bio-single-cell-cell-communication
Pass
Audited by Gen Agent Trust Hub on Aug 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate bioinformatics analysis workflows using standard industry tools (LIANA, CellChat, NicheNet, CellPhoneDB). The logic and instructions are consistent with established scientific practices for single-cell genomics.
- [EXTERNAL_DOWNLOADS]: The documentation in
usage-guide.mdprovides installation commands for packages from standard registries (PyPI, CRAN) and references well-known GitHub repositories (jinworks/CellChat,saeyslab/nichenetr). These resources are standard in the research community and no suspicious download-and-execute patterns were found. - [COMMAND_EXECUTION]: The provided scripts (
examples/cellchat_analysis.R,examples/liana_analysis.py) perform standard data processing, statistical modeling, and visualization within Python and R environments. Subprocess calls and system commands are absent. - [DATA_EXPOSURE]: No hardcoded credentials or unauthorized network operations were identified. The scripts operate exclusively on local datasets (
.h5ad,.rds) and save analysis results (CSV, images) to the local filesystem.
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