numpy-docs
Pass
Audited by Gen Agent Trust Hub on Jul 21, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a technical documentation repository for the NumPy library. All external references are directed toward official and well-known domains, such as numpy.org or the official NumPy GitHub repository, which are recognized as trusted services.- [COMMAND_EXECUTION]: Contains illustrative examples of common shell commands for package installation and linting, such as 'pip install numpy' and 'ruff check'. These are standard practices for library management and are used purely for educational purposes.- [DATA_EXFILTRATION]: No sensitive data access or exfiltration patterns were identified. Technical mentions of serialization via 'pickle' are limited to explaining the internal mechanics of Python's multiprocessing module in a legitimate context.
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