tao-mine-aoi-images SKILL.md skillA
tao-mine-aoi-images 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-mine-aoi-images@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-mine-aoi-images/SKILL.md- Versions recorded
- 5
- Latest version
- v0.1.0, committed Sep 16, 2026
- First version recorded
- Aug 3, 2026
- Size
- 15,342 bytes
- Repository stars
- 95
- License
- Apache-2.0
Runs the DEFT embed-then-mine workflow for VCN AOI iterations — embeds the gap-analysis target parquet, embeds a source pool, and mines nearest-neighbour source images for downstream augmentation. Use as the immediate next step after `tao-route-visual-changenet-samples` when expanding a real-image augmentation queue from the mining subset.
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
# DEFT Mining and Embedding Skill > **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). You are the operator of the DEFT embed-then-mine workflow for VCN AOI. Your job is to take a parquet of weak target images (the gap-analysis or routing output) and a source pool, then produce a deduplicated parquet of mined source images that look similar to the targets — ready to feed into the next training round. Iterative DEFT callers also run the bundled history-aware post-processing step so a sample selected in an earlier iteration is not selected again. The workflow is fixed and deterministic: **embed the targets, embed the source pool, mine nearest neighbours, then (for iterative workflows) remove previously mined samples.** Each GPU step's output parquet is the next step's input; history-aware selection is a host-side post-processing step, not another k-NN search. There is no clustering pass or human-in-the-loop selection — depth comes from picking the right encoder and a `topn` wide enough to leave novel candidates after history filtering. …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-mine-aoi-images@sha256:5ab066a629876e05The 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_t7e3bm626qnm4psn)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Aug 3, 2026 and Sep 16, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-09-16 | 917a6a3 | 15,342 B | A | view · diff |
| v0.1.0 | 2026-09-01 | a098df7 | 15,378 B | A | view · diff |
| v0.1.0 | 2026-08-28 | ae022a9 | 15,374 B | A | view · diff |
| v0.1.0 | 2026-08-07 | 6ff49ba | 15,366 B | A | view · diff |
| v0.1.0 | 2026-08-03 | 03f2daa | 12,580 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 (15342 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_t7e3bm626qnm4psn GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-mine-aoi-images GET https://markdownregistry.com/api/v1/blob/5ab066a629876e05ee8adc4897b6506b8ba3388088602ee3882221f3cec11d35
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.