Agent skill

Jupyter

by OpenHands in OpenHands/extensions

Read, modify, execute, and convert Jupyter notebooks programmatically.

MITAuto-check passedData & Analytics

Install Jupyter

skills CLI
$ npx skills add OpenHands/extensions --skill jupyter -a claude-code

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

GitHub CLI
$ gh skill install OpenHands/extensions jupyter --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/OpenHands/extensions.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/jupyter .claude/skills/jupyter && 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
jupyter
GitHub stars
157
Token cost
~385 tokens
SKILL.md length
35 words
Files
5
Skills in repo
78
Repo updated
First seen
Licence
MIT

At a glance

Read, modify, execute, and convert Jupyter notebooks programmatically.

  • Working with .ipynb files for data science workflows
  • SKILL.md covers Modifying Notebooks, Executing & Converting, Finding Code and Cell Structure, plus 1 more section
  • Calls jupyter
  • Including editing cells

What it does

Jupyter is an agent skill from OpenHands/extensions. Read, modify, execute, and convert Jupyter notebooks programmatically. Use when working with .ipynb files for data science workflows, including editing cells, clearing outputs, or converting to other formats.

Its SKILL.md is about 390 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `.plugin/plugin.json` and `README.md`).

It sits in Data & Analytics, covering Jupyter notebooks. It works with Jupyter. The repository describes itself as: Public registry for OpenHands extensions. The licence is MIT.

When your agent uses it

  • Working with .ipynb files for data science workflows
  • Including editing cells
  • Clearing outputs
  • Converting to other formats

Example prompts

  • “/jupyter”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit d008b81. 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:

    • jupyter

    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

Jupyter loads about 385 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 35 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~385

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 OpenHands/extensions at commit d008b81, republished under its MIT licence (© OpenHands). 35 words, ~385 tokens.

Download SKILL.mdSave it as .claude/skills/jupyter/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
jupyter
description
Read, modify, execute, and convert Jupyter notebooks programmatically. Use when working with .ipynb files for data science workflows, including editing cells, clearing outputs, or converting to other formats.
triggers
ipynb, jupyter

Jupyter Notebook Guide

Notebooks are JSON files. Cells are in nb['cells'], each has source (list of strings) and cell_type ('code', 'markdown', or 'raw').

Modifying Notebooks

python
import json
with open('notebook.ipynb') as f:
    nb = json.load(f)
# Modify nb['cells'][i]['source'], then:
with open('notebook.ipynb', 'w') as f:
    json.dump(nb, f, indent=1)

Executing & Converting

bash
jupyter nbconvert --to notebook --execute --inplace notebook.ipynb  # Execute in place
jupyter nbconvert --to html notebook.ipynb      # Convert to HTML
jupyter nbconvert --to script notebook.ipynb    # Convert to Python
jupyter nbconvert --to markdown notebook.ipynb  # Convert to Markdown

Finding Code

bash
grep -n "search_term" notebook.ipynb

PowerShell equivalent:

powershell
Select-String -Path notebook.ipynb -Pattern "search_term"

Cell Structure

python
# Code cell
{"cell_type": "code", "execution_count": None, "metadata": {}, "outputs": [], "source": ["code\n"]}
# Markdown cell
{"cell_type": "markdown", "metadata": {}, "source": ["# Title\n"]}

Clear Outputs

python
for cell in nb['cells']:
    if cell['cell_type'] == 'code':
        cell['outputs'] = []
        cell['execution_count'] = None

© OpenHands, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files in skills/jupyter of OpenHands/extensions.

  • SKILL.md
  • .claude-plugin
  • .codex-plugin
  • .plugin/plugin.json
  • README.md

Open the folder on GitHubat commit d008b81

Compare with similar skills

Jupyter 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.

Jupyter compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jupyter this skillOpenHands/extensions157—~385Automated safety check: PassMIT
Jupyter Notebookmicrosoft/ai-agents-for-beginners77k8 repos~1kAutomated safety check: PassApache-2.0
Jupyter To Marimoericmjl/llamabot1822 repos~475Automated safety check: PassNone
Nbreviewawdeorio/dotfiles102—~2.2kAutomated safety check: PassNone
Save Research Notebooknapjon/krisk118—~702Automated safety check: PassBSD-3-Clause
Jupyter Notebookmicrosoft/ai-agents-for-beginners77k—~1.2kAutomated safety check: PassMIT

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Works with

Questions about Jupyter

What does Jupyter do?

Read, modify, execute, and convert Jupyter notebooks programmatically. Jupyter is an agent skill from OpenHands/extensions. Read, modify, execute, and convert Jupyter notebooks programmatically.

When should I use Jupyter?

Jupyter fits situations like: working with .ipynb files for data science workflows; including editing cells; clearing outputs; converting to other formats.

How do I install Jupyter in Claude Code?

Run `npx skills add OpenHands/extensions --skill jupyter -a claude-code`. Or copy the skill folder (skills/jupyter in OpenHands/extensions) into .claude/skills/jupyter in your project. Claude Code loads it when a task matches its description.

How do I install Jupyter in Codex?

Run `npx skills add OpenHands/extensions --skill jupyter -a codex`. Or copy the skill folder (skills/jupyter in OpenHands/extensions) into .agents/skills/jupyter in your project. Codex loads it when a task matches its description.

Can I use Jupyter 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 OpenHands/extensions --skill jupyter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jupyter, .gemini/skills/jupyter, .github/skills/jupyter and .opencode/skills/jupyter in your project.

What does Jupyter need to run?

Going by SKILL.md and its folder, Jupyter needs the command-line tools its instructions call (jupyter). Our summary lists: Python 3.

Does Jupyter 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 Jupyter 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 Jupyter use?

Jupyter is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jupyter use?

About 385 tokens (SKILL.md is roughly 1.5k 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 Jupyter?

Skills that share tags, products or a category with Jupyter: Jupyter Notebook (microsoft/ai-agents-for-beginners, 77k stars), Jupyter To Marimo (ericmjl/llamabot, 182 stars), Nbreview (awdeorio/dotfiles, 102 stars) and Save Research Notebook (napjon/krisk, 118 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jupyter?

OpenHands (a GitHub organization) maintains it in OpenHands/extensions, which has 157 GitHub stars. The repository holds 78 skills in this directory. The repository was last updated on October 6, 2026.

Source: OpenHands/extensions on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.