model-pruning
Pass
Audited by Gen Agent Trust Hub on Sep 17, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill fetches source code for model pruning implementations from the Locus Lab and IST-DASLab repositories on GitHub.
- [COMMAND_EXECUTION]: The skill executes standard shell commands for environment setup, including
git clonefor code retrieval andpip installfor managing dependencies such astorch,transformers, andaccelerate. - [INDIRECT_PROMPT_INJECTION]: The skill ingests external text data from sources like the C4 and WikiText datasets to calculate activation statistics during the pruning process.
- Ingestion points: External text samples are passed into the
wanda_pruneandSparseGPT.prunefunctions via thecalib_dataparameter. - Boundary markers: No explicit delimiters are used for the calibration data, as the text is used for statistical analysis rather than instruction following.
- Capability inventory: The skill possesses the ability to write to the file system to save compressed models and perform network operations during setup.
- Sanitization: The input text is processed directly to compute activation norms without secondary sanitization filters.
Audit Metadata