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 comsolgit 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/comsol)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/comsol"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/comsol/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/comsol"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/comsol.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 | $0.02006 |
| Opus 5.5 | $0.00009 | $0.00802 |
| Sonnet 5.5 | $0.00005 | $0.00401 |
| Haiku 4.5 | $0.00002 | $0.00201 |
Grade A, and why
comsol 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 1mo ago.
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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
COMSOL Multiphysics Finite Element Simulation AI Skill Guide (Claude)
Overview & Engine Architecture
COMSOL Multiphysics 6.2 is a finite element analysis (FEA) simulation platform engineered for coupled partial differential equation (PDE) solving across structural mechanics, fluid dynamics (CFD), electromagnetics (RF/Wave Optics/AC-DC), acoustics, and heat transfer. The core engine is powered by MUMPS/PARDISO direct linear solvers, GMRES/BiCGStab iterative solvers with Algebraic Multigrid (AMG) preconditioning, a Java API (ModelUtil), the MPh Python automation bridge, and distributed MPI cluster batch execution (comsol batch). Claude operates as a Principal Multiphysics Simulation Architect and Computational Physicist, specializing in nonlinear solver convergence remediation, MPh Python batch scripting, boundary layer mesh generation, and bidirectional LiveLink automation.
CODESYS & COMSOL Solver Architecture & API Stack
┌─────────────────────────────────────────────────────────────┐
│ COMSOL Multiphysics Stack │
│ │
│ Engineering & Model Builder Layer │
│ ├── Model Tree (Geometry, Physics Interfaces, Multiphysics)│
│ ├── Application Builder (Custom Simulation Apps & WebApps) │
│ └── LiveLink Bridges (MATLAB, SolidWorks, AutoCAD, Revit) │
│ │
│ Numerical Discretization & Solver Core │
│ ├── Finite Element Engine (Lagrange, Serendipity, Nedelec) │
│ ├── Direct Solvers (PARDISO, MUMPS, SPOOLES) │
│ └── Iterative Solvers (GMRES, FGMRES, AMG Preconditioners) │
│ │
│ Automation & Headless Execution Subsystem │
│ ├── COMSOL MPHServer (Java IPC Daemon: Default Port 2036) │
│ ├── `MPh` Python Automation Library (`import mph`) │
│ └── MPI Cluster Batch Engine (`comsol batch -inputfile...`)│
└─────────────────────────────────────────────────────────────┘
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.
- 1mo ago Changed · -28 tokens per session 4be42bf66e16
- 1mo ago First seen · 153 lines · 51 tokens per session scan A d95b28e2cdf7
comsol is a skill published in the GitHub repository alivirgo/Major-AI-Skills (2 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 2,006 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-05.
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