Query NCBI ClinVar via E-utilities for variant clinical significance, pathogenicity, disease associations. Search by gene/rsID/condition/review status; returns ClinSig, submitter data, conditions, HGVS. For GWAS use gwas-database; for variant consequence prediction use Ensembl VEP.
SkillScore95Maintained
Automatic
◆Clinical / Healthcare pack
Last verified 8/24/2026
What it changes
Passed 21 of 22 test cases with the skill, and 12 of 22 without it.
Without skill55%
With skill95%
Checks it passed that the model alone missed
The query formats the search term as rs80357906[rs].
The updated code sets rettype="vcv" and is_variationid="true".
The condition term breast cancer uses the [dis] field qualifier.
and 14 more in the full report
9 fixed12 passed either way1 still failing0 broke
Pass-rate lift
+41 pp
Tokens
+224%
Agent turns
0%
Response time
-36%
Model gemini-3.6-flashMeasured 8/24/2026v121 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 9
Prompt
When querying ESummary in JSON mode for variation ID 12375, where in the returned JSON object hierarchy are the phenotype trait names located? Write a brief snippet demonstrating how to retrieve them.
What was checked, without and with the skill
Checked
Without skill
With skill
The snippet locates trait names inside trait_set nested under germline_classification.
Missed
Passed
The code iterates over the trait_set list to extract trait_name.
Passed
Passed
case-12 · gemini-3.6-flash · 8/24/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md469 linessingle file
ClinVar Clinical Variants Database
Overview
ClinVar is NCBI's public archive of interpretations of variants submitted by clinical laboratories, researchers, and expert panels. It contains 2M+ variants with clinical significance classifications (Pathogenic, Likely Pathogenic, VUS, Likely Benign, Benign) for over 6,000 conditions. Access is free and requires no authentication via NCBI E-utilities.
When to Use
Checking whether a specific variant (rsID, HGVS, or genomic position) has a clinical significance classification
Retrieving all pathogenic/likely-pathogenic variants in a gene of interest
Identifying conflicting interpretations between submitting laboratories
Pulling condition/phenotype associations for a variant (MIM, MeSH, HPO terms)
Building variant filtering pipelines that prioritize clinically actionable variants
For somatic cancer variants, also check cosmic-database; for GWAS associations use gwas-database