The Agent Skills Directory

[EXTERNAL_DOWNLOADS]: The skill requires the installation of standard, well-known scientific libraries including NumPy, pandas, scikit-learn, SciPy, and Dask via PyPI. These packages are pinned to specific versions for compatibility and are appropriate for the skill's stated purpose of biological data analysis.
[COMMAND_EXECUTION]: The provided Python script and documentation describe the use of Dask's LocalCluster and Client to manage parallel worker processes. This is a standard and expected mechanism for handling the computational load of gene regulatory network inference.
[SAFE]: The wrapper script scripts/basic_grn_inference.py performs rigorous validation of input TSV files, enforcing numeric and finite data types and unique gene identifiers. This effectively mitigates risks associated with processing untrusted data.
[SAFE]: No signs of prompt injection, obfuscation, hardcoded credentials, or persistence mechanisms were found. The skill's behavior matches its scientific description and metadata.

arboreto