SKILLEMALL.ai

CD exec-remote-slurm

Remote SLURM cluster development via SSH. Use when running jobs, profiling, or developing on a remote SLURM cluster with pyxis/enroot containers. Covers SSH connection management, srun/sbatch/salloc job patterns, tmux-based allocation persistence, file transfer, and safe remote file access. Works with any SLURM cluster accessible via SSH.

The skillemall take

Promises remote SLURM cluster development over SSH: connection management, srun/sbatch/salloc job patterns, tmux session persistence, and pyxis/enroot container support. Two modules and one script in the repo, but broken references exist—some links point nowhere. Code quality scores 73/100, process execution 47/100, which means instructions are incomplete or vague. No model runs conducted. No critical issues, minor findings present.

For those already familiar with SLURM and remote clusters, it can cut boilerplate time. Beginners will hit walls. Install if you're prepared to fill gaps yourself and verify documentation links.

NVIDIA/TensorRT-LLM Agent Skills author: NVIDIA NOASSERTION 2 files · 1 script body ≈ 9 297 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Remote SLURM cluster development via SSH.

As a process D 47/100 · Unfinished process — References files that are not bundled: references/<cluster>.md, scripts/build.slurm

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
47/100
Unfinished process
References files that are not bundled: references/<cluster>.md, scripts/build.slurm
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 9297 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/<cluster>.md
  • warning missing-ref reference to a missing file: scripts/build.slurm
  • note edit-residue the text marks something as outdated (lines 376): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: references/<cluster>.md, scripts/build.slurm
  • 0Tools and files. 2 referenced file(s) missing: references/<cluster>.md, scripts/build.slurm
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Execution cost. Instruction body is 9297 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 39 steps
  • 100Failures and branches. 8 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 top-level sections: this looks like several domains in one skill
  • high The skill tells the model to perform an irreversible action with no human approval
  • low The response is described with custom markup (66 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 340: enough signal without eating the budget
  • +4Structure: 49 headings
  • +3Step-by-step instructions: 39 items
  • +4Has examples (50 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.