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slurm-gpu-training

slurm-gpu-training is a skill for Claude Code, Codex from dongzhuoyao/tao-research-skills. It costs 81 tokens per session (2,061 once invoked), scanned A, original, no licence file.

A guide for running machine-learning training jobs on GPU clusters managed by Slurm, a system that schedules work on shared computing resources. It covers submitting, setting up, monitoring, and diagnosing jobs.

In plain words
What is it for?
Use it to submit training jobs, prepare their environments, track queue and job status, set time limits, and investigate failed runs.
Why use it?
It helps developers handle the steps and common failures involved in sharing GPU computing time on a cluster.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 10repo 4mo ago A scan 81 tokens no licence

Good fit Use it to submit training jobs, prepare their environments, track queue and job status, set time limits, and investigate failed runs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dongzhuoyao/tao-research-skills/slurm-gpu-training
View source ↗ dongzhuoyao/tao-research-skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add dongzhuoyao/tao-research-skills --skill slurm-gpu-training
Clone the repo
git clone --depth 1 https://github.com/dongzhuoyao/tao-research-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for slurm-gpu-training

README.md
[![agentmods](https://agentmods.dev/badge/skills/dongzhuoyao/tao-research-skills/slurm-gpu-training/github.svg)](https://agentmods.dev/skills/dongzhuoyao/tao-research-skills/slurm-gpu-training)
Your own site
<a href="https://agentmods.dev/skills/dongzhuoyao/tao-research-skills/slurm-gpu-training"><img src="https://agentmods.dev/badge/skills/dongzhuoyao/tao-research-skills/slurm-gpu-training/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for slurm-gpu-training

Your own site · 80×15
<a href="https://agentmods.dev/skills/dongzhuoyao/tao-research-skills/slurm-gpu-training"><img src="https://agentmods.dev/badge/skills/dongzhuoyao/tao-research-skills/slurm-gpu-training.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,061 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.02061
Opus 5.5 $0.00032 $0.00824
Sonnet 5.5 $0.00016 $0.00412
Haiku 4.5 $0.00008 $0.00206

Measured 2mo ago against content hash 8737645227e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

slurm-gpu-training scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

commit = subprocess.check_output(["git", "rev-parse", "HEAD"]).decode().strip()
skills/hpc/slurm-gpu-training/SKILL.md · 225 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 225 lines · 81 tokens per session scan A 8737645227e6

Subscribe to this mod's changes

slurm-gpu-training is a skill published in the GitHub repository dongzhuoyao/tao-research-skills (10 stars, last pushed 4mo ago), with no licence file. It adds 81 tokens to every session and 2,061 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Data and AIScientific
Related

slurm-gpu-training compared with skills from other repositories

slurm-gpu-training next to 6 skills from other repositories
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