kernelcad-trace-from-image SKILL.md skillA
kernelcad-trace-from-image from w1ne/kernelcad-web is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add w1ne/kernelcad-web/kernelcad-trace-from-image@git:20261014.54c2106Pins git:20261014.54c2106 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- w1ne/kernelcad-web
- Path
src/agent/skills/kernelcad-from-reference/kernelcad-trace-from-image/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261014.54c2106, committed Oct 14, 2026
- First version recorded
- May 20, 2026
- Size
- 12,471 bytes
- Repository stars
- 33
- License
- MIT
Convert pixel-space features from a reference photo into normalized [0,1] waypoints, then into mm coordinates feedable to path().spline / path().nurbsSegment. Uses the trace_from_image MCP tool. Load when your blockout is in place and the next step is an organic-curve outline (eyewear brow, ergonomic handle, sneaker midsole) that would take more than a minute to eyeball off the photo.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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.ts` blockout already in place (from `blockout-model/SKILL.md`). - Reference photo on disk (`./reference.jpg` typically). - 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 …
Read the whole file at its exact version.
How to install
mdr add w1ne/kernelcad-web/kernelcad-trace-from-image@sha256:38f900150a04ec8dThe line at the top of this page pins the label git:20261014.54c2106, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_qeefz6ntjot6is6p)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between May 20, 2026 and Oct 14, 2026, about one every 37 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261014.54c2106 latest | 2026-10-14 | 54c2106 | 12,471 B | A | view · diff |
| git:20261010.bcb9eb3 | 2026-10-10 | bcb9eb3 | 11,240 B | A | view · diff |
| git:20261010.52d8e2a | 2026-10-10 | 52d8e2a | 11,112 B | A | view · diff |
| git:20260914.368450d | 2026-09-14 | 368450d | 10,989 B | A | view · diff |
| git:20260520.baa5210 | 2026-05-20 | baa5210 | 8,983 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12471 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
w1ne/kernelcad-web · 33 stars · license MIT · pushed 2026-10-21 · branch develop
API
GET https://markdownregistry.com/api/v1/artifacts/art_qeefz6ntjot6is6p GET https://markdownregistry.com/api/v1/resolve?ref=w1ne/kernelcad-web/kernelcad-trace-from-image GET https://markdownregistry.com/api/v1/blob/38f900150a04ec8da67183cbf72ef99b275baab1ac327d37f7119bd57650e721
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.