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 hongsw/plugin-for-claude-research --skill notebooklm-infographicgit clone --depth 1 https://github.com/hongsw/plugin-for-claude-researchWrote 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/hongsw/plugin-for-claude-research/notebooklm-infographic)<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.
<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>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 | $0.00038 | $0.02160 |
| Opus 5 | $0.00019 | $0.01080 |
| Sonnet 5 | $0.00008 | $0.00432 |
| Haiku 4.5 | $0.00004 | $0.00216 |
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.
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
/infographiccommand 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
)
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.
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.
- 11d ago First seen · 337 lines · 38 tokens per session scan A 842c839e2068
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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