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 deeleeramone/PyWry --skill jupytergit clone --depth 1 https://github.com/deeleeramone/PyWryWrote 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/deeleeramone/pywry/jupyter)<a href="https://agentmods.dev/skills/deeleeramone/pywry/jupyter"><img src="https://agentmods.dev/badge/skills/deeleeramone/pywry/jupyter/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/deeleeramone/pywry/jupyter"><img src="https://agentmods.dev/badge/skills/deeleeramone/pywry/jupyter.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 | $0.00000 | $0.03419 |
| Opus 5.5 | $0.00000 | $0.01368 |
| Sonnet 5.5 | $0.00000 | $0.00684 |
| Haiku 4.5 | $0.00000 | $0.00342 |
Grade A, and why
jupyter 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 2mo 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 — 463 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jupyter Notebook Skill
This skill covers building PyWry widgets for Jupyter notebooks via MCP tools.
There are two approaches for displaying widgets in Jupyter:
| Approach | Best For | Requires |
|---|---|---|
| AnyWidget (recommended) | Native Jupyter integration, bidirectional comms | pip install 'pywry[notebook]' |
| IFrame (fallback) | When anywidget unavailable | MCP server in headless mode |
Approach 1: AnyWidget (Recommended)
AnyWidget provides native Jupyter widget integration with traitlet-based bidirectional communication. No iframe, no server - just native Jupyter widgets.
Architecture
┌─────────────────────────────────────────────────────────┐
│ Jupyter Notebook │
│ ┌───────────────────────────────────────────────────┐ │
│ │ Cell [1]: # Code from MCP agent │ │
│ │ from pywry.widget import PyWryWidget │ │
│ │ widget = PyWryWidget( │ │
│ │ content="<div>...</div>", │ │
│ │ height="400px" │ │
│ │ ) │ │
│ │ widget # Display in cell │ │
│ ├───────────────────────────────────────────────────┤ │
│ │ Output: ┌─────────────────────────────────────┐ │ │
│ │ │ [Native Jupyter Widget] │ │ │
│ │ │ Buttons, Charts, Tables, etc. │ │ │
│ │ └─────────────────────────────────────┘ │ │
│ └───────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────┘
▲
│ Traitlet sync (bidirectional)
▼
┌─────────────────────────────────────────────────────────┐
│ Python Kernel │
│ PyWryWidget instance with .on() event handlers │
└─────────────────────────────────────────────────────────┘
MCP Workflow for AnyWidget
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.
- 2mo ago First seen · 463 lines · 0 tokens per session scan A 8a57f4dc5d28
jupyter is a skill published in the GitHub repository deeleeramone/PyWry (100 stars, last pushed 22d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 3,419 tokens. 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 2026-08-30.
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