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 agentmods add commands/lex669/lumericalfdtd-skill/fdtd-simulategit clone --depth 1 https://github.com/Lex669/LumericalFDTD-skillWhat 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 | $0.00036 | $0.00207 |
| Opus 5 | $0.00018 | $0.00103 |
| Sonnet 5 | $0.00007 | $0.00041 |
| Haiku 4.5 | $0.00004 | $0.00021 |
Grade A, and why
fdtd-simulate 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.
What it actually says
FDTD 仿真执行
使用 LumericalFDTD-simulation skill 完成以下工作：
- 环境探测（本会话首次）— 定位 Lumerical Python 解释器
- 运行仿真脚本 — 调用 Lumerical Python 解释器执行
*_sim.py - 错误处理循环（最多 5 次）— 按
common-errors.md排查修复，自动重试 - 确认输出 — 验证
.fsp和.npz文件已正确生成
需要先有仿真脚本。如尚未建模，请先使用
/fdtd-model。如需完整流程，请使用/fdtd-full。
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.
- 3d ago First seen · 16 lines · 36 tokens per session scan A 9827eeef0077
fdtd-simulate is a command published in the GitHub repository Lex669/LumericalFDTD-skill (23 stars, last pushed 13d ago), licensed MIT. It adds 36 tokens to every session and 207 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.
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