pyvene-interventions
Pass
Audited by Gen Agent Trust Hub on Mar 28, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate technical documentation and code examples for the pyvene library, a well-known open-source framework from Stanford NLP used for causal interpretability research.
- [EXTERNAL_DOWNLOADS]: The instructions reference the installation of standard, reputable machine learning packages (pyvene, torch, transformers) via official registries like PyPI.
- [EXTERNAL_DOWNLOADS]: The skill documents how to save and load intervention configurations from the HuggingFace Hub, which is a standard practice in the machine learning community for sharing and reproducing research artifacts.
- [COMMAND_EXECUTION]: The provided code snippets demonstrate local model execution, activation patching, and training routines using standard PyTorch and Transformers APIs, with no evidence of malicious command injection or unauthorized system access.
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