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.
npx skills add dtunai/agent-skills-for-compute --skill slurmgit clone --depth 1 https://github.com/dtunai/agent-skills-for-computeWrote 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.
[](https://agentmods.dev/skills/dtunai/agent-skills-for-compute/slurm)<a href="https://agentmods.dev/skills/dtunai/agent-skills-for-compute/slurm"><img src="https://agentmods.dev/badge/skills/dtunai/agent-skills-for-compute/slurm/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.
<a href="https://agentmods.dev/skills/dtunai/agent-skills-for-compute/slurm"><img src="https://agentmods.dev/badge/skills/dtunai/agent-skills-for-compute/slurm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00084 | $0.03098 |
| Opus 5 | $0.00042 | $0.01549 |
| Sonnet 5 | $0.00017 | $0.00620 |
| Haiku 4.5 | $0.00008 | $0.00310 |
Grade A, and why
slurm scanned grade A with 0 findings 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 12d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 437 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slurm Workload Manager
Overview
Open-source cluster management and job scheduling system for Linux clusters. Slurm allocates compute resources, provides a framework for executing parallel jobs, and manages resource contention through job queues.
Quick Pattern
Incorrect — missing resource specifications:
# No resource specification, will fail
sbatch my_script.sh
# Implicit assumptions about GPUs
srun python train.py
Correct — explicit resource requests:
# Batch job with resources
sbatch --nodes=2 --ntasks-per-node=4 --gpus=2 --time=02:00:00 my_script.sh
# Interactive with GPU
srun --gpus=1 --mem=16G --pty bash
# Job array with concurrency limit
sbatch --array=0-99%10 --gpus-per-task=1 --mem=8G array_script.sh
Quick Command
# Job submission
sbatch script.sh # Submit batch job
srun command # Interactive execution
salloc -N 2 bash # Allocate resources, spawn shell
# Job monitoring
squeue # View job queue
squeue -u $USER # Your jobs only
sinfo # Partition/node status
sacct -j JOBID # Job accounting info
sstat -j JOBID # Running job stats
# Job control
scancel JOBID # Cancel job
scancel -u $USER # Cancel all your jobs
scontrol hold JOBID # Hold job
scontrol release JOBID # Release held job
Quick Reference
Core Commands
| Command | Purpose |
|---|---|
sbatch |
Submit batch script for later execution |
srun |
Submit job for immediate execution or initiate job step |
salloc |
Allocate resources and spawn shell |
squeue |
View job queue status |
scancel |
Cancel jobs or job steps |
sinfo |
Display partition and node info |
scontrol |
View/modify Slurm state (admin tool) |
sacct |
Job accounting information from database |
sstat |
Resource utilization for running jobs |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 437 lines · 84 tokens per session scan A dcdd74202e32
slurm is a skill published in the GitHub repository dtunai/agent-skills-for-compute (2 stars, last pushed 6mo ago), licensed MIT. It adds 84 tokens to every session and 3,098 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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