Set up and verify the nanogen development environment. An agent skill from End2End-Diffusion/diffusion-bench.

No licenceAuto-check: notes

Install Setup

skills CLI
$ npx skills add End2End-Diffusion/diffusion-bench --skill setup -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install End2End-Diffusion/diffusion-bench setup --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/End2End-Diffusion/diffusion-bench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/setup .claude/skills/setup && rm -rf skills-src

Use ~/.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/

Facts

Skill name
setup
GitHub stars
105
Token cost
~392 tokens
SKILL.md length
109 words
Files
3 (incl. scripts, references)
Skills in repo
2
Repo updated
First seen
Licence
None found

At a glance

Set up and verify the nanogen development environment. An agent skill from End2End-Diffusion/diffusion-bench.

  • Works in 3 steps: Python >=3.10, <3.14 → SSH access to G-REPA GitHub org —… → uv — curl -LsSf…
  • Onboarding a new developer
  • SKILL.md covers Prerequisites, Setup Steps, Architecture and Troubleshooting, plus 1 more section
  • Runs Python scripts from its folder; calls uv, curl and sh; reaches astral.sh and download.pytorch.org

What it does

Setup is an agent skill from End2End-Diffusion/diffusion-bench. Set up and verify the nanogen development environment. Use when onboarding a new developer, after cloning the repo, when uv sync fails, when dependencies are broken, or when the user asks to install/fix/reset the environment. Triggers on "setup nanogen", "install dependencies", "uv sync failing", "fix environment", "fresh install", "verify setup".

Its SKILL.md is about 390 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/troubleshooting.md` and `scripts/verify_setup.py`).

It works with Python. The repository describes itself as: Towards Holistic evaluation of Generative Diffusion Transformers!

When your agent uses it

  • Onboarding a new developer
  • After cloning the repo
  • Dependencies are broken
  • The user asks to install/fix/reset the environment

Example prompts

  • “setup nanogen”
  • “install dependencies”
  • “uv sync failing”
  • “/setup”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Python >=3.10, <3.14
  2. SSH access to G-REPA GitHub org — private deps are fetched via SSH
  3. uv — curl -LsSf https://astral.sh/uv/install.sh | sh

What it can do on your machine

Read from SKILL.md and the folder at commit 4848f0c. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv
    • curl
    • sh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • astral.sh
    • download.pytorch.org

    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

Setup loads about 392 tokens when it runs, and up to ~749 if it reads all its reference files. Until then it costs about 89 tokens; SKILL.md has 109 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~392
With references · SKILL.md plus every file in references/, read only if the agent opens them
~749

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePipes a well-known installer script into a shellSKILL.md:12
    3. **uv** — `curl -LsSf https://astral.sh/uv/install.sh | sh`

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 109 words (~392 tokens).

“See references/troubleshooting.md for fixes to common issues:”

— opening of SKILL.md by End2End-Diffusion
name
setup

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (scripts, references) in skills/setup of End2End-Diffusion/diffusion-bench.

  • SKILL.md
  • references/troubleshooting.md
  • scripts/verify_setup.py

Open the folder on GitHubat commit 4848f0c

Compare with similar skills

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.

Setup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Setup this skillEnd2End-Diffusion/diffusion-bench105—~392Automated safety check: NotesNone
MCP Server Builderanthropics/skills180k62 repos~2.3kAutomated safety check: PassApache-2.0
PDF Processinganthropics/skills180k48 repos~2kAutomated safety check: PassProprietary
NotebookLM Research AssistantPleasePrompto/notebooklm-skill7.8k13 repos~2.4kAutomated safety check: NotesMIT
Manim Video Productionbrowser-use/video-use28k6 repos~3kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Works with

Questions about Setup

What does Setup do?

Set up and verify the nanogen development environment. An agent skill from End2End-Diffusion/diffusion-bench. Setup is an agent skill from End2End-Diffusion/diffusion-bench. Set up and verify the nanogen development environment.

When should I use Setup?

Setup fits situations like: onboarding a new developer; after cloning the repo; dependencies are broken; the user asks to install/fix/reset the environment.

How do I install Setup in Claude Code?

Run `npx skills add End2End-Diffusion/diffusion-bench --skill setup -a claude-code`. Or copy the skill folder (skills/setup in End2End-Diffusion/diffusion-bench) into .claude/skills/setup in your project. Claude Code loads it when a task matches its description.

How do I install Setup in Codex?

Run `npx skills add End2End-Diffusion/diffusion-bench --skill setup -a codex`. Or copy the skill folder (skills/setup in End2End-Diffusion/diffusion-bench) into .agents/skills/setup in your project. Codex loads it when a task matches its description.

Can I use Setup 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 End2End-Diffusion/diffusion-bench --skill 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/setup, .gemini/skills/setup, .github/skills/setup and .opencode/skills/setup in your project.

What does Setup need to run?

Going by SKILL.md and its folder, Setup needs Python for the scripts in its folder and the command-line tools its instructions call (uv, curl and sh). Our summary lists: Python 3.

Does Setup access the network?

SKILL.md names 2 domains. In commands or code: astral.sh and download.pytorch.org; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Setup safe to install?

Our automated static check of SKILL.md found notes only (pipes a well-known installer script into a shell), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Setup use?

No licence was found for Setup or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Setup use?

About 392 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 357 tokens, read only when the agent opens those files.

What are the alternatives to Setup?

Skills that share tags, products or a category with Setup: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Setup?

End2End-Diffusion (a GitHub organization) maintains it in End2End-Diffusion/diffusion-bench, which has 105 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on July 1, 2026.

Source: End2End-Diffusion/diffusion-bench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.