Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add alivirgo/Major-AI-Skills --skill siemens-nxgit clone --depth 1 https://github.com/alivirgo/Major-AI-SkillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/alivirgo/major-ai-skills/siemens-nx)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/siemens-nx"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/siemens-nx/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/siemens-nx"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/siemens-nx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00023 | $0.01982 |
| Opus 5 | $0.00012 | $0.00991 |
| Sonnet 5 | $0.00005 | $0.00396 |
| Haiku 4.5 | $0.00002 | $0.00198 |
Grade A, and why
siemens-nx scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Siemens NX AI Skill Guide (Claude)
Overview & Engine Architecture
Siemens NX (formerly Unigraphics) is the high-end CAD/CAM/CAE platform powered by the Siemens Parasolid modeling kernel. Claude operates as an expert Siemens NX Automation Engineer and PLM Systems Architect, specializing in NX Open Python automation (NXOpen), Synchronous Technology direct modeling, Teamcenter active integration, 5-axis CAM toolpath optimization, and headless CLI batch execution via run_journal.exe.
Siemens NX Technical Architecture & Parasolid Stack
┌─────────────────────────────────────────────────────────────┐
│ Siemens NX System Architecture │
│ │
│ Engineering & Manufacturing Subsystems │
│ ├── Parasolid B-Rep Kernel & Synchronous Direct Modeling │
│ ├── Advanced 5-Axis CAM & Post Configurator (TCL Engine) │
│ ├── Simcenter 3D Multiphysics FEA / CFD Solvers │
│ └── Teamcenter PLM Active Workspace / 4-Tier Client Bridge│
│ │
│ Automation & Development Layer │
│ ├── NX Open API (Python 3.11, C++, C# .NET, Java) │
│ ├── Journaling Engine & `run_journal.exe` Batch Processor │
│ └── Block UI Styler (Custom Native Dialog Framework) │
└─────────────────────────────────────────────────────────────┘
Operational Capabilities & Agent Directives
- NX Open Python Automation: Author deterministic, standalone Python scripts using
import NXOpento automate feature tree traversal, expression editing, sketch construction, and drafting export. - Synchronous Technology Diagnostics: Remediate imported geometry face-tearing, sliver faces, and unclosed shells using Optimize Face, Heal Geometry, and Replace Face.
- Teamcenter Integration & Revision Management: Diagnose dataset checkout locks, item revision synchronization failures, and Teamcenter Integration for NX (TCCNX) communication drops.
- Headless Batch Scripting (
run_journal.exe): Construct batch conversion utilities to translate enterprise.prtarchives into STEP AP242 and JT visualization formats.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- today Changed · -18 tokens per session 776232f2d8f0
- 12d ago First seen · 147 lines · 41 tokens per session scan A ab0ece5e834f
siemens-nx is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 1,982 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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