pydeseq2
Pass
Audited by Gen Agent Trust Hub on Mar 3, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill relies on standard, well-known scientific Python packages including pydeseq2, pandas, and anndata. Installation instructions use standard package managers pointing to official registries.\n- [COMMAND_EXECUTION]: The script scripts/run_deseq2_analysis.py facilitates local data analysis by reading input CSV files and writing results to a user-specified output directory. These operations are standard for data analysis tasks and do not involve arbitrary command execution or privilege escalation.\n- [DATA_EXFILTRATION]: All data processing is performed locally. There are no network operations or external URL requests identified that would lead to data exposure or exfiltration.\n- [PROMPT_INJECTION]: The skill's documentation and reference guides focus on scientific workflows. The system includes data validation points in scripts/run_deseq2_analysis.py that check for numeric consistency and index alignment when ingesting external CSV/TSV data.\n- [SAFE]: Data serialization is handled via pickle for the skill's internal object state (DeseqDataSet), which is common practice in scientific computing for preserving complex object structures.
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