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rasptorch
作者
Joshua-Ludolf
· GitHub ↗
· v1.0.0
· MIT-0
78
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install rasptorch-cli
功能描述
Use the rasptorch CLI to create tensors, inspect Vulkan (GPU) availability, build models, and run training.
安全使用建议
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.
功能分析
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.
能力评估
Purpose & Capability
The name/description (manage tensors, inspect Vulkan, build/train models) align with the runtime instructions, which call the rasptorch CLI or python -m rasptorch. Required binaries (rasptorch, python/py) are appropriate for this purpose.
Instruction Scope
SKILL.md instructs only CLI invocations and prefers JSON output. It explicitly warns to ask user approval before writing files, launching Streamlit UI, starting long-running servers, or training. It does not instruct reading unrelated files, harvesting environment variables, or sending data to unexpected endpoints.
Install Mechanism
This is an instruction-only skill with no install spec and no bundled code. Nothing is downloaded or written by the skill itself.
Credentials
No environment variables, credentials, or config paths are requested. The declared runtime requirements (presence of rasptorch/python) are proportionate to a CLI integration.
Persistence & Privilege
always is false and the skill does not request elevated or persistent system privileges. It does not modify other skills or system-wide settings. Autonomous invocation is allowed (platform default) but that is expected for skills and not by itself a concern.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install rasptorch-cli - 安装完成后，直接呼叫该 Skill 的名称或使用
/rasptorch-cli触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
rasptorch 1.0.0 initial release:
- Provides skill for interacting with the rasptorch CLI, supporting tensor creation, GPU/Vulkan inspection, model building, and training.
- Adds detailed command usage patterns, emphasizing JSON output and explicit device selection.
- Supports querying environment and Vulkan status, creating random/zero/one tensors, and running various model workflows (create, list, remove, save/load, train).
- Notes usage conditions around long-running UI/chat modes and file writing.
元数据
常见问题
rasptorch 是什么？
Use the rasptorch CLI to create tensors, inspect Vulkan (GPU) availability, build models, and run training. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 78 次。
如何安装 rasptorch？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install rasptorch-cli」即可一键安装，无需额外配置。
rasptorch 是免费的吗？
是的，rasptorch 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
rasptorch 支持哪些平台？
rasptorch 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（windows, linux）。
谁开发了 rasptorch？
由 Joshua-Ludolf（@joshua-ludolf）开发并维护，当前版本 v1.0.0。
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