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 w1ne/kernelCAD-web --skill kernelcad-trace-from-imagegit 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-trace-from-image)<a href="https://agentmods.dev/skills/w1ne/kernelcad-web/kernelcad-trace-from-image"><img src="https://agentmods.dev/badge/skills/w1ne/kernelcad-web/kernelcad-trace-from-image/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/w1ne/kernelcad-web/kernelcad-trace-from-image"><img src="https://agentmods.dev/badge/skills/w1ne/kernelcad-web/kernelcad-trace-from-image.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 | $0.00096 | $0.03121 |
| Opus 5.5 | $0.00038 | $0.01248 |
| Sonnet 5.5 | $0.00019 | $0.00624 |
| Haiku 4.5 | $0.00010 | $0.00312 |
Grade A, and why
kernelcad-trace-from-image 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 6d 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 — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kernelcad-trace-from-image
Purpose
This is a coord-extractor, not a vision agent. It takes a reference photo
plus a list of requested features and returns normalized [0,1] waypoints
the agent can convert to mm via a known scale anchor and feed to a
path().spline() / path().nurbsSegment() chain.
Accuracy honesty. opencv's contour is geometrically exact on a uniform-bg
photo. Claude vision is typically 5–10% off on dense landmarks. Every
returned feature carries a per-feature confidence in [0, 1]. Treat the
output as better starting-point waypoints, not pixel-perfect coords —
the model will still need at least one render→inspect pass before finalizing.
Output replaces the burden of eyeballing dozens of (x, y) pairs off a photo;
it does not replace the spec-writer.
Inputs
.kcad.tsblockout already in place (fromblockout-model/SKILL.md).- Reference photo on disk (
./reference.jpgtypically). - A scale anchor from the Real Object Brief — at least one numeric length (mm) over a known fraction of the image width or height. Without a scale anchor the normalized output cannot be lifted to mm.
When to load this skill
Load if all three are true:
- The reference image shows an organic curve — brow, knurl, ergonomic contour, sneaker midsole, eyewear front silhouette.
- The next authoring step is a
path().spline(),path().nurbsSegment(),path().hermiteG2(), or anurbsCurve(...)ref. - Eyeballing the waypoints would take more than ~60 seconds or the
result would be unverifiable (i.e. you could not tell from looking at
your own notes whether
(12.3, 4.1)was right).
Do not load this skill for:
- Box / cylinder / rounded-rect blockouts — every primary dimension already
lives in a
param(). - References where the brief already enumerates the waypoints.
- CAD screenshots (vector geometry already, not a photo).
The trace pipeline (4 steps)
Step 1 — Decide features
Pick the smallest set of features that captures the outline you want.
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.
- 6d ago Changed · +14 lines 38f900150a04
- 10d ago Changed · +4 lines 17de3065f9db
- 1mo ago Changed · +39 lines 757c8dbe6634
- 1mo ago First seen · 209 lines · 96 tokens per session scan A 8d7b9654711a
kernelcad-trace-from-image is a skill published in the GitHub repository w1ne/kernelCAD-web (33 stars, last pushed today), licensed MIT. It adds 96 tokens to every session and 3,121 once invoked, about $0.0004 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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