doca-bare-metal-deployment

doca-bare-metal-deployment is a skill for Claude Code, Codex from NVIDIA/skills. It costs 248 tokens per session (2,823 once invoked), scanned A, original, Apache-2.0.

A deployment guide for running a DOCA-linked program directly on NVIDIA BlueField hardware, either on the host computer or on the BlueField processor.

In plain words
What is it for?
Use it for BFB installation, RShim and TMFIFO setup, host PCIe function rebinding, recovery after installation, and running the program on bare metal.
Why use it?
It explains the hardware-specific steps needed to install, recover, supervise, and debug the program without containers or Kubernetes.

Skill for Claude CodeCodex ✓ vendor

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

Good fit Use it for BFB installation, RShim and TMFIFO setup, host PCIe function rebinding, recovery after installation, and running the program on bare metal.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nvidia/skills/doca-bare-metal-deployment
About the project

NVIDIA/skills is a catalogue of portable instruction sets that teach coding agents how to use NVIDIA software for robotics, simulation, CUDA, retrieval-augmented generation, and related workflows. Developers install these skills in agents such as Claude Code or Codex, while the catalogue mirrors skills maintained in separate NVIDIA product repositories.

NVIDIA/skills · 3,873 stars · on GitHub · docs.nvidia.com

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 NVIDIA/skills --skill doca-bare-metal-deployment
Clone the repo
git clone --depth 1 https://github.com/NVIDIA/skills

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 doca-bare-metal-deployment

README.md
[![agentmods](https://agentmods.dev/badge/skills/nvidia/skills/doca-bare-metal-deployment/github.svg)](https://agentmods.dev/skills/nvidia/skills/doca-bare-metal-deployment)
Your own site
<a href="https://agentmods.dev/skills/nvidia/skills/doca-bare-metal-deployment"><img src="https://agentmods.dev/badge/skills/nvidia/skills/doca-bare-metal-deployment/github.svg" alt="Measured on agentmods" height="20"></a>

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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/nvidia/skills/doca-bare-metal-deployment"><img src="https://agentmods.dev/badge/skills/nvidia/skills/doca-bare-metal-deployment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 248 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,823 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00248 $0.02823
Opus 5.5 $0.00099 $0.01129
Sonnet 5.5 $0.00050 $0.00565
Haiku 4.5 $0.00025 $0.00282

Measured 8d ago against content hash fe0e0dff8090, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

doca-bare-metal-deployment 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 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.

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.

skills/doca-bare-metal-deployment/SKILL.md · 252 lines

How it starts

The opening of the file, as written. The whole thing — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DOCA bare-metal deployment

Examples

  • "The binary exits 1 right after launch." — this is in scope. Treat it as a launch / device-bind / isolation failure before rewriting application code.
  • "systemd keeps restarting my DOCA app." — a restart loop on hardware is high-stakes. Debug the first exit before enabling Restart=always.

Instructions

Follow Loading order below. Open the tasks companion for launch / supervise / recover, and the capabilities companion for the runtime contract. Do not open every companion file.

Where to start: This skill is the bundle's home for operating a DOCA-linked application binary directly on hardware — no container, no kubelet, no static-pod manifest. It is the parallel of doca-container-deployment/SKILL.md for the non-container path. If the user has a DOCA-linked binary they built (per the canonical workflow in doca-programming-guide/SKILL.md) and they want to know how to actually run it on the host or on the BlueField Arm cores correctly, open the tasks companion and start at ## configure. If the question is what shape does the bare-metal runtime even have and what is the deployment contract, start at the capabilities companion. If the user is not yet sure whether their target system shape is the container path or the bare-metal path, route the recognition step to doca-setup/SKILL.md first; only return here once bare-metal is the confirmed shape.

Audience

This skill serves external DOCA developers and operators who have a DOCA-linked application binary they built and want to run it directly on hardware — i.e., people who already have:

  • a DOCA-linked application binary they built per doca-programming-guide ## build,
  • a real BlueField NIC and a host that talks to it (the host x86 path — DOCA host install on the host talks to the BlueField NIC over PCIe), OR a BlueField with a console or SSH to the Arm side (the BlueField Arm bare-metal path — DOCA installed on the DPU Arm cores; the binary runs there directly), and
  • a desire to RUN that binary directly on the hardware, not inside a kubelet-standalone-managed container.

Read the full file on GitHub · 252 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 Changed fe0e0dff8090
  2. 15d ago Changed · +1 lines · +3 tokens per session 786bee7d5d2d
  3. 23d ago Changed · +16 lines · -5 tokens per session da5031d88434
  4. 2mo ago First seen · 235 lines · 250 tokens per session scan A fd7304c1e9a6

Subscribe to this mod's changes

doca-bare-metal-deployment is a skill published in the GitHub repository NVIDIA/skills (3,873 stars, last pushed yesterday), licensed Apache-2.0. It adds 248 tokens to every session and 2,823 once invoked, about $0.0010 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.

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