tao-run-automl SKILL.md skillA
tao-run-automl 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-run-automl@v0.1.1Pins v0.1.1 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/applications/tao-run-automl/SKILL.md- Versions recorded
- 5
- Latest version
- v0.1.1, committed Sep 1, 2026
- First version recorded
- Aug 28, 2026
- Size
- 19,894 bytes
- Repository stars
- 95
- License
- Apache-2.0
Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. Handles algorithm.
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
# TAO AutoML > **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run `tao-setup` first (host preflight, credentials, cross-skill discovery). Run automated hyperparameter optimization for a TAO model by combining: 1. The selected model skill under `skills/models/<model_skill>/`. 2. The selected platform skill under `skills/platform/<platform>/`. 3. `AutoMLRunner`, which generates recommendations, launches selected action jobs, extracts metrics, and feeds results back to the optimizer. Do not launch until model metadata, platform preflight, data visibility, credentials, image choice, and compute shape are all proven. ## Execution Runtime — Hard Gate Every recommendation, baseline evaluation, per-recommendation evaluation, and final evaluation runs in the selected model action's resolved `container_image` by default. Resolve it from the model skill before any training-environment setup. A local checkpoint or Hugging Face model ID does not change this rule. Use venv-based **model execution** only when explicitly requested. Never infer venv mode from `local-docker`, local GPUs, Python, or `pyproject.toml`. If …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-run-automl@sha256:0a2c969473b75e44The line at the top of this page pins the label v0.1.1, 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_jsrrfz5gfsdl5pmk)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Aug 28, 2026 and Sep 1, 2026, more than one a day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.1 latest | 2026-09-01 | b733f10 | 19,894 B | A | view · diff |
| v0.1.1 | 2026-08-28 | 0ea1223 | 19,966 B | A | view · diff |
| v0.1.1 | 2026-08-28 | 614fe51 | 20,050 B | A | view · diff |
| v0.1.1 | 2026-08-28 | 473b93c | 20,055 B | A | view · diff |
| v0.1.1 | 2026-08-28 | 83d6ea9 | 19,842 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 (19894 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_jsrrfz5gfsdl5pmk GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-run-automl GET https://markdownregistry.com/api/v1/blob/0a2c969473b75e44a2bd1ae1fe3a91d335a6a2ed28dd76ce2905453e2c723aa6
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.