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 skills add k-telux/OpticalModeler --skill thorlabs-blender-optical-pathgit 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/thorlabs-blender-optical-path)<a href="https://agentmods.dev/skills/k-telux/opticalmodeler/thorlabs-blender-optical-path"><img src="https://agentmods.dev/badge/skills/k-telux/opticalmodeler/thorlabs-blender-optical-path/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.
<a href="https://agentmods.dev/skills/k-telux/opticalmodeler/thorlabs-blender-optical-path"><img src="https://agentmods.dev/badge/skills/k-telux/opticalmodeler/thorlabs-blender-optical-path.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00062 | $0.02285 |
| Opus 5.5 | $0.00025 | $0.00914 |
| Sonnet 5.5 | $0.00012 | $0.00457 |
| Haiku 4.5 | $0.00006 | $0.00229 |
Grade A, and why
thorlabs-blender-optical-path 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 18d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpticalModeler 2.0 — Thorlabs Blender Optical Path
Turn a measurement requirement, schematic, or photographed apparatus into an editable, explainable Blender scene. Deliver the requested model and views with evidence that matches the claim. Manufacturer geometry, installed identity, visual readiness, and physical qualification are separate facts.
Load the relevant references
- Read physical-gates.md before geometry, CAD placement, or mechanical review.
- Read evidence-contract.md before declaring any PASS or preparing a release.
- Read history-derived-rules.md when revising an existing scene or when old fixes may have regressed.
- Read project-case-study.md for the complete G1/G2 2D-to-3D example.
- Read fresh-design-and-rendering.md when the user requests a new measurement path, uses an old example as a quality reference, excludes electronics, or reports inadequate detail/beam visibility.
- Read photo-reconstruction-and-revisions.md for photographed setups, constrained layout changes, repeated user corrections, or selectable ports/shutters.
- Read presentation-and-delivery.md for material/light changes, image reuse, interactive opening state, and final delivery.
- Read publication-privacy.md before publishing laboratory-derived guidance or examples. Keep the private identity map outside the public tree.
- Read end-to-end-workflow.md before a whole-system build or large forward test. Use its single-run ledger instead of splitting one system into independently authored modules.
- Read multi-run-qualification.md before a Skill release or scale/stress campaign that must compare multiple fresh whole-system runs.
What ships with it
12 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.
- agents/openai.yaml 352 B
- references/end-to-end-workflow.md 8.0 KB
- references/evidence-contract.md 8.8 KB
- references/fresh-design-and-rendering.md 10 KB
- references/history-derived-rules.md 6.4 KB
- references/multi-run-qualification.md 3.3 KB
- references/photo-reconstruction-and-revisions.md 10 KB
- references/physical-gates.md 9.6 KB
- references/presentation-and-delivery.md 6.7 KB
- references/project-case-study.md 2.7 KB
- references/publication-privacy.md 5.9 KB
- scripts/workflow_ledger.py 23 KB runs code
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.
- 18d ago Changed · +17 lines · -9 tokens per session 38e7e9513c48
- 1mo ago Changed · +5 lines · -19 tokens per session 13b9ca657f67
- 1mo ago First seen · 60 lines · 90 tokens per session scan A 1b9b2b01ae8b
thorlabs-blender-optical-path is a skill published in the GitHub repository k-telux/OpticalModeler (137 stars, last pushed 18d ago), licensed MIT. It adds 62 tokens to every session and 2,285 once invoked, about $0.0002 per session on Opus 5.5. 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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