— No reviews yet
0 installs
10 views
0.0% view→install
Install
$ agentstack add skill-cheatthegod-biohermes-pubmed-search ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Are you the author of Pubmed Search? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claimAbout
PubMed Search
Search NCBI PubMed for scientific literature using BioPython's Entrez module.
When to Use
- User asks to find papers on a topic
- User wants recent publications in a field
- User asks for references or citations
- User wants to know the state of research on a topic
How to Execute
1. Set up Entrez
from Bio import Entrez
Entrez.email = "bioclaw@example.com"
2. Search PubMed
# Search
handle = Entrez.esearch(db="pubmed", term="CRISPR delivery methods", retmax=20, sort="date")
record = Entrez.read(handle)
handle.close()
id_list = record["IdList"]
print(f"Found {record['Count']} results, showing top {len(id_list)}")
3. Fetch article details
# Fetch details
handle = Entrez.efetch(db="pubmed", id=id_list, rettype="xml")
records = Entrez.read(handle)
handle.close()
for article in records['PubmedArticle']:
medline = article['MedlineCitation']
pmid = str(medline['PMID'])
title = medline['Article']['ArticleTitle']
# Get authors
authors = medline['Article'].get('AuthorList', [])
first_author = f"{authors[0].get('LastName', '')} {authors[0].get('Initials', '')}" if authors else "Unknown"
# Get journal and year
journal = medline['Article']['Journal']['Title']
pub_date = medline['Article']['Journal']['JournalIssue'].get('PubDate', {})
year = pub_date.get('Year', 'N/A')
# Get abstract
abstract_parts = medline['Article'].get('Abstract', {}).get('AbstractText', [])
abstract = ' '.join(str(a) for a in abstract_parts)[:300]
print(f"PMID: {pmid}")
print(f"Title: {title}")
print(f"Authors: {first_author} et al.")
print(f"Journal: {journal} ({year})")
print(f"Abstract: {abstract}...")
print(f"Link: https://pubmed.ncbi.nlm.nih.gov/{pmid}/")
print()
4. Output format for WhatsApp
*PubMed Search: "CRISPR delivery methods"*
_Found 1,234 results. Top 5:_
*1.* Lipid nanoparticle-mediated CRISPR delivery...
_Smith J et al. — Nature (2026)_
PMID: 12345678
pubmed.ncbi.nlm.nih.gov/12345678
*2.* AAV-based CRISPR therapeutics: advances and challenges
_Chen L et al. — Cell (2026)_
PMID: 12345679
pubmed.ncbi.nlm.nih.gov/12345679
5. Advanced searches
Support these query patterns:
"CRISPR"[Title] AND "delivery"[Title]— title-specific"2026"[Date - Publication]— date filter"Nature"[Journal]— journal filterreview[Publication Type]— type filter
6. Follow-up suggestions
After showing results, suggest:
- "Want me to summarize any of these papers?"
- "Should I search with different keywords?"
- "Want me to find related papers to any of these?"
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: cheatthegod
- Source: cheatthegod/BioHermes
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet — be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.