bulk-wgcna-analysis-with-omicverse
Pass
Audited by Gen Agent Trust Hub on Jul 22, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements a standard bioinformatics workflow using the
omicverselibrary. All operations, including data filtering (MAD), soft-threshold calculation, and module detection, are consistent with the Weighted Gene Co-expression Network Analysis (WGCNA) methodology. - [DATA_EXPOSURE]: The skill instructions involve reading local expression matrices (
expressionList.csv) and sample metadata (sampleInfo.csv). This file access is limited to the data files required for the analysis and does not involve sensitive system paths or credentials. - [EXTERNAL_DOWNLOADS]: The skill references the official documentation and tutorial datasets located at
omicverse.readthedocs.io. These are trusted resources for theomicverselibrary used in the skill. - [COMMAND_EXECUTION]: The provided code snippets perform data processing and visualization within the Python environment. No arbitrary shell commands, subprocess spawning, or privilege escalation attempts were detected.
Audit Metadata