Query and annotate gene variants from ClinVar and dbSNP databases. Trigger when: - User provides a variant identifier (rsID, HGVS notation, genomic coordinates) and asks about clinical significance - User mentions "ClinVar", "dbSNP", "variant annotation", "pathogenicity", "clinical significance" - User wants to know if a mutation is pathogenic, benign, or of uncertain significance - User provides VCF content or variant data requiring interpretation - Input: variant ID (rs12345), HGVS notation (NM_007294.3:c.5096G>A), or genomic coordinates (chr17:43094692:G>A) - Output: clinical significance, ACMG classification, allele frequency, disease associations
87
82%
Does it follow best practices?
Impact
99%
1.26xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Security
1 medium severity finding. This skill can be installed but you should review these findings before use.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Third-party content exposure detected (high risk: 1.00). This skill directly queries public databases (e.g., ClinVar and dbSNP via NCBI E-utilities shown in scripts/main.py's _query_clinvar and _query_dbsnp and the SKILL.md "Data Sources" table listing ClinVar, dbSNP, gnomAD, Ensembl VEP, CADD), ingests their user-submitted/untrusted records, and uses that content to compute ACMG scores and drive classification decisions—meeting the criteria for potential indirect prompt injection.
ca9aaa4
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