Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.
80
78%
Does it follow best practices?
Impact
72%
1.16xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/pubmed-database/SKILL.mdProgrammatic PubMed data extraction with Python
Uses Bio.Entrez
0%
0%
ESearch usage
87%
100%
EFetch usage
87%
100%
History server for large sets
100%
100%
Batched retrieval
100%
100%
Rate limit compliance
100%
100%
User-Agent or email header
0%
100%
Local caching
100%
100%
Retry / exponential backoff
100%
100%
README with install instructions
100%
100%
Advanced PubMed search query construction and field tags
PICO framework used
100%
100%
MeSH [mh] tag
90%
100%
MeSH subheading
0%
0%
Drug substance [nm] tag
0%
0%
[tiab] tag usage
100%
100%
Publication type [pt] filter
100%
100%
Date range [dp] syntax
87%
100%
Free full text filter
75%
100%
Synonyms with OR
100%
100%
Boolean AND grouping
100%
100%
Language filter
100%
100%
Elderly population term
100%
100%
Citation matching, export formats, and batch operations
ECitMatch endpoint used
0%
0%
Pipe-delimited citation format
0%
0%
ELink for related articles
86%
66%
EPost for batch UID upload
0%
0%
.nbib export format
0%
100%
Batch export API format
66%
100%
User-Agent or email identification
100%
100%
Output files present
100%
100%
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Table of Contents
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