model-pruning
Pass
Audited by Gen Agent Trust Hub on Oct 1, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill instructs the user to clone the official Wanda repository (locuslab/wanda) and SparseGPT repository (IST-DASLab/sparsegpt). These are well-recognized research implementations from reputable academic labs (Carnegie Mellon and IST Austria) and represent standard industry practice for model compression research.
- [COMMAND_EXECUTION]: Provides standard installation commands including
git clone,pip install -r requirements.txt, andpip install -e .. These are routine commands for setting up research environments and do not include suspicious flags, sudo execution, or obfuscated payloads. - [COMMAND_EXECUTION]: Includes Python code for performing pruning, which involves standard PyTorch operations such as
register_forward_hook,torch.quantile, and weight masking. All operations are local to the model architecture and do not involve unauthorized file access or network exfiltration.
Audit Metadata