tao-run-on-slurm agent skill by NVIDIA
Remote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed results. Use when running TAO training/eval/inference jobs on an on-prem or DGX SLURM cluster. Trigger phrases include "run on SLURM", "submit sbatch", "DGX SLURM cluster", "Pyxis/Enroot container", "Lustre dataset".
Source and license
| Publisher | NVIDIA |
|---|---|
| Repository | NVIDIA/skills |
| License | Apache-2.0 |
| Snapshot | 2026-10-22 |
| Last repository commit | 2026-10-17 |
| Instruction size | 2,523 words; 373 lines |
| Bundled files | 12 |
Suede Skill Check: 88/100 · B
Report snapshot · · graded-v2
The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.
Source revision: 4fc9cf6cec78. Report version b2a437545b57. Badge URLs follow the latest listing; save the report to keep this version.
Download report · Request a fresh review
What to review next
- Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
- Bundled scripts: 0 of 2 points. 2 when the skill folder ships a scripts/ folder.
Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.
| Component | Points earned | Available |
|---|---|---|
| Structural checks | 56 | 56 |
| Description length | 5 | 5 |
| Boundary clause | 0 | 4 |
| Example request | 3 | 3 |
| Instruction depth | 7 | 7 |
| Reference files | 3 | 3 |
| Bundled scripts | 0 | 2 |
| Recent maintenance | 9 | 9 |
| Curated-list citations | 1 | 7 |
| Tool permissions declared | 2 | 2 |
| Compatibility declared | 2 | 2 |
The published score is capped at 99. It measures the published files, documentation and maintenance signals. Security scan: not scanned. This assessment does not include a runtime test or a full installation-dependency review.
Install tao-run-on-slurm
The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.
npx skills add https://github.com/NVIDIA/skills/tree/main/skills/tao-run-on-slurmtmp="$(mktemp -d)"
git clone --depth 1 https://github.com/NVIDIA/skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/tao-run-on-slurm .claude/skills/
rm -rf "$tmp"tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/NVIDIA/skills.git "$tmp/repo"
mkdir -p .agents/skills
cp -R "$tmp/repo/"skills/tao-run-on-slurm .agents/skills/
rm -rf "$tmp"For a user-level install, copy the folder to ~/.claude/skills/ (Claude Code) or ~/.agents/skills/ (Codex). Inside Codex, $skill-installer can also fetch a skill from GitHub. New to skills? Read How to install agent skills in Claude Code, Codex and Cursor.
NVIDIA/skills is third-party code. Read SKILL.md and any bundled scripts before you install it.
Two badges for tao-run-on-slurm
Choose the numeric badge, the letter badge, or both. Each links to this skill’s Suede AI listing; either valid linked badge can qualify for the feature offer.
[](https://suedeai.directory/nvidia/skills/tao-run-on-slurm/)
[](https://suedeai.directory/nvidia/skills/tao-run-on-slurm/)<a href="https://suedeai.directory/nvidia/skills/tao-run-on-slurm/"><img src="https://suedeai.directory/nvidia/skills/tao-run-on-slurm/score.svg" alt="Suede Skill Check: 88/100" width="160" height="175"></a>
<a href="https://suedeai.directory/nvidia/skills/tao-run-on-slurm/"><img src="https://suedeai.directory/nvidia/skills/tao-run-on-slurm/badge.svg" alt="Suede Skill Check: Grade B" width="160" height="175"></a>Suede Certified on the shield refers to this published structural quality check. Security scan: not scanned. Read the methodology.
Limited-time feature offer: Display either quality badge in your repository or skill README, linked to your listing, then request verification. Suede AI checks the rendered README at a recorded commit. Eligible skills scoring 80–99 with a verified badge can receive a featured placement while the offer is open. Request badge verification.
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