rasptorch

Use the rasptorch CLI to create tensors, inspect Vulkan (GPU) availability, build models, and run training.

This skill is a thin wrapper around the rasptorch CLI and appears internally consistent. Before installing or enabling it: 1) ensure you trust the rasptorch binary you will run (the skill executes that binary — if the binary is untrusted it could do anything your account can). 2) Confirm you want the agent to be able to run long-running tasks, start a Streamlit server, or save/load model files; the skill correctly asks for approval for these actions but you should enforce that in your agent policy. 3) If you need stronger isolation, run rasptorch and the agent in a sandboxed environment or inspect the rasptorch package source prior to use.

Type: OpenClaw Skill Name: rasptorch-cli Version: 1.0.0 The skill bundle provides a standard interface for a machine learning CLI tool named 'rasptorch'. The instructions in SKILL.md focus on tensor operations, model management, and hardware status (Vulkan/GPU), and include explicit safety reminders for the agent to seek user approval before performing stateful actions like saving files or starting long-running training sessions.