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NCBI Gene via E-utilities: curated records across 1M+ taxa. Official symbols, aliases, RefSeq IDs, summaries, coordinates, GO, interactions.
Passed 22 of 22 test cases with the skill, and 13 of 22 without it.
and 17 more in the full report
9 fixed13 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write a Python snippet that constructs an ESearch term for human gene symbol 'TNFSF11', explicitly excluding discontinued gene entries.
| Checked | Without skill | With skill |
|---|---|---|
| The search string contains TNFSF11[sym]. | Missed | Passed |
| The search string contains alive[prop]. | Missed | Passed |
The instructions your model reads when the skill loads.
NCBI Gene is the authoritative curated database for gene-centric information, covering 1M+ genes across hundreds of thousands of taxa. Each gene record includes the official symbol, aliases, full name, functional summary, genomic coordinates (GRCh38/GRCh37), RefSeq accessions, GO annotations, interaction partners, and links to related databases. Access is free via E-utilities REST API (no API key required, though recommended).
gene_gene_homolog retired with HomoloGene in 2019)geo-database; for variant annotations use clinvar-database or ensembl-databaserequests, xml.etree.ElementTree (stdlib), pandas (optional)email parameter)pip install requests pandas
import requests
EMAIL = "[email protected]"
BASE = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils"
def gene_search(query, retmax=5):
r = requests.get(f"{BASE}/esearch.fcgi",
params={"db": "gene", "term": query,
"retmax": retmax, "retmode": "json", "email": EMAIL})
r.raise_for_status()
test cases passed, vs 13 / 22 without
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