arboreto
Pass
Audited by Gen Agent Trust Hub on Apr 9, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill references the official Arboreto GitHub repository (tmoerman/arboreto) and suggests standard installation methods via conda and pip. These are well-known and trusted sources within the bioinformatics and data science communities.
- [COMMAND_EXECUTION]: Provides instructions for running local scripts and configuring Dask clusters using
dask-scheduleranddask-worker. These commands are standard for distributed genomic analysis and are used according to best practices. - [DATA_EXFILTRATION]: The skill ingests user-provided expression data and transcription factor files. Analysis of the scripts confirms that data is processed locally or within a user-configured Dask cluster, with results saved to the local file system. No unauthorized network transmission was detected.
- [PROMPT_INJECTION]: Instructions and metadata follow safety guidelines and do not contain any patterns intended to bypass agent constraints or override system behavior.
- [SAFE]: All dependencies, including pandas, dask, and scikit-learn, are industry-standard packages. The code structure, including the required multiprocessing guard for Dask, adheres to standard Python development practices.
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