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-analyzegit clone --depth 1 https://github.com/Lex669/LumericalFDTD-skillWrote 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/commands/lex669/lumericalfdtd-skill/fdtd-analyze)<a href="https://agentmods.dev/commands/lex669/lumericalfdtd-skill/fdtd-analyze"><img src="https://agentmods.dev/badge/commands/lex669/lumericalfdtd-skill/fdtd-analyze.svg" alt="Measured on agentmods" 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 | $0.00033 | $0.00177 |
| Opus 5 | $0.00016 | $0.00088 |
| Sonnet 5 | $0.00007 | $0.00035 |
| Haiku 4.5 | $0.00003 | $0.00018 |
Grade A, and why
fdtd-analyze 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 5d 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 数据分析
使用 LumericalFDTD-analysis skill 完成以下工作：
- 读取
.npz仿真数据 - 计算光学指标（透射率、模式分布、衍射环、场分布等）
- 生成发表级图表（
.png），保存到pic/目录 - 验证结果是否满足验收条件
分析脚本（
*_analysis.py）修改后可反复执行，无需重跑仿真。如尚未跑仿真，请先使用/fdtd-simulate。
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.
- 5d ago First seen · 16 lines · 33 tokens per session scan A f77a664bd3ab
fdtd-analyze is a command published in the GitHub repository Lex669/LumericalFDTD-skill (23 stars, last pushed 15d ago), licensed MIT. It adds 33 tokens to every session and 177 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.
Other commands, from other repositories
verify-math
Verify a self-authored mathematical result end to end by routing claims across adversarial review, numerical falsification, symbolic or CAS checks, and Lean, then aggregating one report. Use when a theorem, proposition, conjecture, or paper-wide mathematical argument needs the appropriate combination of verification…
master_analysis
Run comprehensive 5-phase analysis across labs, genetics, and protocols.
replication-package
Scaffold or audit a social-science replication package at a target directory, and audit the manuscript and its archived research objects against FAIR principles.
diff
Quantitative volume comparison between a CadQuery model and a reference STEP file.
arg-diagram
ARG academic-paper diagram mode — standalone structural & conceptual diagram generation.
simulation-calibrator
Test and refine simulation accuracy with validation loops, bias detection, and continuous improvement frameworks.