Install
$ agentstack add skill-cheatthegod-biohermes-query-clinvar ✓ 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
ClinVar Clinical Variant Database
Query NCBI ClinVar for clinical significance of genetic variants.
When to Use
- User asks if a variant is pathogenic
- User wants to find known pathogenic variants in a gene
- User asks about clinical significance of SNPs
- User wants variant-disease associations
How to Execute
from Bio import Entrez
import json
Entrez.email = "bioclaw@example.com"
# 1. Search ClinVar
def search_clinvar(query, max_results=10):
handle = Entrez.esearch(db="clinvar", term=query, retmax=max_results)
record = Entrez.read(handle)
handle.close()
return record
# 2. Fetch variant details
def fetch_clinvar(id_list):
ids = ",".join(str(i) for i in id_list)
handle = Entrez.efetch(db="clinvar", id=ids, rettype="vcv", retmode="xml")
result = handle.read()
handle.close()
return result
# 3. Summary for ClinVar IDs
def clinvar_summary(id_list):
ids = ",".join(str(i) for i in id_list)
handle = Entrez.esummary(db="clinvar", id=ids, retmode="json")
result = json.loads(handle.read())
handle.close()
return result
# Example: Find pathogenic BRCA1 variants
search = search_clinvar("BRCA1[gene] AND clinsig_pathogenic[prop]", max_results=5)
print(f"Total pathogenic BRCA1 variants: {search['Count']}")
if search['IdList']:
summaries = clinvar_summary(search['IdList'])
for uid in search['IdList']:
info = summaries['result'].get(str(uid), {})
title = info.get('title', 'N/A')
clinical_sig = info.get('clinical_significance', {}).get('description', 'N/A')
genes = info.get('genes', [{}])
gene = genes[0].get('symbol', 'N/A') if genes else 'N/A'
print(f"\nVariant: {title}")
print(f"Gene: {gene}")
print(f"Clinical significance: {clinical_sig}")
Common Search Patterns
- Pathogenic variants in gene:
BRCA1[gene] AND clinsig_pathogenic[prop] - By rsID:
rs6025[rsid] - By disease:
"breast cancer"[dis] AND clinsig_pathogenic[prop] - By chromosome region:
17[chr] AND 43000000:44000000[chrpos37] - Germline variants:
BRCA1[gene] AND origin_germline[prop]
Clinical Significance Categories
- Pathogenic, Likely pathogenic, Uncertain significance, Likely benign, Benign
Follow-up Suggestions
- "Want me to check the allele frequency in gnomAD?"
- "Should I look up this variant in Ensembl for more context?"
- "Want me to find all pathogenic variants in this gene?"
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.
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Versions
- v0.1.0 Imported from the upstream source.