soperator

soperator is a skill for Claude Code, Codex from nebius/nebius-physical-ai. It costs 64 tokens per session (3,432 once invoked), scanned C, original, Apache-2.0.

A workflow for deploying and operating Slurm on Kubernetes on Nebius. Slurm is a system that schedules batch jobs across computing machines.

In plain words
What is it for?
It helps plan, deploy, inspect, and destroy GPU or high-performance computing clusters and their worker pools.
Why use it?
It removes the need to manually manage the infrastructure recipe and supports repeatable cluster operations.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps plan, deploy, inspect, and destroy GPU or high-performance computing clusters and their worker pools.

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

Made for: Claude Code, 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 soperator

README.md
[![agentmods](https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/soperator/github.svg)](https://agentmods.dev/skills/nebius/nebius-physical-ai/soperator)
Your own site
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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 soperator

Your own site · 80×15
<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/soperator"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/soperator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,432 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00064 $0.03432
Opus 5 $0.00032 $0.01716
Sonnet 5 $0.00013 $0.00686
Haiku 4.5 $0.00006 $0.00343

Measured 8d ago against content hash a4d2a6210e4f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade C, and why

soperator scanned grade C with 1 finding 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 8d 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.

Reaches for credential fileshighPrivilege escalation

SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.

`NPA_SSH_PUBLIC_KEY` path, then `~/.ssh/id_ed25519.pub` / `id_rsa.pub` /
skills/tools/soperator/SKILL.md · 226 lines

How it starts

The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Soperator (Slurm-on-Kubernetes)

When To Use

Use when a customer wants a managed Slurm cluster on Nebius (foundation-model pretraining, large eval sweeps, HPC batch) instead of, or alongside, SkyPilot — and wants npa to drive it. npa soperator deploy wraps the public nebius/nebius-solutions-library soperator Terraform recipe from a compact declarative spec, so customers get a working Slurm cluster without hand-editing the recipe's large tfvars.

Three-tier contract:

  • CLI: npa soperator plan|deploy --spec <cluster.yaml>, npa soperator status --name <n>, npa soperator destroy --name <n>.
  • SDK: npa.sdk.soperator.plan(spec) / deploy(spec) / destroy(name) with SoperatorSpec / WorkerPoolSpec.
  • YAML / agent: apiVersion: npa.soperator/v0.0.1 spec; workflow toolRef: infra.soperator.deploy.
  • Fleet: npa.fleet/v0.0.1 targets may select backend: soperator and embed this same spec under soperator:. Standalone, SDK, and fleet call the same backend lifecycle; fleet remains responsible for identity, selection, concurrency, inventory, and shared-network ownership. Soperator names are fleet-wide physical/context identities and therefore must be unique even when targets belong to different projects.

Spec (npa.soperator/v0.0.1)

Multiple worker pools with different presets are first-class; each pool can enable a node-local Docker/Enroot image cache disk (NETWORK_SSD_IO_M3) so large GPU tool images don't thrash the boot disk.

apiVersion: npa.soperator/v0.0.1
name: npasop                 # company_name; kube context = nebius-<name>-slurm
region: us-central1          # or resolved from ~/.npa config
control_plane:
  system: { min_size: 3, max_size: 24 }         # preset omitted: derive XS..XL upstream
  controller: {}                                # preset omitted: derive with same tier
  login: { preset: 16vcpu-64gb }                 # login needs >= 16vcpu (sufficiency)
workers:
  - name: cpu8
    platform: cpu-d3
    preset: 8vcpu-32gb
    docker_cache: true          # node-local IO_M3 image cache
    docker_cache_gib: 930       # divisible by 93
  - name: gpu
    platform: gpu-b200-sxm
    preset: 8gpu-160vcpu-1792gb # GPU workers must be fabric-capable (8-GPU SXM)
    size: 2
    fabric: us-central1-b       # required for GPU presets; 1-GPU can't cluster
    preemptible: true           # on-demand GPU quota is often 0; preemptible works
    # For reserved capacity, set preemptible: false and exactly one runtime
    # selector. Never commit a live ID/name:
    # capacity_block_group: <capacity-block-group-id>
    # capacity_block_group_name: <unique-capacity-block-group-name>
    docker_cache: true
accounting: false
# omitted REST preserves the legacy default (follows accounting); GPU checks still run directly
slurm_operator_version: "4.1.6"
k8s_version: "1.34"
node_group_version: "72"

Read the full file on GitHub · 226 lines

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. 8d ago First seen · 226 lines · 64 tokens per session scan C a4d2a6210e4f

Subscribe to this mod's changes

soperator is a skill published in the GitHub repository nebius/nebius-physical-ai (29 stars, last pushed today), licensed Apache-2.0. It adds 64 tokens to every session and 3,432 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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