comsol-motor-nvh-evidence

comsol-motor-nvh-evidence is a skill for Codex from Cai-aa/CAE-Agent-Hub. It costs 106 tokens per session (1,115 once invoked), scanned A, original, MIT.

A step-by-step workflow for creating and checking computer models of permanent-magnet motors, including noise and vibration analysis. COMSOL is engineering software for simulating physical systems; NVH means noise, vibration, and harshness.

In plain words
What is it for?
Use it to build, resume, solve, validate, and report motor simulations involving magnetic forces, structural vibrations, sound pressure, and far-field sound levels.
Why use it?
It helps ensure that each modelling and solving stage is recorded and supported by evidence instead of relying on an unchecked result.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to build, resume, solve, validate, and report motor simulations involving magnetic forces, structural vibrations, sound pressure, and far-field sound levels.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cai-aa/cae-agent-hub/comsol-motor-nvh-evidence
Install

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.

Any agent
npx skills add Cai-aa/CAE-Agent-Hub --skill comsol-motor-nvh-evidence
Clone the repo
git clone --depth 1 https://github.com/Cai-aa/CAE-Agent-Hub

Made for: Codex.

Wrote 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.

agentmods badge for comsol-motor-nvh-evidence

README.md
[![agentmods](https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/comsol-motor-nvh-evidence/github.svg)](https://agentmods.dev/skills/cai-aa/cae-agent-hub/comsol-motor-nvh-evidence)
Your own site
<a href="https://agentmods.dev/skills/cai-aa/cae-agent-hub/comsol-motor-nvh-evidence"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/comsol-motor-nvh-evidence/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.

agentmods 80×15 button for comsol-motor-nvh-evidence

Your own site · 80×15
<a href="https://agentmods.dev/skills/cai-aa/cae-agent-hub/comsol-motor-nvh-evidence"><img src="https://agentmods.dev/badge/skills/cai-aa/cae-agent-hub/comsol-motor-nvh-evidence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,115 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00106 $0.01115
Opus 5 $0.00053 $0.00558
Sonnet 5 $0.00021 $0.00223
Haiku 4.5 $0.00011 $0.00112

Measured 12d ago against content hash f5a64c7db4ea, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

comsol-motor-nvh-evidence 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 12d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/New-ComsolMotorNvhRun.ps1, scripts/validate_nvh_exports.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Skill/comsol/comsol-motor-nvh-evidence/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

COMSOL Motor NVH Evidence

Execute a checkpointed motor-NVH workflow and prove each completed stage with solver-native evidence. Treat reference models as read-only fact sources, never as the target model.

Required context

  1. Read MCP/COMSOL/README.md and inspect only the files needed for the selected COMSOL backend.
  2. Use the repository COMSOL MCP for installation detection, MPh session startup, model inspection, parameter changes, study execution, evaluation, export, and save-copy operations. Use comsolcompile plus COMSOL batch only when the independent Java API build requires capabilities not exposed by typed MCP tools.
  3. Read references/model-contract.md before creating geometry, physics, studies, or result nodes.
  4. Read references/evidence-gates.md before solving or claiming success.

Execution sequence

  1. Inspect the environment without writing to reference models.
  2. Create a new run directory. Use scripts/New-ComsolMotorNvhRun.ps1 when a project scaffold is needed.
  3. Extract source-backed facts once into facts.json; use that compact file in later stages.
  4. Create the target with ModelUtil.create() for the independent Java API route, or use the MCP MPh session route for an existing user-owned model. Parameterize geometry, selections, materials, physics, mesh, studies, and exports.
  5. Build without solving. Stop if environment, topology, selections, material tables, physics compilation, or mesh gates fail.
  6. Compile with comsolcompile; do not substitute ordinary javac.
  7. Solve structural modes and save a new checkpoint.
  8. Solve the time-periodic electromagnetic field and force harmonics; save a new checkpoint.
  9. Run the mandatory reduced NVH smoke matrix. Do not start the full sweep until every smoke value is finite and traceable.
  10. Run the full speed/harmonic sweep, in batches when memory is constrained.
  11. Postprocess from solved checkpoints. Fix result expressions or export nodes without rerunning physics unless solution evidence is invalid.
  12. Validate exported CSV data with scripts/validate_nvh_exports.py, scan run evidence, and generate the report.

Read the full file on GitHub · 76 lines

Files

What ships with it

5 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.

Changes

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.

  1. 12d ago First seen · 76 lines · 106 tokens per session scan A f5a64c7db4ea

Subscribe to this mod's changes

comsol-motor-nvh-evidence is a skill published in the GitHub repository Cai-aa/CAE-Agent-Hub (877 stars, last pushed 5d ago), licensed MIT. It adds 106 tokens to every session and 1,115 once invoked, about $0.0005 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 2026-08-30.

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