Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.
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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.
The required workflow makes HTTP calls to outsider-authored public bioinformatics services (e.g., KEGG/UniProt/PSICQUIC/QuickGO/NCBIblast), ingesting returned *free-text* data via methods like `retrieve()/search()/get()/query()` (e.g., `entry.split("\n")`), which can then influence what the agent prints/uses. No exclusion applies because this is not user-authored content nor strictly opaque/structured-only data.
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