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/w1ne/kernelcad-web/kernelcad-authoringnpx skills add w1ne/kernelCAD-web --skill kernelcad-authoringgit clone --depth 1 https://github.com/w1ne/kernelCAD-webWrote 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/w1ne/kernelcad-web/kernelcad-authoring)<a href="https://agentmods.dev/skills/w1ne/kernelcad-web/kernelcad-authoring"><img src="https://agentmods.dev/badge/skills/w1ne/kernelcad-web/kernelcad-authoring.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 | $0.00055 | $0.20065 |
| Opus 5 | $0.00028 | $0.10032 |
| Sonnet 5 | $0.00011 | $0.04013 |
| Haiku 4.5 | $0.00006 | $0.02006 |
Grade A, and why
kernelcad-authoring 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 3d 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 — 1,277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kernelCAD — authoring
Author or modify kernelCAD models in TypeScript. Scripts live in .kcad.ts files; the kernelCAD CLI (kernelcad evaluate <file> and kernelcad export stl|step|dxf|3mf|glb <file> -o <out>) executes them via an OpenCASCADE WASM kernel.
Agent authoring loop
Use this loop for every non-trivial model edit:
- Classify the job: blockout, production-ish part, reference replication, assembly/mechanism, sheet metal, or standard-part integration. Load the matching specialty skill before editing.
- Write the design brief in plain engineering terms: purpose, external dimensions, interfaces, materials/finish if relevant, moving parts, manufacturability assumptions, and what must be proven. If the request is ambiguous on load-bearing parameters — overall dimensions, units, symmetry, part count, fit/clearance targets — ask 1–3 targeted clarifying questions BEFORE generating geometry; if you proceed anyway, list each assumption in the brief and encode it as a named
param()so the user can correct it without a rewrite. - Map words to geometry: turn important prompt phrases into named source sections, parameters, parts, connectors, materials, or tests so the generated model stays traceable to the user's words.
- Plan parameters and artifacts: identify the
.kcad.tssource file, named parameters, imported STEP files, expected exports, and the smallest verification command set before writing geometry. - Edit source only: treat
.kcad.ts, prompt/brief markdown, and provenance metadata as source. Do not hand-edit generated PNG, MP4, STEP, STL, score JSON, or capture metadata. - Generate explicit targets: run the exact render/export/capture command for the requested artifact. Avoid broad directory refreshes unless the task is a release/demo rebuild.
- Validate deterministically: run
kernelcad evaluate, relevant exports, assembly/review tools, interference checks, and scorer gates before accepting visual evidence. - Inspect visual artifacts honestly: when a PNG/MP4/render is produced, open/read it and report what is visible. If the image shows wrong proportions, floating parts, occlusion, unreadable details, or a bad camera crop, repair source and regenerate.
- Packetize visual evidence: when visual evidence matters, run
kernelcad render inspect <file> <outDir>to produce a deterministic inspection bundle: a manifest naming the source file, command, generated artifacts, and caveats, plus canonical RGB views. Add--channels rgb,mask,depth,normalswhen machine-readable object masks, depth, or view-space normals are needed. Use--focus <names>or--hide <names>to isolate feature ids or assembly part names when clutter would obscure the check. Keep richer channels in the same manifest packet; do not replace the canonical RGB views. - Repair one cause at a time: target the smallest source change that addresses the failing check, then rerun the same check. Do not loosen gates or silently skip failing evidence.
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.
- 3d ago First seen · 1,277 lines · 55 tokens per session scan A bd0bf021ff78
kernelcad-authoring is a skill published in the GitHub repository w1ne/kernelCAD-web (17 stars, last pushed 5d ago), licensed MIT. It adds 55 tokens to every session and 20,065 once invoked, about $0.0003 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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