linear-algebra-applications
Pass
Audited by Gen Agent Trust Hub on Apr 2, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill contains standard, well-documented implementations for mathematical operations including matrix factorization, eigenvalue analysis, and Principal Component Analysis (PCA).
- [EXTERNAL_DOWNLOADS]: Utilizes industry-standard libraries
numpyandscipyfor numerical computing tasks. These are well-known, trusted packages in the scientific computing ecosystem. - [COMMAND_EXECUTION]: No shell commands or arbitrary code execution patterns were identified. All logic is contained within standard Python function definitions.
- [DATA_EXFILTRATION]: No network operations or sensitive file access patterns were detected. The code operates exclusively on local data arrays provided as input.
- [METADATA_POISONING]: Metadata is consistent with the skill's stated purpose and originates from the declared author infrastructure.
Audit Metadata