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 | $0.00071 | $0.01559 |
| Opus 5 | $0.00036 | $0.00779 |
| Sonnet 5 | $0.00014 | $0.00312 |
| Haiku 4.5 | $0.00007 | $0.00156 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Thorlabs Blender Optical Path
Turn a measurement requirement or 2D optical schematic into a physically explainable, independently auditable Blender scene.
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 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.
Authority and revision rules
- Apply system constraints first, then the newest explicit user wording or annotated screenshot, then active project rules, then this general skill, and only then older artifacts or PASS labels.
- Freeze submitted or accepted packages. Make corrections in an active revision without overwriting frozen evidence; group related fixes before submission instead of publishing a version for every preview.
- Keep one writer, run ID, revision root, deterministic generator lineage, saved-Blend lineage, and workflow ledger for the whole system. Use helpers only as read-only reviewers unless an isolated non-shared asset scope is explicit; never stitch independently authored modules into a whole-system claim.
- Translate every correction into object families, world-space geometry, a measurable gate, and required evidence before editing.
- Use
BLOCKEDorUNVERIFIEDwhen real geometry or evidence is missing. File existence, imported CAD, process success, labels, AABB contact, and self-reported text are not proof.
What ships with it
9 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 312 B
- references/end-to-end-workflow.md 8.0 KB
- references/evidence-contract.md 8.1 KB
- references/fresh-design-and-rendering.md 8.8 KB
- references/history-derived-rules.md 6.4 KB
- references/multi-run-qualification.md 3.3 KB
- references/physical-gates.md 7.3 KB
- references/project-case-study.md 2.7 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.
- 5d ago Changed · +5 lines · -19 tokens per session 13b9ca657f67
- 11d 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 (216 stars, last pushed 6d ago), licensed MIT. It adds 71 tokens to every session and 1,559 once invoked, about $0.0004 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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