notebooklm-infographic

notebooklm-infographic is a skill for Claude Code from hongsw/plugin-for-claude-research. It costs 38 tokens per session (2,160 once invoked), scanned A, original, MIT.

An automation skill for researching a topic and using NotebookLM to create a professional infographic from the findings.

In plain words
What is it for?
Use it to collect current information, arrange statistics and insights, and generate a downloadable infographic in Korean or English.
Why use it?
It combines information gathering, content organization, and visual creation into one defined workflow.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the notebooklm-infographic plugin — 1 skill, 1 command shipped together

Good fit Use it to collect current information, arrange statistics and insights, and generate a downloadable infographic in Korean or English.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hongsw/plugin-for-claude-research/notebooklm-infographic
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 hongsw/plugin-for-claude-research --skill notebooklm-infographic
Clone the repo
git clone --depth 1 https://github.com/hongsw/plugin-for-claude-research

Made for: Claude Code.

Or install notebooklm-infographic, the plugin that ships this one along with the rest of its 1 skill, 1 command.

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.

agentmods badge for notebooklm-infographic

README.md
[![agentmods](https://agentmods.dev/badge/skills/hongsw/plugin-for-claude-research/notebooklm-infographic/github.svg)](https://agentmods.dev/skills/hongsw/plugin-for-claude-research/notebooklm-infographic)
Your own site
<a href="https://agentmods.dev/skills/hongsw/plugin-for-claude-research/notebooklm-infographic"><img src="https://agentmods.dev/badge/skills/hongsw/plugin-for-claude-research/notebooklm-infographic/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.

agentmods 80×15 button for notebooklm-infographic

Your own site · 80×15
<a href="https://agentmods.dev/skills/hongsw/plugin-for-claude-research/notebooklm-infographic"><img src="https://agentmods.dev/badge/skills/hongsw/plugin-for-claude-research/notebooklm-infographic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,160 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.02160
Opus 5 $0.00019 $0.01080
Sonnet 5 $0.00008 $0.00432
Haiku 4.5 $0.00004 $0.00216

Measured 11d ago against content hash 842c839e2068, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

notebooklm-infographic 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 11d 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.

plugins/notebooklm-infographic/skills/notebooklm-infographic/SKILL.md · 337 lines

How it starts

The opening of the file, as written. The whole thing — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NotebookLM 인포그래픽 자동 생성

Overview

NotebookLM MCP를 활용하여 주제에 대한 전문적인 인포그래픽을 완전 자동으로 생성합니다.

Core capabilities:

  • 🔍 Automated web research and data collection
  • 📊 Data structuring and content organization
  • 🎨 Automated NotebookLM infographic generation
  • 💾 Downloadable image output
  • 🌐 Korean/English support

Total workflow time: ~5-8 minutes

When to Use

Use this skill when:

  • User requests infographic creation for any topic
  • Need to visualize research findings professionally
  • Want to combine web research with automated design
  • User invokes /infographic command or asks for visual content generation

Prerequisites

Before using this skill, ensure:

  • ✅ NotebookLM MCP installed (claude mcp add notebooklm npx notebooklm-mcp@latest)
  • ✅ Google account logged in to NotebookLM
  • ✅ Chrome browser available
  • ✅ Internet connection active
  • ✅ WebSearch MCP available
  • ✅ Browser automation tools loaded (mcp__claude-in-chrome__)

Workflow Pipeline

Phase 1: Research & Data Collection (2-3 min)

Objective: Gather latest information on the topic

# Execute web searches
WebSearch(query="{TOPIC} 최신 트렌드 2026")
WebSearch(query="{TOPIC} 통계 데이터")
WebSearch(query="{TOPIC} 전망")

Extract from results:

  • Key statistics (numbers, percentages)
  • Trends (growth/decline indicators)
  • Sector classifications
  • Expert insights

Phase 2: Content Structuring (1-2 min)

Structure data using this template:

# {TOPIC}

## 핵심 전망
- **목표/지표**: [숫자]
- **성과**: [통계]
- **추가 여력**: [분석]

## 전략 원칙
1. **원칙1**: 설명
2. **원칙2**: 설명
3. **원칙3**: 설명

## 핵심 섹터/카테고리

### 1순위: [섹터명]
- 성장률: [데이터]
- 포인트: [핵심 내용]

### 2순위: [섹터명]
- 성장률: [데이터]
- 포인트: [핵심 내용]

### 3순위: [섹터명]
- 성장률: [데이터]
- 포인트: [핵심 내용]

## 실행 가이드
- Step 1: [내용]
- Step 2: [내용]
- Step 3: [내용]

## 핵심 용어
- **용어1**: 정의
- **용어2**: 정의

출처: 공개 자료 종합 정리 (날짜)

Save structured content:

Write(
    file_path="/tmp/claude-{session}/infographic_{topic}.md",
    content=structured_content
)

Read the full file on GitHub · 337 lines

Files

What ships with it

3 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.

  1. 11d ago First seen · 337 lines · 38 tokens per session scan A 842c839e2068

Subscribe to this mod's changes

notebooklm-infographic is a skill published in the GitHub repository hongsw/plugin-for-claude-research (20 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 2,160 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 2026-08-30.

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