Install Miles Diffusion
radixark/miles_diffusion
Fallback installer for milesdiffusion on a bare CUDA 12.9 Linux GPU box, reproducing the official radixark/milesdiffusion image's package versions and verifying them.
Guide users through Cosmos3 installation, environment setup, checkpoint downloading, and verification.
$ npx skills add NVIDIA/cosmos-framework --skill cosmos3-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/cosmos-framework cosmos3-setup --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/cosmos-framework.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/cosmos3-setup .claude/skills/cosmos3-setup && 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 "cosmos3-setup" agent skill from https://github.com/NVIDIA/cosmos-framework/tree/main/.agents/skills/cosmos3-setup into .claude/skills/cosmos3-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cosmos3-setup", 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/cosmos-framework/tree/main/.agents/skills/cosmos3-setupType 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/cosmos-framework --skill cosmos3-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/cosmos-framework cosmos3-setup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/cosmos-framework.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/cosmos3-setup .agents/skills/cosmos3-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cosmos3-setup" agent skill from https://github.com/NVIDIA/cosmos-framework/tree/main/.agents/skills/cosmos3-setup into .agents/skills/cosmos3-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cosmos3-setup", 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/cosmos-framework --skill cosmos3-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/cosmos-framework cosmos3-setup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/cosmos-framework.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/cosmos3-setup .cursor/skills/cosmos3-setup && 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 "cosmos3-setup" agent skill from https://github.com/NVIDIA/cosmos-framework/tree/main/.agents/skills/cosmos3-setup into .cursor/skills/cosmos3-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cosmos3-setup", 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/cosmos-framework.git --path .agents/skills/cosmos3-setup--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/cosmos-framework --skill cosmos3-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/cosmos-framework cosmos3-setup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/cosmos-framework.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/cosmos3-setup .gemini/skills/cosmos3-setup && 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 "cosmos3-setup" agent skill from https://github.com/NVIDIA/cosmos-framework/tree/main/.agents/skills/cosmos3-setup into .gemini/skills/cosmos3-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cosmos3-setup", 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/cosmos-framework cosmos3-setupInstalls 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/cosmos-framework --skill cosmos3-setup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/cosmos-framework.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/cosmos3-setup .github/skills/cosmos3-setup && 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 "cosmos3-setup" agent skill from https://github.com/NVIDIA/cosmos-framework/tree/main/.agents/skills/cosmos3-setup into .github/skills/cosmos3-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cosmos3-setup", 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/cosmos-framework --skill cosmos3-setup -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/cosmos-framework cosmos3-setup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/cosmos-framework.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/cosmos3-setup .opencode/skills/cosmos3-setup && 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 "cosmos3-setup" agent skill from https://github.com/NVIDIA/cosmos-framework/tree/main/.agents/skills/cosmos3-setup into .opencode/skills/cosmos3-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cosmos3-setup", 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.
cosmos3-setupGuide users through Cosmos3 installation, environment setup, checkpoint downloading, and verification.
Cosmos3 Setup is an agent skill from NVIDIA/cosmos-framework, published by the product's own GitHub organization. Guide users through Cosmos3 installation, environment setup, checkpoint downloading, and verification. Use when the user asks "how do I install cosmos3", "how do I set up the environment", "how do I download checkpoints", "how do I use Docker", or any question about getting the package running for the first time.
Its SKILL.md is about 1.1k 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 Containers. It works with Docker and CUDA. The repository describes itself as: Our inference and training framework to run on the Cosmos Models.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit cf5d68c. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
uvapt-getcurlshFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
astral.shFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
HF_TOKENHUGGING_FACE_HUB_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Cosmos3 Setup loads about 1.1k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 392 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
2. **System deps**: `sudo apt-get install -y --no-install-recommends curl ffmpeg git-lfs libx11-dev tree wget`3. **Install uv**: `curl -LsSf https://astral.sh/uv/install.sh | sh && source $HOME/.local/bin/env`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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 392 words (~1,082 tokens).
“All paths below are relative to the cosmos3 package root (../../../ from this skill file). All uv run / python commands should also be run from there.”
Just SKILL.md in .agents/skills/cosmos3-setup of NVIDIA/cosmos-framework.
