What is notebook.create_api_intro?

A teaching notebook generator that creates a self-contained Jupyter notebook introducing a Python package's main objects and programming interface. Jupyter notebooks combine explanatory text with runnable code cells.

Use it to demonstrate a package's basic objects, methods, state, and composition through short examples.

It provides a small, step-by-step way to learn how a package works instead of starting with a large real-world example.

notebook.create_api_intro — Skill for Claude Code by gpsaggese/helpers

Install

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.

Any agent

npx skills add gpsaggese/helpers --skill notebook.create_api_intro

Clone the repo

git clone --depth 1 https://github.com/gpsaggese/helpers

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/gpsaggese/helpers/notebook.create_api_intro/github.svg)](https://agentmods.dev/skills/gpsaggese/helpers/notebook.create_api_intro)

Your own site

<a href="https://agentmods.dev/skills/gpsaggese/helpers/notebook.create_api_intro"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/notebook.create_api_intro/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/gpsaggese/helpers/notebook.create_api_intro"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/notebook.create_api_intro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,698 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00010	$0.01698
Opus 5.5	$0.00004	$0.00679
Sonnet 5.5	$0.00002	$0.00340
Haiku 4.5	$0.00001	$0.00170

Measured yesterday against content hash 5d45f762e287, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

notebook.create_api_intro 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 yesterday.

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.

.claude/skills/notebook.create_api_intro/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Goal

Create a self-contained Jupyter notebook that teaches the Python package <PACKAGE_NAME>: its core primitives, mental model, and API surface
Optimize the notebook for learning the library, not for a large real-world problem

Teaching Philosophy

Follow this teaching philosophy:
1. Start from the smallest possible working example
2. Introduce one new concept at a time
3. Use the minimum code needed to demonstrate each concept
4. Prefer toy examples with 2-5 objects over realistic datasets
5. Every code cell should answer exactly one question
6. Avoid helper functions, abstractions, and boilerplate unless they are part of the library's API
7. Focus on understanding:
  - What are the primitive objects?
  - How are they created?
  - How do they interact?
  - What methods are available?
  - What state do they hold?
  - How do they compose into larger structures?

Notebook Structure

Name of the Notebook

The notebook name <FILE> is given by the user or generated as:

tutorials/<PACKAGE_NAME>/<PACKAGE_NAME>.<ID>.API.<DESCRIPTION>.ipynb

E.g., for pgmpy and probabilistic inference: tutorials/pgmpy/pgmpy.01.API.probabilistic_inference.ipynb

Use Standard Template Structure

Use .claude/templates/notebook.template.py for notebook initialization
- Follow the cell layout in .claude/skills/notebook.rules.md under ## Use Standard Template Structure: title cell with scope and pedagogical arc, optional pip cell, autoreload and third-party imports cell, and a last setup cell that calls utils.init_loggers(_LOG)
- Do not add an ## Imports header

Follow General Notebook Conventions

Follow the conventions in .claude/skills/notebook.rules.md:
- # Design Principles and Setup: Template structure and Python code rules
- # Cell Design and Content: Python style, showing results, and pandas tables
- # Text and Markdown Formatting: Bullet points, em dash replacement, and LaTeX
- # Visualization and Interactivity: Data manipulation and plotting
- ## Visualization Cell Triplet Details: Cells with visualizations or widgets

Read the full file on GitHub · 214 lines

Changes

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.

yesterday First seen · 214 lines · 10 tokens per session scan A 5d45f762e287

Subscribe to this mod's changes

notebook.create_api_intro is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 10 tokens to every session and 1,698 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-11-06.

Languages Learning and teaching Python

notebook.create_api_intro next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
notebook.create_api_introgpsaggese/helpers	Skill	158	today	Apache-2.0	A	10	Claude Code
future-self-liteTHU-MAIC/OpenMAIC	Skill	43k	yesterday	MIT	A	20	Claude Code, Codex
courseCoderWanFeng/python-office	Skill	1.4k	9d ago	Apache-2.0	A	38	Claude Code, Codex
triton-cuda-apimindspore-ai/akg	Skill	266	2d ago	Apache-2.0	A	69	Claude Code, Codex
triton-cuda-basicsmindspore-ai/akg	Skill	266	2d ago	Apache-2.0	A	64	Claude Code, Codex
triton-ascend-elementwisemindspore-ai/akg	Skill	266	2d ago	Apache-2.0	A	205	Claude Code, Codex
python-fast-skilljiushiwon/wg-skills	Skill	136	today	Apache-2.0	A	155	Claude Code, Codex