solidworks-automation-skill: Reliable AI Skill + MCP toolkit for agent-driven desktop CAD automation

by wzyn20051216 · MCP Server · ★ 1.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install solidworks-automation-skill

npx github:wzyn20051216/solidworks-automation-skill
git clone https://github.com/wzyn20051216/solidworks-automation-skill.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-toolsai-agentautocadcadcad-automationclaudecodexdesktop-automationdwgdxf

Quick Facts

Stars1,716
Forks152
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score67/100
Open Issues4
Last Updated2026-11-04
Created2026-03-17
Platformsclaude-code, codex, mcp, python
Est. Tokens~17k

About solidworks-automation-skill

SolidWorks Automation Skill 通过 Python COM 接口自动化控制 SolidWorks 的完整工具集,可被 Codex / Claude / OpenClaw(龙虾)等代理直接复用。支持零件建模、装配体、工程图、钣金、焊件、仿真等全流程自动化操作。 关注抖音 @balance. 嵌入式开发、SolidWorks 自动化和 AI 辅助工程实践持续更新 English | 中文 中文 ✨ 特性 🔧 零件建模 - 草图绘制、拉伸、旋转、倒角、圆角、阵列等 🧠 VibeCAD 参数化规划 - 将自然语言需求转换为设计计划、制造规则检查、SolidWorks API 执行摘要和审查门禁 🧵 螺纹孔建模 - 攻丝底孔、M3/M4/M5/M6/M8 盲孔/通孔、孔口倒角、装饰螺纹与可见螺旋线兜底 🧾 AutoCAD / DWG 子技能 - 二维 DWG/DXF...

Compatible Skills

These tools work well together with solidworks-automation-skill for enhanced workflows:

  • lenny_skills_plus — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • CQAsk — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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