tao-run-on-kubernetes SKILL.md skillA
tao-run-on-kubernetes 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-on-kubernetes@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/platform/tao-run-on-kubernetes/SKILL.md- Versions recorded
- 5
- Latest version
- v0.1.0, committed Aug 28, 2026
- First version recorded
- Aug 3, 2026
- Size
- 19,805 bytes
- Repository stars
- 95
- License
- Apache-2.0
Kubernetes execution platform — submits TAO container jobs as k8s Jobs with NVIDIA GPU scheduling; single-pod.
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
# Kubernetes
> **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).
Submits TAO container jobs as Kubernetes Jobs. Works on any cluster reachable via kubeconfig (EKS / GKE / AKS / on-prem) or in-cluster service account (when running inside a pod).
Single-pod by default; opt into multi-node distributed training via `num_nodes > 1` (uses Indexed Job + headless Service, see [Multi-node training](#multi-node-training-distributed) below).
## Preflight
Three checks: GPU host runtime ready, cluster reachable via `kubectl`, GPU
Operator/device plugin present.
```bash
# 0. GPU node host runtime.
# Run this on each self-managed GPU worker node or in the node image build.
# Set TAO_K8S_SKIP_NODE_RUNTIME_CHECK=1 only when using managed GPU nodes whose
# driver/toolkit lifecycle is owned by the cloud provider or GPU Operator policy.
if [ "${TAO_K8S_SKIP_NODE_RUNTIME_CHECK:-0}" != "1" ]; then
TAO_SKILL_BANK_ROOT="${TAO_SKILL_BANK_ROOT:-$PWD}"
SETUP_SCRIPT="${TAO_SKILL_BANK_ROOT}/skills/platform/tao-setup-nvidia-gpu-host/scripts/setup-nvidia-gpu-host.sh"
…Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-run-on-kubernetes@sha256:5aea2bbd3d3eed55The 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_2d3v7cbaahoxf2gs)
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 Aug 28, 2026, about one every 6 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-08-28 | 8f12fbf | 19,805 B | A | view · diff |
| v0.1.0 | 2026-08-11 | 115ac6d | 19,224 B | A | view · diff |
| v0.1.0 | 2026-08-10 | 64c9da4 | 19,089 B | A | view · diff |
| v0.1.0 | 2026-08-05 | ae5e99c | 16,750 B | A | view · diff |
| v0.1.0 | 2026-08-03 | 03f2daa | 16,857 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 (19805 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_2d3v7cbaahoxf2gs GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-run-on-kubernetes GET https://markdownregistry.com/api/v1/blob/5aea2bbd3d3eed55fbdf968c32e1a5463a44cad2ff20791ffdab00705ff37a46
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.