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 skills/k-telux/opticalmodeler/janpx skills add k-telux/OpticalModeler --skill jagit clone --depth 1 https://github.com/k-telux/OpticalModelerWrote 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/k-telux/opticalmodeler/ja)<a href="https://agentmods.dev/skills/k-telux/opticalmodeler/ja"><img src="https://agentmods.dev/badge/skills/k-telux/opticalmodeler/ja.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 | $0.00100 | $0.01091 |
| Opus 5 | $0.00050 | $0.00545 |
| Sonnet 5 | $0.00020 | $0.00218 |
| Haiku 4.5 | $0.00010 | $0.00109 |
Grade A, and why
thorlabs-blender-optical-path-ja 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 4d 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 — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thorlabs Blender Optical Path
2D 回路図を、説明可能で独立監査可能な Blender 光学テーブルへ変換します。
英語版を技術的な正本とします。形状作業の前に ../../skills/thorlabs-blender-optical-path/references/physical-gates.md、合否判定の前に evidence-contract.md、既存シーンの改訂では history-derived-rules.md、実例では project-case-study.md、全系 run の前に end-to-end-workflow.md、複数 run の scale/release qualification 前に multi-run-qualification.md を読みます。
権限と改訂
- システム制約、最新のユーザー指示・注釈画像、active なプロジェクト規則、本 Skill、旧成果物・旧 PASS の順に優先します。
- 合格済み成果物を凍結し、修正ごとに新しい revision を作ります。
- 全系は一つの run ID、writer、revision、generator/Blend lineage、workflow ledger を使います。補助 agent は既定で read-only とし、別々に書かれた module を全系として結合しません。
- 画像指摘を object family、world-space geometry、数値ゲート、必要証拠へ変換します。
- 実形状で証明できない場合は
UNVERIFIEDまたはBLOCKEDとします。CAD の存在、process success、AABB 接触、自己申告は証拠ではありません。
コア手順
scripts/workflow_ledger.pyで一つの whole-system run spec、state ledger、append-only event hash chain を初期化します。schematic node -> experimental role -> real asset -> optical/fiber/electrical ports -> support pathを作成します。- 全 branch、部品、光線高さ、開口、検出端点を列挙します。
- manifest で固定したメーカー URL だけから公式 CAD を private cache に取得し、atomic placement 前に bytes と SHA-256 を検証します。型番、URL、scale、bbox、local axis/normal、aperture、provenance、redistribution boundary を記録し、明示許諾なしに vendor geometry を公開しません。
- source lock と全 hashed files を一つの atomic input bundle として扱います。形状作業前に producer-to-consumer artifact preflight を実行し、source bytes、canonical/part-qualified CAD cache keys、公式 drawing、runtime が次の script の実消費 path に存在することを確認します。
- 公開 script から semantic lock を差分ゼロで再計算します。multi-state system では全 edge に正確な
active_statesまたは hashed deterministic expansion を持たせ、全 state に明示的 ray template を要求します。 - 光学中心、鏡面、分割面、反射、branch continuity を先に解きます。
- 実テーブル穴から fastener、clamp、holder、post、mount、device を post-first で組みます。
- 共通の配置原因を修正し、同じ run の代表 1 台を証明してから展開し、保存後に全コピーを再監査します。
- beauty render より先に明るい mechanical/axial/cutaway 監査画像を作ります。
- README/GATE 数値を machine evidence から導出し、同じ ledger で reopen、whole-system ray/BVH、OpenCV、GLB reimport、binary/PNG metadata sanitization、manifest、hash、active-rule matrix を完了します。
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.
- 4d ago First seen · 37 lines · 100 tokens per session scan A 7fa121d0556b
thorlabs-blender-optical-path-ja is a skill published in the GitHub repository k-telux/OpticalModeler (213 stars, last pushed 16d ago), licensed MIT. It adds 100 tokens to every session and 1,091 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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