← Back to Skills Marketplace
loutai0307-prog

Jupyter Helper

by loutai0307-prog · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
79
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install jupyter-helper
Description
Manage and optimize Jupyter notebooks. Use when converting notebooks, extracting code cells, running notebooks headlessly, exporting to PDF/HTML, or debuggin...
README (SKILL.md)

Jupyter Helper

Manage and optimize Jupyter notebooks. Use when converting notebooks, extracting code cells, running notebooks headlessly, exporting to PDF/HTML, or debuggin...

Triggers on

jupyter notebook, convert notebook, ipynb to python, extract code cells, run notebook, clear outputs, notebook info

When to Use

  • Working with jupyter helper and need quick reference
  • Looking up general standards or best practices for jupyter helper
  • Troubleshooting jupyter helper issues
  • Need a checklist or guide for jupyter helper tasks

Commands

intro

scripts/script.sh intro

Overview and background

theory

scripts/script.sh theory

Core theory and principles

methods

scripts/script.sh methods

Methods and techniques

tools

scripts/script.sh tools

Tools and software

standards

scripts/script.sh standards

Standards and protocols

experiments

scripts/script.sh experiments

Practical experiments and labs

glossary

scripts/script.sh glossary

Key terminology

references

scripts/script.sh references

Further reading and references

help

scripts/script.sh help

version

scripts/script.sh version

Powered by BytesAgain | bytesagain.com

Usage Guidance
This skill appears to do what it says: convert, extract, clean, inspect, and run Jupyter notebooks using a bundled shell script. Before installing or running it, note two things: (1) the package metadata does not list its real runtime dependencies — you need python3 and the nbconvert package (install with pip install nbconvert, plus nbconvert[webpdf] for PDF support); (2) the run command executes notebooks headlessly, which will run any code inside the notebook — do not run untrusted notebooks. Recommended precautions: run the tool inside a controlled environment (virtualenv, container, or sandbox), review notebooks before executing, and install nbconvert from a trusted source. If you need the skill to declare its dependencies, ask the publisher to add python3/nbconvert to the registry metadata.
Capability Analysis
Type: OpenClaw Skill Name: jupyter-helper Version: 1.0.0 The skill bundle provides legitimate Jupyter notebook management utilities, including conversion, code extraction, headless execution, and metadata inspection. While the SKILL.md file contains a mismatched 'Commands' section that lists theoretical topics (e.g., 'theory', 'methods') instead of the actual script functions (e.g., 'convert', 'run'), this appears to be a documentation template error rather than a malicious attempt to deceive. The bash script (scripts/script.sh) and its embedded Python logic are functional, use standard libraries (nbconvert, json), and contain no evidence of data exfiltration, persistence, or harmful instructions.
Capability Assessment
ℹ Purpose & Capability
The skill's name/description match the provided scripts: converting, extracting, cleaning, inspecting, and executing notebooks. However, the metadata declares no required binaries while the script clearly requires python3 and the nbconvert module — a documentation/metadata omission (these dependencies are appropriate for the stated purpose, but they are not declared).
✓ Instruction Scope
SKILL.md tells the agent to run scripts/script.sh with specific commands and arguments. The script operates only on local notebook files passed as arguments and does not access unrelated system files, environment variables, or external endpoints. It does perform execution of notebooks (cmd_run), which intentionally runs arbitrary code contained in the notebook — expected for this tool but a security-sensitive operation.
✓ Install Mechanism
No install spec (instruction-only with an included script) — nothing is downloaded or installed automatically by the skill. The risk is low because no external installers or network downloads are performed by the skill package itself.
✓ Credentials
The skill declares no environment variables or credentials and the code does not read any secrets or external credentials. It only reads/writes files specified on the command line (not hidden config or auth files).
✓ Persistence & Privilege
always is false and the skill does not request persistent or elevated placement. It does not modify other skills or system-wide configuration; normal autonomous invocation is permitted (default).
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install jupyter-helper
  3. After installation, invoke the skill by name or use /jupyter-helper
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug jupyter-helper
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Jupyter Helper?

Manage and optimize Jupyter notebooks. Use when converting notebooks, extracting code cells, running notebooks headlessly, exporting to PDF/HTML, or debuggin... It is an AI Agent Skill for Claude Code / OpenClaw, with 79 downloads so far.

How do I install Jupyter Helper?

Run "/install jupyter-helper" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Jupyter Helper free?

Yes, Jupyter Helper is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Jupyter Helper support?

Jupyter Helper is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Jupyter Helper?

It is built and maintained by loutai0307-prog (@loutai0307-prog); the current version is v1.0.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463815 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259802 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200680 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191345 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190333 · by oswalpalash

💬 Comments