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在 OpenClaw 中安装
/install pytorch
功能描述
Avoid common PyTorch mistakes — train/eval mode, gradient leaks, device mismatches, and checkpoint gotchas.
安全使用建议
This skill is a read-only cheat sheet for common PyTorch mistakes and appears safe: it doesn't ask for credentials, install code, or read files. Because it's instruction-only, it will only return text guidance — it will not execute code by itself. Note the skill source/homepage is unknown; if you need higher assurance, prefer skills from a known publisher or ones that link to an official homepage. Also remember this is guidance only — the agent still needs PyTorch/environment set up to run real code, and you should avoid pasting secrets or private data into prompts when asking for debugging help.
功能分析
Type: OpenClaw Skill
Name: pytorch
Version: 1.0.0
The skill bundle contains standard metadata and a `SKILL.md` file that provides educational content on PyTorch best practices. There are no executable commands, instructions for the agent to perform actions, attempts at prompt injection, or any other indicators of malicious or suspicious behavior. The content is purely informational and aligns with the stated purpose.
能力评估
Purpose & Capability
Name/description (PyTorch best-practices) align with the content of SKILL.md. The only declared binary dependency is python3, which is reasonable for a PyTorch-focused skill. The metadata and runtime instructions all focus on model training/inference pitfalls and do not request unrelated capabilities.
Instruction Scope
SKILL.md contains static guidance (train/eval, gradient control, device management, saving/loading, etc.). It does not instruct the agent to run system commands, read files, access environment variables, or transmit data to external endpoints. No scope creep detected.
Install Mechanism
No install spec and no code files are present (instruction-only). That is the lowest-risk model — nothing is downloaded or written to disk by the skill itself.
Credentials
The skill declares no environment variables, no credentials, and no config paths. This is proportionate to an advisory/reference skill that only provides textual recommendations.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent presence, elevated privileges, or modify other skills. Normal autonomous invocation is allowed by platform defaults but there is no indication this skill requires special persistence.
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 pytorch - 安装完成后,直接呼叫该 Skill 的名称或使用
/pytorch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
Initial release
元数据
常见问题
PyTorch 是什么?
Avoid common PyTorch mistakes — train/eval mode, gradient leaks, device mismatches, and checkpoint gotchas. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1264 次。
如何安装 PyTorch?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pytorch」即可一键安装,无需额外配置。
PyTorch 是免费的吗?
是的,PyTorch 完全免费(开源免费),可自由下载、安装和使用。
PyTorch 支持哪些平台?
PyTorch 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。
谁开发了 PyTorch?
由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.0。
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