skills/cloudvoyant/codevoyant/mle/Gen Agent Trust Hub

mle

Pass

Audited by Gen Agent Trust Hub on Jun 28, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns, obfuscation, or security vulnerabilities were detected across the analyzed files and code snippets.- [SAFE]: The skill demonstrates security best practices, such as using environment variable placeholders (e.g., '${AWS_ACCESS_KEY_ID}') for secret management in deployment examples and utilizing 'weights_only=True' in 'torch.load' to mitigate risks associated with untrusted model checkpoints.- [EXTERNAL_DOWNLOADS]: External resources and datasets are sourced from well-known and trusted platforms like HuggingFace, OpenML, and official documentation sites, which is standard for machine learning development.- [COMMAND_EXECUTION]: Included shell commands are restricted to standard development tools such as DVC, MLflow, TensorBoard, and Uvicorn, used appropriately for project management, observability, and serving.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 28, 2026, 04:54 PM
Security Audit — agent-trust-hub — mle