lambda-labs-gpu-cloud
Pass
Audited by Gen Agent Trust Hub on Mar 28, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate instructions, Python API examples, and CLI commands for managing Lambda Labs GPU instances. The content is educational and follows standard developer workflows.
- [EXTERNAL_DOWNLOADS]: The skill references downloads from official and well-known sources including lambdalabs.com, anaconda.com (for Miniconda), and pytorch.org. These resources are necessary for the skill's primary purpose of setting up ML environments.
- [CREDENTIALS_UNSAFE]: No hardcoded credentials or secrets were identified. The skill correctly demonstrates using environment variables (e.g., os.environ['LAMBDA_API_KEY']) and prompts users to manage their own SSH keys securely.
- [COMMAND_EXECUTION]: Shell commands provided for SSH access, instance management, and GPU monitoring are standard utilities (ssh, curl, nvidia-smi, torchrun) used in cloud development. The use of 'curl | sh' patterns is restricted to the official Lambda Labs installation script.
Audit Metadata