Home / uchicago-dsi / ai-sci-skills · skills/slurm/SKILL.md · GitHub

slurm skillA

slurm is agent-read markdown (skill) from uchicago-dsi/ai-sci-skills: Inspect queue state, submit or cancel jobs, debug sbatch and submitit runs, and separate scheduler issues from runtime failures. Use when the agent works with Slurm commands, submit scripts, submit.py launchers, or submitit logs..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# 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.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add uchicago-dsi/ai-sci-skills/slurm@git:20260921.9b3de7c
Exact content
mdr add uchicago-dsi/ai-sci-skills/slurm@sha256:dbd6f589e3560295

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

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Versions

versioncommittedcommitsizeaudit
git:20260921.9b3de7c latest2026-09-21 9b3de7c 14,878 BA view · diff
git:20260910.a83a0352026-09-10 a83a035 9,346 BA view · diff
git:20260728.29030532026-07-28 2903053 8,240 BA view · diff
git:20260716.0e01ec72026-07-16 0e01ec7 7,300 BA view · diff
git:20260320.999ac682026-03-20 999ac68 7,216 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (14878 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

GitHub

uchicago-dsi/ai-sci-skills · 20 stars · license MIT · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mwax2wwtxzcaejal
GET https://markdownregistry.com/api/v1/resolve?ref=uchicago-dsi/ai-sci-skills/slurm
GET https://markdownregistry.com/api/v1/blob/dbd6f589e3560295af9d72554f1c73a17e521ccb8987ecccafcaf3971e21dae8

Your agent 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.

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