tao-prepare-anomalygennext-inputs SKILL.md skillA
tao-prepare-anomalygennext-inputs 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-prepare-anomalygennext-inputs@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-prepare-anomalygennext-inputs/SKILL.md- Versions recorded
- 6
- Latest version
- v0.1.0, committed Oct 5, 2026
- First version recorded
- Sep 9, 2026
- Size
- 6,693 bytes
- Repository stars
- 95
- License
- Apache-2.0
Prepare normalized object-detection false negatives, source masks, and clean-image embedding inputs for AnomalyGenNext. Use when turning box-level FN gaps into a frozen, pair-preserving preparation plan. Do not use for training or 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
# Prepare AnomalyGenNext Inputs The first action freezes eligible false-negative identities, isolates each FN mask to its bounding box, selects one deterministic same-type mask, and emits the clean and FN embedding specs. The second action consumes those embedding results, preserves every FN-to-clean pair, and runs native automatic mask placement (AMP) from the AnomalyGenNext container. The final action accepts only pairs for which both mask branches passed AMP, then freezes the exact generation inputs and their hashes. ## Input contract Start from `assets/default_filtering.yaml`. The gap parquet must contain: ```text image_id filepath gap_type bbox class split dataset_id texture_id defect_class anomaly_type fn_mask_source ``` Identity is explicit: `anomaly_type` must equal `texture_id+defect_class`. Preparation intentionally has no filename or directory-layout inference. A caller adapting an unfamiliar dataset must normalize these fields before this boundary. Clean references are resolved independently for each routed FN/type. A missing directory or a directory with no supported images skips only affected FNs with …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-prepare-anomalygennext-inputs@sha256:7473916e433ea017The 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_iyi55zqo2nn6zcuw)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Sep 9, 2026 and Oct 5, 2026, about one every 5 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-10-05 | 843a887 | 6,693 B | A | view · diff |
| v0.1.0 | 2026-10-03 | 7cf2955 | 6,481 B | A | view · diff |
| v0.1.0 | 2026-10-03 | ae97000 | 4,999 B | A | view · diff |
| v0.1.0 | 2026-09-16 | 544149b | 3,997 B | A | view · diff |
| v0.1.0 | 2026-09-09 | f9538a7 | 3,755 B | A | view · diff |
| v0.1.0 | 2026-09-09 | 369ec8e | 3,167 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 (6693 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_iyi55zqo2nn6zcuw GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-prepare-anomalygennext-inputs GET https://markdownregistry.com/api/v1/blob/7473916e433ea0178a5d4972db4c665f66d96bcb0ba1f232ca8d574404597399
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.