bio-single-cell-metabolite-communication
Pass
Audited by Gen Agent Trust Hub on Aug 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate bioinformatics workflows for single-cell metabolic analysis using standard libraries such as
scanpy,anndata, andmebocost. All external references and installation instructions point to official repositories and well-known scholarly publications (e.g., Nucleic Acids Res, Nature Communications, Cell). The instructions emphasize security and data integrity best practices, such as handling ambient RNA contamination and avoiding the comparison of raw counts across different cell depths. No suspicious command execution, persistence mechanisms, or data exfiltration patterns were identified.
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