A generator for computer-vision Jupyter Notebooks covering tasks such as object detection, image segmentation, classification, and vision-language models. Jupyter Notebooks combine executable code, results, and explanations in one file.

Use it to create notebooks with setup, data, model, training, and evaluation sections, including visualisation and GPU checks for computer-vision work.

It provides a consistent experiment structure and avoids unsafe direct edits to notebook files.

cv-notebook — Skill for Claude Code by YoungjaeDev/my-claude-plugins

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 YoungjaeDev/my-claude-plugins --skill cv-notebook

Clone the repo

git clone --depth 1 https://github.com/YoungjaeDev/my-claude-plugins

Made for: Claude Code.

Or install ml, the plugin that ships this one along with the rest of its 4 skills.

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/youngjaedev/my-claude-plugins/cv-notebook/github.svg)](https://agentmods.dev/skills/youngjaedev/my-claude-plugins/cv-notebook)

Your own site

<a href="https://agentmods.dev/skills/youngjaedev/my-claude-plugins/cv-notebook"><img src="https://agentmods.dev/badge/skills/youngjaedev/my-claude-plugins/cv-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/youngjaedev/my-claude-plugins/cv-notebook"><img src="https://agentmods.dev/badge/skills/youngjaedev/my-claude-plugins/cv-notebook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 156 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,118 The whole file, excluding the scripts and references it only reads on demand.

Security scan C 1 finding. 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	$0.00156	$0.03118
Opus 5.5	$0.00062	$0.01247
Sonnet 5.5	$0.00031	$0.00624
Haiku 4.5	$0.00016	$0.00312

Measured 1mo ago against content hash 4844eb862a7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

cv-notebook scanned grade C with 1 finding 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 1mo 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf "$tmp"

plugins/ml/skills/cv-notebook/SKILL.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CV Notebook Generator

Structure-aware authoring: Claude Code authors .ipynb cells with the NotebookEdit tool. Codex has no NotebookEdit: author cells through an nbformat Python snippet instead (detect the interpreter python3 → python → py -3, check <py> -c "import nbformat", install on miss with <py> -m pip install nbformat). Never hand-edit notebook JSON as raw text on either runtime.

A skill for generating professional Computer Vision Jupyter notebooks following roboflow/notebooks patterns with Korean insights.

Design Principles

What to Apply (Roboflow Style)

Banner image at top
Colab/GitHub badges
GPU check cell first
supervision library for all visualizations
Roboflow SDK for dataset management
Clear section structure (Setup → Data → Model → Training → Evaluation)

What to Avoid

Hardcoded API keys (use environment variables or secrets)
Model-specific code outside templates
Execution of cells (user runs in their environment)
Direct .ipynb file manipulation (use the structure-aware path: NotebookEdit / nbformat)

Supported Task Types

Task	Description	Key Models
`detection`	Object detection	YOLO, RT-DETR
`segmentation`	Instance/semantic segmentation	SAM, YOLO-Seg
`classification`	Image classification	ResNet, ViT, DINOv2
`vlm`	Vision-Language Models	Florence-2, PaliGemma, Qwen2.5-VL

Parameters

Parameter	Type	Default	Description
task	enum	detection	detection/segmentation/classification/vlm
model	string	auto	Model name (YOLO, SAM, Florence, etc.)
level	enum	intermediate	beginner/intermediate/expert
environment	enum	colab	colab/kaggle/local
include_training	bool	true	Include fine-tuning section
include_roboflow	bool	true	Include Roboflow dataset integration
dataset_format	enum	yolov8	yolov8/coco/voc/pascal - Roboflow export format
language	enum	hybrid	en/ko/hybrid (Korean insights)

Read the full file on GitHub · 228 lines

Files

What ships with it

12 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.

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.

1mo ago First seen · 228 lines · 156 tokens per session scan C 4844eb862a7c

Subscribe to this mod's changes

cv-notebook is a skill published in the GitHub repository YoungjaeDev/my-claude-plugins (2 stars, last pushed yesterday), licensed MIT. It adds 156 tokens to every session and 3,118 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

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cv-notebook