by k-telux
Evidence-gated Agent Skill for reconstructing 2D photonics schematics as physically auditable Blender optical tables with CAD, beam-path, mechanics, and render proof.
# Add to your Claude Code skills
git clone https://github.com/k-telux/OpticalModelerGuides for using ai agents skills like OpticalModeler.
OpticalModeler is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by k-telux. Evidence-gated Agent Skill for reconstructing 2D photonics schematics as physically auditable Blender optical tables with CAD, beam-path, mechanics, and render proof. It has 56 GitHub stars.
OpticalModeler's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/k-telux/OpticalModeler" and add it to your Claude Code skills directory (see the Installation section above).
OpticalModeler is primarily written in Python. It is open-source under k-telux on GitHub, so you can review or fork the full source.
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Unlocks once the catalog security scan passes (runs nightly).
The deep catalog scan for this skill is still queued. Run an instant dependency check now instead.
From 2D photonics schematics to physically auditable Blender optical tables.
OpticalModeler is an evidence-first Agent Skill for reconstructing laboratory optical paths in Blender. It treats optical topology, real apertures, manufacturer CAD, fasteners, load paths, fiber routing, and artifact lineage as hard acceptance gates—not decorative details.
Independent community project. Not affiliated with or endorsed by Thorlabs, Inc. Product names identify compatible hardware only. A rendered CAD assembly is not a mechanical, spectral, laser-safety, or experimental certification.
| Physical assembly | Optical truth | Fail-closed evidence |
|---|---|---|
| Post-first placement, real table holes, fasteners, load paths, and supported hardware. | Centered apertures, splitter planes, branch continuity, internal fine beams, and fiber bend constraints. | Reopened-scene audits, ray/BVH checks, hashes, manifests, annotated renders, and explicit PASS / BLOCKED / UNVERIFIED states. |
| Original schematic | Annotated 3D reconstruction |
|---|---|
The sanitized G1/G2 case study includes the original 2D input, editorial 3D renders, and a machine-readable acceptance record. Vendor STEP/CAD files and the large laboratory .blend are intentionally excluded.
With a compatible Agent Skills installer:
npx skills add k-telux/OpticalModeler
Or copy skills/thorlabs-blender-optical-path into your agent's skills directory.
Use $thorlabs-blender-optical-path to reconstruct this pump-probe schematic in Blender and produce a fail-closed physical audit.
Audit this optical table for real post/load paths, centered apertures, beam clearance, fiber bend radius, and stale evidence.
The skill guides the agent to:
skills/thorlabs-blender-optical-path/ canonical English skill
i18n/zh-CN/ Simplified Chinese edition
i18n/ja/ Japanese edition
rules/ reusable project-memory template
examples/g1g2/ sanitized 2D-to-3D case study
scripts/validate_repository.py dependency-free release gate
The English skill is the technical source of truth. Localized editions are maintained as language entry points and explicitly defer to the canonical geometry and evidence references.
PARTIAL/SCOPED.See CONTRIBUTING.md for rule proposals and case-study submissions, and SECURITY.md for responsible disclosure.
Maintained by telux. Released under the MIT License.