Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Kilo-Org/kilo-marketplace --skill jupyter-notebookgit clone --depth 1 https://github.com/Kilo-Org/kilo-marketplaceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kilo-org/kilo-marketplace/jupyter-notebook)<a href="https://agentmods.dev/skills/kilo-org/kilo-marketplace/jupyter-notebook"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/jupyter-notebook/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kilo-org/kilo-marketplace/jupyter-notebook"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/jupyter-notebook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00044 | $0.01067 |
| Opus 5 | $0.00022 | $0.00534 |
| Sonnet 5 | $0.00009 | $0.00213 |
| Haiku 4.5 | $0.00004 | $0.00107 |
Grade A, and why
jupyter-notebook scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jupyter Notebook Skill
Create clean, reproducible Jupyter notebooks for two primary modes:
- Experiments and exploratory analysis
- Tutorials and teaching-oriented walkthroughs
Prefer the bundled templates and the helper script for consistent structure and fewer JSON mistakes.
When to use
- Create a new
.ipynbnotebook from scratch. - Inspect notebook cells, outputs, metadata, dependencies, or execution state.
- Add, remove, reorder, or edit code and Markdown cells.
- Execute notebooks, refresh saved outputs, or troubleshoot kernel failures.
- Create or improve notebook tables, charts, and other visualizations.
- Convert rough notes or scripts into a structured notebook.
- Refactor an existing notebook to be more reproducible and skimmable.
- Build experiments or tutorials that will be read or re-run by other people.
Decision tree
- If the request is exploratory, analytical, or hypothesis-driven, choose
experiment. - If the request is instructional, step-by-step, or audience-specific, choose
tutorial. - If editing an existing notebook, treat it as a refactor: preserve intent and improve structure.
Choose the notebook tooling
Before inspecting, editing, or executing a notebook, check whether suitable Jupyter MCP tools are available.
- Prefer a connected Jupyter MCP server for notebook operations.
- If Jupyter MCP is unavailable or an MCP operation fails, explicitly tell the user that you are switching to manual notebook editing.
- Follow
references/manual-editing.mdbefore editing raw notebook JSON. - Do not use MCP and manual JSON editing simultaneously for the same change.
Workflow
-
Lock the intent. Identify the notebook kind:
experimentortutorial. Capture the objective, audience, and what "done" looks like. -
Scaffold from the template. Use the helper script to avoid hand-authoring raw notebook JSON. Resolve
scripts/new_notebook.pyagainst the base directory supplied when this skill is loaded; do not assume the skill is installed under the project's.kilodirectory.
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/experiment-template.ipynb 1.9 KB
- assets/tutorial-template.ipynb 2.4 KB
- LICENSE 1.0 KB
- references/experiment-patterns.md 699 B
- references/manual-editing.md 8.1 KB
- references/notebook-structure.md 682 B
- references/quality-checklist.md 572 B
- references/tutorial-patterns.md 685 B
- scripts/new_notebook.py 1.3 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 125 lines · 44 tokens per session scan A a2b032e5c469
jupyter-notebook is a skill published in the GitHub repository Kilo-Org/kilo-marketplace (175 stars, last pushed 22d ago), licensed Apache-2.0. It adds 44 tokens to every session and 1,067 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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