scientific-statistical-testing
Pass
Audited by Gen Agent Trust Hub on Jul 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides Python functions for performing scientific statistical tests such as t-tests, ANOVA, and Fisher's exact test using established libraries including SciPy, Pandas, and Statsmodels.\n- [EXTERNAL_DOWNLOADS]: The skill references 'bio.tools' in its metadata as a tool registry; this is a well-known community resource for bioinformatics. No actual network downloads or remote code execution logic is present in the skill code.\n- [DATA_EXFILTRATION]: Analysis results are saved to local files in 'results/' and 'figures/' directories. There are no functions that attempt to transmit data to external network endpoints or access sensitive system credentials.\n- [COMMAND_EXECUTION]: All logic is contained within standard Python functions. There are no calls to subprocesses, shell commands, or dynamic code execution wrappers like eval() or exec().
Audit Metadata