Open the folder on GitHubat commit cf5d68c
Cosmos3 Setup 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 |
|---|---|---|---|---|---|---|
| Cosmos3 Setup this skillNVIDIA/cosmos-framework | 556 | — | ~1.1k | Automated safety check: Notes | Custom licence | |
| Install Miles Diffusionradixark/miles_diffusion | 107 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Init GPU Serverdrawthingsai/draw-things-community | 579 | — | ~2.2k | Automated safety check: Pass | GPL-3.0 | |
| Kermt SetupNVIDIA/skills | 3.5k | 1 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Tao Setup Nvidia GPU HostNVIDIA/skills | 3.5k | — | ~3.4k | Automated safety check: Notes | Apache-2.0 | |
| Holoscan Install ContainerNVIDIA/skills | 3.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 |
radixark/miles_diffusion
Fallback installer for milesdiffusion on a bare CUDA 12.9 Linux GPU box, reproducing the official radixark/milesdiffusion image's package versions and verifying them.
drawthingsai/draw-things-community
Initialize a Draw Things GPU server with GPUScript, including script sync, Docker/CUDA/NVIDIA runtime setup, 7T data disk mounting, mergerfs, and end-to-end GPU verification.
NVIDIA/skills
Bootstrap the KERMT agent environment — verify host docker + nvidia-container-toolkit, build the kermt:latest image from the repo's Dockerfile if it doesn't yet exist, and run a GPU smoke test…
NVIDIA/skills
Host setup for TAO GPU backends. An agent skill from NVIDIA/skills.
NVIDIA/skills
Install Holoscan SDK via the NGC Docker container. An agent skill from NVIDIA/skills.
NVIDIA/skills
Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install.
NVIDIA/cosmos-framework
Navigate the Cosmos3 package codebase to find where parameters, configs, defaults, scripts, and documentation live.
NVIDIA/cosmos-framework
Diagnose and fix Cosmos3 environment, installation, and runtime errors.
NVIDIA/cosmos-framework
Guide users through running Cosmos3 inference — offline batch generation, online serving with Ray and Gradio, parallelism options, input formats, sampling parameters, and prompt upsampling.
NVIDIA/cosmos-framework
Guide users through Cosmos3 supervised fine-tuning (SFT) post-training: preparing the example dataset and Wan2.2 VAE, converting the base checkpoint to DCP, launching distributed training (paired…
Categories
Guide users through Cosmos3 installation, environment setup, checkpoint downloading, and verification. Cosmos3 Setup is an agent skill from NVIDIA/cosmos-framework, published by the product's own GitHub organization. Guide users through Cosmos3 installation, environment setup, checkpoint downloading, and verification.
Cosmos3 Setup fits situations like: the user asks how do I install cosmos3; how do I set up the environment; how do I download checkpoints; how do I use Docker.
Run `npx skills add NVIDIA/cosmos-framework --skill cosmos3-setup -a claude-code`. Or copy the skill folder (.agents/skills/cosmos3-setup in NVIDIA/cosmos-framework) into .claude/skills/cosmos3-setup in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/cosmos-framework --skill cosmos3-setup -a codex`. Or copy the skill folder (.agents/skills/cosmos3-setup in NVIDIA/cosmos-framework) into .agents/skills/cosmos3-setup in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/cosmos-framework --skill cosmos3-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cosmos3-setup, .gemini/skills/cosmos3-setup, .github/skills/cosmos3-setup and .opencode/skills/cosmos3-setup in your project.
Going by SKILL.md and its folder, Cosmos3 Setup needs the command-line tools its instructions call (uv, apt-get, curl and sh) and credentials named HF_TOKEN and HUGGING_FACE_HUB_TOKEN. Our summary lists: Python 3; Docker; A credential in HUGGING_FACE_HUB_TOKEN.
SKILL.md names 1 domain. In commands or code: astral.sh; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo; pipes a well-known installer script into a shell), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Cosmos3 Setup has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Cosmos3 Setup: Install Miles Diffusion (radixark/miles_diffusion, 107 stars), Init GPU Server (drawthingsai/draw-things-community, 579 stars), Kermt Setup (NVIDIA/skills, 3.5k stars) and Tao Setup Nvidia GPU Host (NVIDIA/skills, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/cosmos-framework, which has 556 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 26, 2026.
Source: NVIDIA/cosmos-framework on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.