tao-run-on-docker SKILL.md skillA

tao-run-on-docker 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-run-on-docker@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/platform/tao-run-on-docker/SKILL.md
Versions recorded
5
Latest version
v0.1.0, committed Aug 11, 2026
First version recorded
Jul 23, 2026
Size
19,962 bytes
Repository stars
95
License
Apache-2.0

The Docker execution platform for TAO jobs — a local daemon or a remote GPU box via DOCKER_HOST=ssh://user@host. Implements the four-verb consumer contract (submit/status/logs/cancel) over the docker CLI, wired to the job-record, tao-data-io staging, and the redact lint, on top of the underlying docker conventions (--gpus, mounts, NGC auth, inspection, data-root relocation, error modes). Use to run any single-node TAO container action on Docker without the SDK. Trigger keywords — docker…

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

# Docker for NVIDIA GPU Workloads

> **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).

The Docker execution platform: a **consumer** that runs a model/data skill's
spec-bundle by implementing four verbs (`submit`/`status`/`logs`/`cancel`) over
the docker CLI, on a **local daemon or a remote GPU box via
`DOCKER_HOST=ssh://`**. The verbs (§ Execution) sit on top of the docker
conventions in the rest of this file — GPU flags, mounts, NGC auth, inspection,
error modes — which are the *how* the model/data skill defers to. Single-node
only; for multi-node use SLURM or Kubernetes.

Sources: official Docker CLI reference (<https://docs.docker.com/reference/cli/docker/>) and NVIDIA Container Toolkit docs.

## Prerequisites

1. **Host GPU runtime** — by default, NVIDIA driver `>=580`, CUDA Toolkit `>=13.0`, and NVIDIA Container Toolkit `>=1.19.0`. If the selected model's `references/skill_info.yaml` declares `runtime_requirements.gpu_host`, pass those values to `tao-setup-nvidia-gpu-host` instead. Model requirements override the defaults for that workflow.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia-tao/tao-skill-bank/tao-run-on-docker@sha256:bcf21f4eaae43b82

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_qyeo2bg4fygopzvb.svg)](https://markdownregistry.com/a/art_qyeo2bg4fygopzvb)

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

Versions

The registry has recorded 5 versions of this file, between Jul 23, 2026 and Aug 11, 2026, about one every 5 days.

versioncommittedcommitsizeaudit
v0.1.0 latest2026-08-11 115ac6d 19,962 BA view · diff
v0.1.02026-08-10 64c9da4 19,695 BA view · diff
v0.1.02026-08-05 ae5e99c 19,234 BA view · diff
v0.1.02026-08-03 03f2daa 15,599 BA view · diff
v0.1.02026-07-23 5b4e574 9,485 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 (19962 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_qyeo2bg4fygopzvb
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-run-on-docker
GET https://markdownregistry.com/api/v1/blob/bcf21f4eaae43b826ddbdfbc92d0988e921b52a64c1c3560b29a7622dd9344be

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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