biopython
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
89
86%
Does it follow best practices?
Impact
95%
1.31xAverage score across 3 eval scenarios
Low
Low-risk findings worth noting
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
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.
Why it was flagged
The skill provides documentation and Python code examples for using the Biopython library, including programmatic access to NCBI databases via Bio.Entrez and NCBIWWW. Because the runtime workflow involves executing code that can fetch remote sequence records and literature data from NCBI, and user-provided inputs or search queries could influence what external data is retrieved and parsed by the agent, this falls under low indirect prompt injection risk (fetching specific outsider/third-party accessible data via active queries).
- Repository
- googolme/run0204
- Commit
4902409
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.