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Maxwell Fea Simulation

作者 yongjie666888 · GitHub ↗ · v1.2.0 · MIT-0
cross-platform ✓ 安全检测通过
138
总下载
0
收藏
1
当前安装
3
版本数
在 OpenClaw 中安装
/install maxwell-fea-simulation
功能描述
Maxwell 2D有限元仿真助手 | 用于无刷电机、永磁同步电机、磁路仿真,包含静磁场/瞬态仿真设置、边界条件、参数化扫描、结果提取。当需要进行Maxwell仿真建模、激励设置、求解分析、或提取仿真结果时触发。
安全使用建议
This package appears coherent and focused on Maxwell 2D FEA workflows: it provides templates, guidance, and two Python scripts for generating checklists and post‑processing CSV/exported simulation data. Before installing/using: (1) be aware the Python scripts will create output files (PNGs, printed text) in the working directory; (2) if you choose to install pyedb (ANSYS API) to control Maxwell, verify that package source and licensing are appropriate—pyedb can interact with local Maxwell/ANSYS installations and licenses; (3) review any CSV or data files you pass to the scripts to avoid processing sensitive data; (4) note the skill author/homepage is unknown—although the code is readable and not obfuscated, exercise normal caution when running third‑party scripts from unknown origins (run in an isolated environment if needed).
功能分析
Type: OpenClaw Skill Name: maxwell-fea-simulation Version: 1.2.0 The skill bundle is a legitimate engineering tool for Maxwell 2D motor simulations. The Python scripts (maxwell_post_processor.py and maxwell_simulation_checklist.py) perform standard data analysis, FFT calculations, and report generation without any suspicious network calls, file system modifications, or credential access. The documentation in SKILL.md and the reference files are strictly technical and contain no evidence of prompt injection or malicious instructions.
能力评估
Purpose & Capability
The name/description (Maxwell 2D FEA helper) align with included assets: SKILL.md, reference docs, a checklist generator, and a post‑processor. All declared requirements are empty and consistent with an offline simulation helper. The SKILL.md optionally mentions pyedb for direct Maxwell interaction (expected for this domain).
Instruction Scope
Runtime instructions focus on modeling, solver settings, parametric scans, and running the included post‑processing/checklist scripts. They do not instruct reading unrelated system files, exporting secrets, or contacting unknown network endpoints. The only external interaction suggested is installing pyedb (ANSYS API) if the user wants direct Maxwell control, which is consistent with the skill's purpose.
Install Mechanism
No install spec is provided (instruction+script only), so nothing is downloaded or installed automatically by the skill bundle. This is lower risk; required Python packages are standard scientific libs that user installs explicitly.
Credentials
The skill requires no environment variables, credentials, or config paths. The Python scripts rely on common packages (numpy, scipy, pandas, matplotlib) and optionally pyedb for ANSYS integration—these are appropriate for the stated functionality and do not imply extraneous access to secrets.
Persistence & Privilege
always is false, model invocation is normal, and the skill does not request permanent/system‑wide presence or modify other skills. Scripts write local output images/files (e.g., PNGs) which is expected for post‑processing.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install maxwell-fea-simulation
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /maxwell-fea-simulation 触发
  4. 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
v1.2.0
v1.2: 补充网格质量规范、材料库、速查参数表,完善SKILL.md仿真流程
v1.1.0
新增仿真后处理脚本、参数配置模板库
v1.0.0
首个版本:静磁场/瞬态仿真设置、材料库、网格规范、检查清单
元数据
Slug maxwell-fea-simulation
版本 1.2.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 3
常见问题

Maxwell Fea Simulation 是什么?

Maxwell 2D有限元仿真助手 | 用于无刷电机、永磁同步电机、磁路仿真,包含静磁场/瞬态仿真设置、边界条件、参数化扫描、结果提取。当需要进行Maxwell仿真建模、激励设置、求解分析、或提取仿真结果时触发。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 138 次。

如何安装 Maxwell Fea Simulation?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install maxwell-fea-simulation」即可一键安装,无需额外配置。

Maxwell Fea Simulation 是免费的吗?

是的,Maxwell Fea Simulation 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Maxwell Fea Simulation 支持哪些平台?

Maxwell Fea Simulation 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Maxwell Fea Simulation?

由 yongjie666888(@yongjie666888)开发并维护,当前版本 v1.2.0。

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