numpy
Pass
Audited by Gen Agent Trust Hub on Sep 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No security concerns were identified during the analysis of the skill. The content consists of standard instructional material and code examples for using the NumPy library.
- [EXTERNAL_DOWNLOADS]: The skill provides instructions for installing NumPy using standard package managers (
pip install numpy,conda install numpy). These references target a well-known, trusted library and are documented for educational purposes. - [COMMAND_EXECUTION]: Code examples demonstrate standard file operations for numerical data, such as saving arrays to text or binary files (
np.savetxt,np.save) and loading them back (np.loadtxt,np.load). These are core functionalities of the library and involve user-specified local filenames.
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