Nim Operator Install
NVIDIA/k8s-nim-operator
Install NVIDIA NIM Operator on Kubernetes with prerequisite checks, optional NVIDIA GPU Operator dependency installation, public or local Helm chart selection, optional Dynamo support, and optional…
A skill your agent uses when validating DCGM Exporter in a local GPU-backed k3d/Kubernetes environment.
Install Local GPU Kubernetes Validation
$ npx skills add NVIDIA/dcgm-exporter --skill local-gpu-kubernetes-validation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/dcgm-exporter local-gpu-kubernetes-validation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA/dcgm-exporter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/local-gpu-kubernetes-validation .claude/skills/local-gpu-kubernetes-validation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "local-gpu-kubernetes-validation" agent skill from https://github.com/NVIDIA/dcgm-exporter/tree/main/.cursor/skills/local-gpu-kubernetes-validation into .claude/skills/local-gpu-kubernetes-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-gpu-kubernetes-validation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA/dcgm-exporter/tree/main/.cursor/skills/local-gpu-kubernetes-validationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA/dcgm-exporter --skill local-gpu-kubernetes-validation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/dcgm-exporter local-gpu-kubernetes-validation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/dcgm-exporter.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.cursor/skills/local-gpu-kubernetes-validation .agents/skills/local-gpu-kubernetes-validation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "local-gpu-kubernetes-validation" agent skill from https://github.com/NVIDIA/dcgm-exporter/tree/main/.cursor/skills/local-gpu-kubernetes-validation into .agents/skills/local-gpu-kubernetes-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-gpu-kubernetes-validation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/dcgm-exporter --skill local-gpu-kubernetes-validation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/dcgm-exporter local-gpu-kubernetes-validation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/dcgm-exporter.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.cursor/skills/local-gpu-kubernetes-validation .cursor/skills/local-gpu-kubernetes-validation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "local-gpu-kubernetes-validation" agent skill from https://github.com/NVIDIA/dcgm-exporter/tree/main/.cursor/skills/local-gpu-kubernetes-validation into .cursor/skills/local-gpu-kubernetes-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-gpu-kubernetes-validation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA/dcgm-exporter.git --path .cursor/skills/local-gpu-kubernetes-validation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA/dcgm-exporter --skill local-gpu-kubernetes-validation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/dcgm-exporter local-gpu-kubernetes-validation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/dcgm-exporter.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.cursor/skills/local-gpu-kubernetes-validation .gemini/skills/local-gpu-kubernetes-validation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "local-gpu-kubernetes-validation" agent skill from https://github.com/NVIDIA/dcgm-exporter/tree/main/.cursor/skills/local-gpu-kubernetes-validation into .gemini/skills/local-gpu-kubernetes-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-gpu-kubernetes-validation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA/dcgm-exporter local-gpu-kubernetes-validationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA/dcgm-exporter --skill local-gpu-kubernetes-validation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/dcgm-exporter.git skills-src && mkdir -p .github/skills && cp -r skills-src/.cursor/skills/local-gpu-kubernetes-validation .github/skills/local-gpu-kubernetes-validation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "local-gpu-kubernetes-validation" agent skill from https://github.com/NVIDIA/dcgm-exporter/tree/main/.cursor/skills/local-gpu-kubernetes-validation into .github/skills/local-gpu-kubernetes-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-gpu-kubernetes-validation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/dcgm-exporter --skill local-gpu-kubernetes-validation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/dcgm-exporter local-gpu-kubernetes-validation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/dcgm-exporter.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.cursor/skills/local-gpu-kubernetes-validation .opencode/skills/local-gpu-kubernetes-validation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "local-gpu-kubernetes-validation" agent skill from https://github.com/NVIDIA/dcgm-exporter/tree/main/.cursor/skills/local-gpu-kubernetes-validation into .opencode/skills/local-gpu-kubernetes-validation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "local-gpu-kubernetes-validation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
local-gpu-kubernetes-validation- GitHub stars
- 1.9k
- Token cost
- ~116 tokens
- SKILL.md length
- 29 words
- Files
- 1
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when validating DCGM Exporter in a local GPU-backed k3d/Kubernetes environment.
- Validating DCGM Exporter in a local GPU-backed k3d/Kubernetes environment
- Calls make
- Tasks that involve Container orchestration
What it does
Local GPU Kubernetes Validation is an agent skill from NVIDIA/dcgm-exporter, published by the product's own GitHub organization. Use when validating DCGM Exporter in a local GPU-backed k3d/Kubernetes environment.
Its SKILL.md is about 120 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in DevOps & Cloud, covering Container orchestration. It works with Kubernetes and NVIDIA AI Platform. The repository describes itself as: NVIDIA GPU metrics exporter for Prometheus leveraging DCGM. The licence is Apache-2.0.
