slurm

slurm is a skill for Codex from uchicago-dsi/ai-sci-skills. It costs 51 tokens per session (3,656 once invoked), scanned A, original, MIT.

A set of procedures for working with Slurm, a system that schedules computing jobs on shared servers or clusters.

In plain words
What is it for?
It helps inspect queues, submit or cancel jobs, debug submission scripts, and report job states and evidence paths.
Why use it?
It helps distinguish problems with job scheduling from problems in the program itself, avoiding unnecessary code changes or resubmissions.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions AGENTS.md.

Good fit It helps inspect queues, submit or cancel jobs, debug submission scripts, and report job states and evidence paths.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uchicago-dsi/ai-sci-skills/slurm
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 uchicago-dsi/ai-sci-skills --skill slurm
Clone the repo
git clone --depth 1 https://github.com/uchicago-dsi/ai-sci-skills

Made for: 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

README.md
[![agentmods](https://agentmods.dev/badge/skills/uchicago-dsi/ai-sci-skills/slurm/github.svg)](https://agentmods.dev/skills/uchicago-dsi/ai-sci-skills/slurm)
Your own site
<a href="https://agentmods.dev/skills/uchicago-dsi/ai-sci-skills/slurm"><img src="https://agentmods.dev/badge/skills/uchicago-dsi/ai-sci-skills/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.

agentmods 80×15 button for slurm

Your own site · 80×15
<a href="https://agentmods.dev/skills/uchicago-dsi/ai-sci-skills/slurm"><img src="https://agentmods.dev/badge/skills/uchicago-dsi/ai-sci-skills/slurm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,656 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 $0.00051 $0.03656
Opus 5.5 $0.00020 $0.01462
Sonnet 5.5 $0.00010 $0.00731
Haiku 4.5 $0.00005 $0.00366

Measured 3d ago against content hash 1ec8a41697b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 3d 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.

skills/slurm/SKILL.md · 283 lines

How it starts

The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Slurm

Use It As A Platform Skill

  • Assume repo and workspace policy has already been loaded into context.
  • Honor the active authorization, quota, logging, and handoff rules for the current workspace.
  • Keep heavy compute off the headnode. Inspect files, edit code, and submit or monitor jobs from the headnode; run real compute on Slurm nodes only.
  • Compose this skill with repo or experiment skills. Let them define intent; use this skill for scheduler choices and failure triage.

Use This Decision Ladder

  1. Discover the project’s environment and command convention from local policy and existing launchers.
  2. Prefer the repo-native launcher, such as a checked-in workflow command, submission entrypoint, or scheduler wrapper.
  3. If cluster policy matters and no trustworthy local note exists, do a light bootstrap of the site facts.
  4. If QoS or partition policy matters, inspect the live scheduler limits instead of relying on memory.
  5. If no higher-level launcher exists, use the checked-in sbatch script or wrapper.
  6. Classify the issue as scheduler-only or runtime-related before changing code or resubmitting.
  7. Report job IDs, states, reasons, and evidence paths precisely.

Bootstrap Site Facts Lightly

  • Shared skills should stay generic. Do not edit the shared skill just because one cluster has special queues or limits.
  • If docs/slurm-site.md exists, read it first.
  • Do not load references/bootstrap.md unless one of these is true:
    • docs/slurm-site.md is missing
    • docs/slurm-site.md is missing required fields needed for the current task
    • live scheduler commands contradict docs/slurm-site.md
  • If local Slurm facts matter and are not already documented nearby, inspect them once, record the durable findings in project-local notes or policy, and reuse that note until contradicted.
  • Write the local site note to docs/slurm-site.md.
  • Required fields for docs/slurm-site.md are:
    • default account
    • default partition
    • preemptible or overflow QoS, if any
    • when to use that QoS
    • important limits
    • native launcher
    • environment convention
  • Refresh the local note only when:
    • commands contradict it
    • admins changed cluster policy
    • a new project uses different launch conventions

Read the full file on GitHub · 283 lines

Files

What ships with it

3 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.

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. 3d ago Changed · +36 lines 1ec8a41697b5
  2. 1mo ago Changed · +102 lines dbd6f589e356
  3. 1mo ago Changed · +14 lines cbe8c839e03b
  4. 1mo ago First seen · 131 lines · 51 tokens per session scan A 37cf7dc36169

Subscribe to this mod's changes

slurm is a skill published in the GitHub repository uchicago-dsi/ai-sci-skills (20 stars, last pushed 4d ago), licensed MIT. It adds 51 tokens to every session and 3,656 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

component-fixtures

Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.

microsoft/vscode · 53 tokens