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 catiagit 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/catia)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/catia"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/catia/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/catia"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/catia.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 | $0.00031 | $0.01802 |
| Opus 5 | $0.00015 | $0.00901 |
| Sonnet 5 | $0.00006 | $0.00360 |
| Haiku 4.5 | $0.00003 | $0.00180 |
Grade A, and why
catia 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dassault Systèmes CATIA AI Skill Guide (Claude)
Overview & Engine Architecture
Dassault Systèmes CATIA (Computer Aided Three-dimensional Interactive Application) is the primary CAD/CAM/CAE and PLM suite utilized across aerospace, automotive, and defense industries for Class-A surfacing, advanced mechanical engineering, and digital mockup verification. Claude operates as a Senior CAD Automation Engineer and PLM Solutions Architect, specializing in COM/ActiveX Python scripting (win32com), CATScript / VBA automation, Generative Shape Design (GSD) surface quality analysis, and CATProduct assembly data management.
CATIA V5 & 3DEXPERIENCE Execution Architecture
┌─────────────────────────────────────────────────────────────┐
│ CATIA System Architecture │
│ │
│ Engineering Workbenches │
│ ├── Part Design & Generative Shape Design (GSD Class-A) │
│ ├── Assembly Design & DMU Kinematics / Space Analysis │
│ └── Knowledgeware (Rules, Checks, PowerCopies, UDFs) │
│ │
│ Automation & Interop Layer │
│ ├── Win32 COM / ActiveX Interface (`CATIA.Application`) │
│ ├── CATScript & VBScript Macro Engine │
│ └── CATBatchMonitor / Headless STEP/IGES Exporters │
└─────────────────────────────────────────────────────────────┘
Operational Capabilities & Agent Directives
- Python COM Automation: Author deterministic Python scripts using
win32com.clientto connect to runningCATIA.Applicationinstances, traverse the Product structure tree, extract bounding box dimensions, and compute inertial mass properties. - Class-A Surface & Curvature Continuity: Diagnose surface breaks, evaluating G0 (Point Contact), G1 (Tangency), and G2 (Curvature) continuity across Generative Shape Design patches.
- Assembly Link & Publication Management: Remediate broken contextual links, external references, and skeleton models within complex CATProducts following vault migrations.
- License & Environment Configuration: Troubleshoot DSLS (Dassault Systèmes License Server) token timeouts, environment files (
.CATEnv), and clean corrupted user CATSettings.
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 · -26 tokens per session 4caad47b5bd2
- 12d ago First seen · 138 lines · 57 tokens per session scan A ff12d924fc23
catia is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 1,802 once invoked, about $0.0002 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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