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 ulises-jeremias/agent-toolkit --skill jupyter-notebookgit clone --depth 1 https://github.com/ulises-jeremias/agent-toolkitWrote 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/ulises-jeremias/agent-toolkit/jupyter-notebook)<a href="https://agentmods.dev/skills/ulises-jeremias/agent-toolkit/jupyter-notebook"><img src="https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/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/ulises-jeremias/agent-toolkit/jupyter-notebook"><img src="https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/jupyter-notebook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 11 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00061 | $0.01234 |
| Opus 5 | $0.00030 | $0.00617 |
| Sonnet 5 | $0.00012 | $0.00247 |
| Haiku 4.5 | $0.00006 | $0.00123 |
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 6d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jupyter Notebook
Create clean, reproducible Jupyter notebooks for two primary modes:
- Experiments — exploratory analysis, ablations, hypothesis testing.
- Tutorials — instructional walkthroughs, teaching-oriented notebooks.
Prefer the bundled templates and the helper script for consistent structure and fewer JSON mistakes.
When to use
- Create a new
.ipynbnotebook from scratch. - 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
- Exploratory / analytical / hypothesis-driven →
experiment. - Instructional / step-by-step / audience-specific →
tutorial. - Editing an existing notebook → treat as a refactor: preserve intent and improve structure.
Prerequisites
python3(provided bybootstrap).- Optional:
uvfor local notebook execution and dependency isolation (also frombootstrap).
skills check jupyter-notebook validates python3 is present.
Helper script
The bundled scaffolder (scripts/new_notebook.py, stdlib only) loads a
template, updates the title cell, and writes a notebook to --out. Two ways
to invoke it:
Option A — newnotebook wrapper (recommended)
bootstrap installs a tiny wrapper at ~/.local/bin/newnotebook so
the script is available without remembering its full path:
newnotebook --kind experiment \
--title "Compare prompt variants" \
--out output/jupyter-notebook/compare-prompt-variants.ipynb
newnotebook --kind tutorial \
--title "Intro to embeddings" \
--out output/jupyter-notebook/intro-to-embeddings.ipynb
Option B — call the script directly
python3 ~/.local/share/agent-toolkit/skills/jupyter-notebook/scripts/new_notebook.py \
--kind experiment \
--title "Compare prompt variants" \
--out output/jupyter-notebook/compare-prompt-variants.ipynb
If you prefer uv for a pinned interpreter:
What ships with it
4 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.
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.
- 6d ago First seen · 146 lines · 61 tokens per session scan A 1dbad970a4f1
jupyter-notebook is a skill published in the GitHub repository ulises-jeremias/agent-toolkit (16 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 1,234 once invoked, about $0.0003 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 2026-09-04.
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