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 skill’s required workflow makes runtime HTTP/API calls to outsider-authored public bioinformatics services (e.g., UniProt/KEGG/PSICQUIC/QuickGO/NCBI), and the returned free-text payloads (tables/FASTA/XML/TSV/entry text) are then parsed and printed/handled in the program, which in an agent setting would commonly be forwarded into the LLM context.
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