deepops: Instructions file for Codex

AGENTS.md

deepops AGENTS.md is an instructions file for Codex, OpenCode from NVIDIA/deepops. It costs 2,070 tokens per session, scanned A, original, BSD-3-Clause.

Repository instructions for agents working on NVIDIA DeepOps, a system for deploying and managing GPU clusters with Ansible. A GPU cluster is a group of machines equipped for parallel graphics or machine-learning workloads.

In plain words
What is it for?
Finding the relevant playbooks, roles, configuration, inventory, and validation scripts for deploying or checking Slurm or Kubernetes GPU clusters.
Why use it?
They provide the project map and setup guidance needed to work with its Slurm and Kubernetes cluster deployment paths without editing generated or example configuration in the wrong place.

Instructions file for CodexOpenCode ✓ vendor

Written for Codex and OpenCode: the file is AGENTS.md.

This is NVIDIA/deepops's own configuration. It tells Codex and OpenCode how to work on deepops itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything deepops configures →

About the project

DeepOps is a collection of automation tools for deploying and managing compute clusters that use NVIDIA GPUs with Kubernetes or Slurm. It supports environments ranging from full data-center clusters to individual machines needing GPU drivers, Docker, and NVIDIA container support.

NVIDIA/deepops · 1,485 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to NVIDIA/deepops. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/NVIDIA/deepops/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/NVIDIA/deepops

Made for: Codex, OpenCode.

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Per session 2,070 This file is loaded in full into every session.
When invoked 2,070 The same file — it is already loaded in full.
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 $0.02070 $0.02070
Opus 5.5 $0.00828 $0.00828
Sonnet 5.5 $0.00414 $0.00414
Haiku 4.5 $0.00207 $0.00207

Measured today against content hash 3ed6cae84e14, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deepops AGENTS.md 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 today.

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.

AGENTS.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DeepOps agent operating guide

This file is the entry point for AI agents (and new humans) operating this repository. DeepOps deploys and manages GPU clusters — Slurm or Kubernetes on NVIDIA GPU servers — using Ansible. Everything here is driven by playbooks against an inventory you control; there is no server component.

Load only what the task needs: this file for orientation and the golden paths, docs/ for depth, skills/ for step-by-step procedures with failure handling.

Repository map

Path Purpose
playbooks/ Entry points. slurm-cluster.yml and k8s-cluster.yml are the two top-level cluster deploys; subdirectories hold component playbooks.
roles/ Ansible roles (NVIDIA drivers, container toolkit, DGX software, monitoring, Slurm, storage).
config.example/ Template configuration. Copy to config/ and edit; never edit config.example/ for a deployment.
config/ Your site configuration and inventory (git-ignored; created by you).
scripts/validation/ Machine-readable preflight and post-deploy validation. Start here to know if anything worked.
scripts/ Setup and helper scripts (setup.sh installs Ansible and dependencies).
submodules/kubespray Kubernetes deployment engine. Must be initialized before Kubernetes work.
docs/ Topic documentation: deepops/, slurm-cluster/, k8s-cluster/, container/, airgap/.
skills/ Reusable agent procedures with preconditions, commands, expected output, and failure branches.

First-time setup (once per provisioning machine)

git submodule update --init --recursive
./scripts/setup.sh                      # installs Ansible + Galaxy dependencies
cp -r config.example config             # then edit config/inventory
python3 scripts/validation/deepops_doctor.py --json   # verify before deploying

The doctor must report "ok": true (or you must understand every failure) before you run any cluster playbook. With --remote it also proves SSH reachability to every inventory host.

Read the full file on GitHub · 163 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. today Changed · +21 lines · +265 tokens per session 3ed6cae84e14
  2. yesterday Changed · +11 lines · +150 tokens per session cc5e50e61bf1
  3. 18d ago Changed · +10 lines · +150 tokens per session e388867d9bd7
  4. 1mo ago Changed · +13 lines · +152 tokens per session 34394deb6dd4
  5. 2mo ago First seen · 108 lines · 1,353 tokens per session scan A 40cc2998514d

Subscribe to this mod's changes

deepops AGENTS.md is an instructions file published in the GitHub repository NVIDIA/deepops (1,485 stars, last pushed yesterday), licensed BSD-3-Clause. It adds 2,070 tokens to every session, about $0.0083 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 2026-08-30.

Related

deepops AGENTS.md compared with instructions from other repositories

deepops AGENTS.md next to 6 instructions from other repositories
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