tao-train-visual-changenet SKILL.md skillA
tao-train-visual-changenet from nvidia-tao/tao-skill-bank is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia-tao/tao-skill-bank/tao-train-visual-changenet@v0.1.0Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia-tao/tao-skill-bank
- Path
skills/models/tao-train-visual-changenet/SKILL.md- Versions recorded
- 5
- Latest version
- v0.1.0, committed Aug 20, 2026
- First version recorded
- Jun 22, 2026
- Size
- 18,816 bytes
- Repository stars
- 95
- License
- Apache-2.0
Visual ChangeNet for binary image classification and segmentation in AOI defect detection. Use when training,.
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
# Visual ChangeNet > **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run the `tao-setup` skill first (host preflight, credentials, cross-skill discovery). Visual ChangeNet is a TAO Toolkit model for visual inspection and defect detection. It supports two tasks: - **Classify** — Binary image classification using a siamese-style architecture with a shared backbone (C-RADIO ViT) and a learnable difference module. Compares image pairs to classify defects as PASS/NO_PASS. - **Segment** — Pixel-level change segmentation using a ViT-Large NVDINOv2 backbone. Compares before/after image pairs to produce a binary change mask. Classify supports the public C-RADIOv2-B backbone and six frozen DINOv3 variants. Read `references/dinov3-backbones.md` before selecting DINOv3; it contains the exact variant map, freeze requirement, Hugging Face access rules, and local-staging overlay. For C-RADIO, use the bundled `scripts/stage_backbone.py` and the mount in `references/local-docker.md`. Segment specs use `model.backbone.type: vit_large_nvdinov2` and the NVDINOv2 checkpoint family. Keep the checkpoint architecture aligned with the backbone …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-train-visual-changenet@sha256:1f767c28086c5827The line at the top of this page pins the label v0.1.0, 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_sjgxctfji2dex7cl)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 22, 2026 and Aug 20, 2026, about one every 15 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-08-20 | 18cddc7 | 18,816 B | A | view · diff |
| v0.1.0 | 2026-08-11 | 366c7ca | 19,896 B | A | view · diff |
| v0.1.0 | 2026-08-05 | ae5e99c | 19,573 B | A | view · diff |
| v0.1.0 | 2026-08-03 | 03f2daa | 19,661 B | A | view · diff |
| v0.1.0 | 2026-06-22 | 1205d56 | 16,974 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 (18816 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
nvidia-tao/tao-skill-bank · 95 stars · license Apache-2.0 · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_sjgxctfji2dex7cl GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-train-visual-changenet GET https://markdownregistry.com/api/v1/blob/1f767c28086c5827c0b440912366867dbf03dbdea09fadc436edf4683536265e
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.