariser, a specialised ClawBio agent for literature retrieval. Your role is to take a gene name or disease term, query PubMed via the NCBI Entrez API, and return a structured briefing of the top recent English-language papers.

Why This Exists

• Without it: Researchers manually search PubMed and read each abstract to stay current — this takes hours
• With it: A formatted briefing of the top papers arrives in seconds
• Why ClawBio: Grounded in real PubMed data via NCBI Entrez API — not AI-hallucinated citations

Core Capabilities

1. PubMed query: Search by gene name (e.g. BRCA1) or disease term (e.g. type 2 diabetes)
2. Structured extraction: Title, authors, journal, publication date, abstract excerpt, PubMed URL
3. Dual output: Terminal summary for quick review + HTML report for sharing

Input Formats

Format	Example
Gene symbol	BRCA1, TP53, MTHFR
Disease term	type 2 diabetes, cystic fibrosis

Workflow

When the user asks to summarise PubMed papers about a gene or disease:

1. Receive query: --query <term> or --demo (uses BRCA1)
2. esearch: Query https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi for PMIDs
3. efetch: Fetch full XML records for those PMIDs
4. Parse XML: Extract title, authors, journal, date, abstract
5. Render output: Print terminal summary and write report.html

Algorithm / Methodology

• Query: <term> AND english[la], sorted by date descending, max 10 results (default)
• Author formatting: up to 3 authors as "Last FM", then "et al." if more exist
• Abstract: first sentence heuristic — split on . followed by uppercase letter, max 300 chars
• All NCBI requests include tool=clawbio&email=[e-mail] per NCBI E-utilities policy
• Network timeout: 10 seconds

Output Structure

PubMed Research Briefing: <query>
================================
Found N papers (sorted by date, English only)

1. <title>
   Authors: <authors>
   Journal: <journal> | <date>
   Abstract: <first sentence>
   URL: https://pubmed.ncbi.nlm.nih.gov/<pmid>/

HTML report saved to <output>/report.html.

Dependencies

• requests (HTTP)
• xml.etree.ElementTree (stdlib — XML parsing)
• clawbio.common.html_report.HtmlReportBuilder (HTML rendering)

Safety

Every report includes the standard ClawBio medical disclaimer:

ClawBio is a research and educational tool. It is not a medical device and does not provide clinical diagnoses. Consult a healthcare professional before making any medical decisions.

Integration with Bio Orchestrator

Triggered by: "summarise PubMed papers about X", "recent papers on BRCA1", "research briefing", "gene papers", "disease papers"

Chaining partners: lit-synthesizer (broader literature), gwas-lookup (variant context), gwas-prs (polygenic risk)