Map GWAS loci to ranked candidate genes using a deterministic multi-skill chain (EFO -> GWAS -> coordinates -> Open Targets L2G/coloc -> eQTL -> burden/coding context), with reproducible tables and optional figures. Use when a user provides a trait/EFO term and/or lead variants and needs locus-to-gene prioritization for downstream biology decisions.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
High likelihood: at runtime the required workflow fetches external web/API JSON from multiple outsider-controlled endpoints (e.g., EFO OLS, GWAS Catalog REST, Open Targets GraphQL, GTEx/eQTL via subprocess, NCBI RefSNP), and their returned string fields (trait labels/synonyms, gene symbols, warnings/limitations, etc.) are directly used to build the chat-visible markdown summary via `build_summary_markdown()` and returned to the agent.
11c74d6
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