mlx

Pass

Audited by Gen Agent Trust Hub on May 7, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides helpful documentation, Python snippets, and CLI examples for the MLX-LM framework. All content is consistent with its stated purpose and follows standard development practices for local machine learning workflows.
  • [EXTERNAL_DOWNLOADS]: The skill references downloading models from the Hugging Face Hub and installing the mlx-lm library from PyPI. These are well-known, industry-standard sources for machine learning models and software, and no suspicious third-party URLs are present.
  • [COMMAND_EXECUTION]: Instructions include standard CLI commands for model generation, conversion, and fine-tuning. These commands are intended to be executed locally by the user and do not include any hidden or malicious shell operations.
  • [DATA_EXFILTRATION]: No patterns of data exfiltration were found. The use of curl in the documentation is limited to interacting with a local server (localhost:8080) for model inference testing, which is a safe and standard procedure.
Audit Metadata
Risk Level
SAFE
Analyzed
May 7, 2026, 05:27 AM
Security Audit — agent-trust-hub — mlx