fdtd-model

fdtd-model is a command for coding agents from Lex669/LumericalFDTD-skill. It costs 35 tokens per session (184 once invoked), scanned A, original, MIT.

A command for building the computer model used by an FDTD light simulation. It writes Python code describing the device shape, materials, light source, measurement points, and mesh settings.

In plain words
What is it for?
Use it to create a `*_model.py` file for an optical device before running the simulation with a separate command.
Why use it?
It turns a device description into a repeatable modeling script and keeps model building separate from actually running the simulation.

Command

Part of the LumericalFDTD plugin — 5 skills, 4 commands shipped together

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.

agentmods
npx agentmods add commands/lex669/lumericalfdtd-skill/fdtd-model
Clone the repo
git clone --depth 1 https://github.com/Lex669/LumericalFDTD-skill

Or install LumericalFDTD, the plugin that ships this one along with the rest of its 5 skills, 4 commands.

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 fdtd-model

README.md
[![agentmods](https://agentmods.dev/badge/commands/lex669/lumericalfdtd-skill/fdtd-model.svg)](https://agentmods.dev/commands/lex669/lumericalfdtd-skill/fdtd-model)
Your own site
<a href="https://agentmods.dev/commands/lex669/lumericalfdtd-skill/fdtd-model"><img src="https://agentmods.dev/badge/commands/lex669/lumericalfdtd-skill/fdtd-model.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 184 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00035 $0.00184
Opus 5 $0.00017 $0.00092
Sonnet 5 $0.00007 $0.00037
Haiku 4.5 $0.00003 $0.00018

Measured 3d ago against content hash 33bbe8335e90, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fdtd-model 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 3d 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.

commands/fdtd-model.md · 15 lines

What it actually says

FDTD 结构建模

使用 LumericalFDTD-modeling skill 完成以下工作:

  1. 理解需求:确认器件结构(几何参数、材料)、光源(波长范围、偏振)、监视器要求
  2. 编写建模脚本:生成包含结构构建、材料设置、光源、监视器、网格覆盖的 Python 代码
  3. 输出 *_model.py(纯建模,不含 fdtd.run()

如需仿真执行,请使用 /fdtd-simulate。如需端到端全流程,请使用 /fdtd-full

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. 3d ago First seen · 15 lines · 35 tokens per session scan A 33bbe8335e90

Subscribe to this mod's changes

fdtd-model is a command published in the GitHub repository Lex669/LumericalFDTD-skill (23 stars, last pushed 14d ago), licensed MIT. It adds 35 tokens to every session and 184 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 2026-08-30.