tao-finetune-anomalygennext SKILL.md skillA
tao-finetune-anomalygennext 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-finetune-anomalygennext@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/data/tao-finetune-anomalygennext/SKILL.md- Versions recorded
- 7
- Latest version
- v0.1.0, committed Oct 6, 2026
- First version recorded
- Sep 9, 2026
- Size
- 5,253 bytes
- Repository stars
- 95
- License
- Apache-2.0
Validate a user AnomalyGenNext dataset and recipe, freeze its validation set, and prepare a canonical texture fine-tuning recipe. Use when AnomalyGenNext task weights do not yet exist. Do not use for ordinary defect generation.
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
# Fine-tune AnomalyGenNext
This leaf prepares a user-owned dataset and optional recipe for task-specific
AnomalyGenNext LoRA training. The pinned image is declared in
`references/skill_info.yaml`; do not replace it with the older 1.0 release.
Read `references/input-contract.md` when validating a dataset or adapting a
recipe, and `references/container-runtime.md` before submission.
## Inputs
```text
DATASET/
defect_spec.jsonl
TEXTURE/
clean_image/*
anomaly_image/DEFECT/*
mask/DEFECT/*
VALIDATION/testcase.jsonl
```
Also supply a DCP-format Cosmos3-Nano base checkpoint directory containing
`checkpoint.json`, `model/.metadata`, and at least one `model/*.distcp` shard,
`Wan2.2_VAE.pth`, and
a complete checkpoint root containing the required Qwen tokenizer model assets
under `hf/` plus `facebook/dinov2-large/` for validation. The `hf/` directory
name is part of the upstream image's fixed checkpoint layout. The validation
JSONL must contain `image_filename`, `mask_filename`, and `anomaly_type`; each trained
`TEXTURE+DEFECT` needs at least three rows. A separately stored defect spec is
accepted with `--defect-spec`.
…Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-finetune-anomalygennext@sha256:dad884f08c93eb66The 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_5a3wb6zs5mbggcfb)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Sep 9, 2026 and Oct 6, 2026, about one every 4 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-10-06 | 778c6af | 5,253 B | A | view · diff |
| v0.1.0 | 2026-10-06 | c982589 | 4,425 B | A | view · diff |
| v0.1.0 | 2026-10-05 | afe066a | 4,175 B | A | view · diff |
| v0.1.0 | 2026-10-03 | b69f378 | 3,973 B | A | view · diff |
| v0.1.0 | 2026-09-09 | bcadd50 | 3,613 B | A | view · diff |
| v0.1.0 | 2026-09-09 | 7737ebf | 2,627 B | A | view · diff |
| v0.1.0 | 2026-09-09 | 03f2a5c | 2,486 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 (5253 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_5a3wb6zs5mbggcfb GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-finetune-anomalygennext GET https://markdownregistry.com/api/v1/blob/dad884f08c93eb667de814dfdce1b25222255849c505870b39ca2f9bdc579715
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.