tao-train-single-step SKILL.md skillA

tao-train-single-step from nvidia-tao/tao-skill-bank is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia-tao/tao-skill-bank/tao-train-single-step@v0.1.0

Pins 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/applications/tao-train-single-step/SKILL.md
Versions recorded
5
Latest version
v0.1.0, committed Aug 5, 2026
First version recorded
Jun 3, 2026
Size
4,771 bytes
Repository stars
95
License
Apache-2.0

Standard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset.

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

# Normal Train

> **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).

Standard supervised fine-tuning: train a model on a labeled dataset, optionally evaluate, then optionally export. The most common TAO workflow for adapting a pretrained model to a new dataset.

## Steps

1. **train** — executed through AutoML when the selected model has
   `automl_enabled: true` and `automl_policy` is `on`; set
   `automl_policy=off` for a plain single training run
2. **eval** — executed if `eval_dataset_uri` is resolved
3. **export** — optional, on user request after training

## Prerequisites

The selected model skill's resolved `container_image` is the default training
runtime. Do not replace it with a host venv, `uv` environment, generic training
image, or hand-written trainer unless the user explicitly requests that
execution mode. SDK/controller Python environments are control-plane-only; the
model action remains container-backed.

### Required
- **model**: A compatible TAO model (e.g., clip, nvdinov2, grounding_dino)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia-tao/tao-skill-bank/tao-train-single-step@sha256:e55d1208fa8c41eb

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_tjsvxyystewbgniz.svg)](https://markdownregistry.com/a/art_tjsvxyystewbgniz)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jun 3, 2026 and Aug 5, 2026, about one every 16 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-08-05 ae5e99c 4,771 BA view · diff
v0.1.02026-08-03 03f2daa 4,448 BA view · diff
v0.1.02026-06-22 91f8bce 3,920 BA view · diff
v0.1.02026-06-08 99ab5a7 3,878 BA view · diff
v0.12026-06-03 94ef697 3,877 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4771 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

GitHub

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_tjsvxyystewbgniz
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-train-single-step
GET https://markdownregistry.com/api/v1/blob/e55d1208fa8c41eb096c3babc30c4ee32f7bf705b5f8931308323f59d173d425

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.

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