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AF tao-run-on-slurm

Remote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed results. Use when running TAO training/eval/inference jobs on an on-prem or DGX SLURM cluster. Trigger phrases include "run on SLURM", "submit sbatch", "DGX SLURM cluster", "Pyxis/Enroot container", "Lustre dataset".

ClawHub Agent Skills author: NVIDIA 1 file body ≈ 2 765 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Remote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed results.

As a process F 63/100 · Will not run — References files that are not bundled: references/slurm-ssh-credentials.md, references/slurm-container-execution.md, references/slurm-execution-sdk.md

ProcedureInfrastructureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
95
Quality 40%
82
Run on models
none yet
Process rating
F
63/100
Will not run
References files that are not bundled: references/slurm-ssh-credentials.md, references/slurm-container-execution.md, references/slurm-execution-sdk.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Bash

Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/slurm-ssh-credentials.md
  • warning missing-ref reference to a missing file: references/slurm-container-execution.md
  • warning missing-ref reference to a missing file: references/slurm-execution-sdk.md
  • warning missing-ref reference to a missing file: references/slurm-preflight-storage.md
  • warning missing-ref reference to a missing file: references/detailed-guide.md

Process rating: all ten parameters 63/100

Will not run. References files that are not bundled: references/slurm-ssh-credentials.md, references/slurm-container-execution.md, references/slurm-execution-sdk.md
  • 0Tools and files. 5 referenced file(s) missing: references/slurm-ssh-credentials.md, references/slurm-container-execution.md, references/slurm-execution-sdk.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 45 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2765 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (12 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

  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 321: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 45 items
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.