tooluniverse-epigenomics
Pass
Audited by Gen Agent Trust Hub on Mar 30, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is strictly focused on genomics and epigenomics data analysis, using standard Python libraries such as
pandas,numpy,scipy, andstatsmodelsfor computational tasks. Code references demonstrate legitimate use of these libraries for statistical analysis and data transformation. - [SAFE]: External data access is performed through the
tooluniversepackage to reach established scientific services like Ensembl, GTEx, NCBI SRA, and ENCODE. These are well-known technology and research services, and their use in this context is standard and safe. - [SAFE]: Secret management follows security best practices by utilizing an environment variable template (
.env.template) with clear placeholders for API keys, avoiding any hardcoded credentials within the skill's instructions or code. - [SAFE]: Local file system operations are restricted to discovering and loading biological data files (BED, BigWig, CSV) within the project's data directory. There are no patterns suggesting unauthorized access to sensitive system directories or credentials.
Audit Metadata