ruview-model-training
Pass
Audited by Gen Agent Trust Hub on May 12, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill facilitates model training and deployment for the RuView platform. All operations involve local scripts or official tools for well-known services.
- [COMMAND_EXECUTION]: Extensive use of local execution via
cargo,python,node, andbash. These commands are used for standard development tasks such as running training loops, evaluating models, and performing sanity tests on internal crates (wifi-densepose-train,wifi-densepose-sensing-server). - [EXTERNAL_DOWNLOADS]: Interacts with Google Cloud (GCloud) for GPU resources and Hugging Face for model publishing. These are standard integrations for machine learning workflows and use official CLI tools (
gcloud,python scripts/publish-huggingface.py). - [DATA_EXFILTRATION]: No evidence of unauthorized data transmission. Network operations are limited to GCloud authentication/task management and Hugging Face publishing, which are consistent with the skill's stated purpose.
- [CREDENTIALS_UNSAFE]: No hardcoded secrets or sensitive credentials were found. The use of
gcloud auth loginis a standard practice for authenticating a local environment.
Audit Metadata