When your agent uses it
- Validating DCGM Exporter in a local GPU-backed k3d/Kubernetes environment
- Tasks that involve Container orchestration
Example prompts
- “/local-gpu-kubernetes-validation”
Requirements
- Docker
What it can do on your machine
Read from SKILL.md and the folder at commit fafd151. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
make
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Local GPU Kubernetes Validation loads about 116 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 29 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from NVIDIA/dcgm-exporter at commit fafd151, republished under its Apache-2.0 licence (© NVIDIA). 29 words, ~116 tokens.
Download SKILL.mdSave it as
.claude/skills/local-gpu-kubernetes-validation/SKILL.md (or your agent's skills folder).- name
- local-gpu-kubernetes-validation
- description
- Use when validating DCGM Exporter in a local GPU-backed k3d/Kubernetes environment.
Local GPU Kubernetes Validation
Prerequisites: Linux, NVIDIA driver, Docker, k3d, kubectl, Helm, NVIDIA Container Toolkit, and a usable GPU.
Typical workflow:
make e2e-local-check
make e2e-local-up
make e2e-local-deploy
make test-e2eUse make e2e-local-logs and make e2e-local-status for triage.
© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .cursor/skills/local-gpu-kubernetes-validation of NVIDIA/dcgm-exporter.
Open the folder on GitHubat commit fafd151
Compare with similar skills
Local GPU Kubernetes Validation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Local GPU Kubernetes Validation this skillNVIDIA/dcgm-exporter | 1.9k | — | ~116 | Automated safety check: Pass | Apache-2.0 | |
| Nim Operator InstallNVIDIA/k8s-nim-operator | 159 | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Nim Operator UninstallNVIDIA/k8s-nim-operator | 159 | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| Dstack Presetsdstackai/dstack | 2.3k | — | ~403 | Automated safety check: Pass | MPL-2.0 | |
| Helm Dev EnvironmentNVIDIA/OpenShell | 15k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | |
| Aicr Analyzing SnapshotsNVIDIA/aicr | 432 | — | ~3.5k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Local GPU Kubernetes Validation
What does Local GPU Kubernetes Validation do?
A skill your agent uses when validating DCGM Exporter in a local GPU-backed k3d/Kubernetes environment. Local GPU Kubernetes Validation is an agent skill from NVIDIA/dcgm-exporter, published by the product's own GitHub organization. Use when validating DCGM Exporter in a local GPU-backed k3d/Kubernetes environment.
When should I use Local GPU Kubernetes Validation?
Local GPU Kubernetes Validation fits situations like: validating DCGM Exporter in a local GPU-backed k3d/Kubernetes environment; tasks that involve Container orchestration.
How do I install Local GPU Kubernetes Validation in Claude Code?
Run `npx skills add NVIDIA/dcgm-exporter --skill local-gpu-kubernetes-validation -a claude-code`. Or copy the skill folder (.cursor/skills/local-gpu-kubernetes-validation in NVIDIA/dcgm-exporter) into .claude/skills/local-gpu-kubernetes-validation in your project. Claude Code loads it when a task matches its description.
How do I install Local GPU Kubernetes Validation in Codex?
Run `npx skills add NVIDIA/dcgm-exporter --skill local-gpu-kubernetes-validation -a codex`. Or copy the skill folder (.cursor/skills/local-gpu-kubernetes-validation in NVIDIA/dcgm-exporter) into .agents/skills/local-gpu-kubernetes-validation in your project. Codex loads it when a task matches its description.
Can I use Local GPU Kubernetes Validation in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/dcgm-exporter --skill local-gpu-kubernetes-validation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/local-gpu-kubernetes-validation, .gemini/skills/local-gpu-kubernetes-validation, .github/skills/local-gpu-kubernetes-validation and .opencode/skills/local-gpu-kubernetes-validation in your project.
What does Local GPU Kubernetes Validation need to run?
Going by SKILL.md and its folder, Local GPU Kubernetes Validation needs the command-line tools its instructions call (make). Our summary lists: Docker.
Does Local GPU Kubernetes Validation access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Local GPU Kubernetes Validation safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Local GPU Kubernetes Validation use?
Local GPU Kubernetes Validation is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Local GPU Kubernetes Validation use?
About 116 tokens (SKILL.md is roughly 464 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Local GPU Kubernetes Validation?
Skills that share tags, products or a category with Local GPU Kubernetes Validation: Nim Operator Install (NVIDIA/k8s-nim-operator, 159 stars), Nim Operator Uninstall (NVIDIA/k8s-nim-operator, 159 stars), Dstack Presets (dstackai/dstack, 2.3k stars) and Helm Dev Environment (NVIDIA/OpenShell, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Local GPU Kubernetes Validation?
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/dcgm-exporter, which has 1,891 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 18, 2026.
Source: NVIDIA/dcgm-exporter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.