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 agentmods add skills/ariegoldkin/claude-forge/notebooklmnpx skills add ArieGoldkin/claude-forge --skill notebooklmgit clone --depth 1 https://github.com/ArieGoldkin/claude-forgeWrote 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/ariegoldkin/claude-forge/notebooklm)<a href="https://agentmods.dev/skills/ariegoldkin/claude-forge/notebooklm"><img src="https://agentmods.dev/badge/skills/ariegoldkin/claude-forge/notebooklm.svg" alt="Measured on agentmods" 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 | $0.00052 | $0.01251 |
| Opus 5 | $0.00026 | $0.00626 |
| Sonnet 5 | $0.00010 | $0.00250 |
| Haiku 4.5 | $0.00005 | $0.00125 |
Grade A, and why
notebooklm 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 6d 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NotebookLM
Programmatic access to Google NotebookLM via the notebooklm-py CLI. Supports notebook management, source ingestion, AI chat, and content generation (audio, video, slides, reports, quizzes, flashcards, infographics, mind maps).
Prerequisites
Verify installation before any operation:
notebooklm --version # Check CLI installed
notebooklm auth check --test # Verify authentication
If not installed: see ${CLAUDE_SKILL_DIR}/references/setup-guide.md.
Core Workflows
1. Create Notebook + Add Sources
notebooklm create "Project Research"
notebooklm use <notebook_id>
notebooklm source add "https://example.com/article"
notebooklm source add "./document.pdf"
notebooklm source add "https://youtube.com/watch?v=..."
notebooklm source wait # Block until all sources processed
Source types: URLs, PDFs, YouTube, text, Markdown, Word, audio, video, images, Google Drive.
2. Chat with Notebook
notebooklm ask "Summarize the key findings"
notebooklm ask "Compare the approaches in sources 1 and 2" --json
notebooklm history # View conversation history
3. Generate Content
All generation commands support --wait (block until complete) and --language override.
# Audio podcast (5-20 min generation)
notebooklm generate audio "Make it conversational" --wait
# Video overview (15-45 min generation)
notebooklm generate video --style whiteboard --wait
# Slide deck
notebooklm generate slide-deck --wait
# Report
notebooklm generate report --template briefing-doc --wait
# Quiz / Flashcards
notebooklm generate quiz --difficulty hard --wait
notebooklm generate flashcards --quantity more --wait
# Infographic / Mind map / Data table
notebooklm generate infographic --orientation landscape --wait
notebooklm generate mind-map --wait
notebooklm generate data-table "Compare features" --wait
4. Download Artifacts
notebooklm download audio ./podcast.mp3
notebooklm download video ./overview.mp4
notebooklm download slide-deck ./slides.pptx # Editable PPTX
notebooklm download quiz --format markdown ./quiz.md
notebooklm download flashcards --format json ./cards.json
notebooklm download infographic ./infographic.png
notebooklm download mind-map ./mindmap.json
notebooklm download data-table ./data.csv
What ships with it
2 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.
- 6d ago First seen · 148 lines · 52 tokens per session scan A 1204e5aea592
notebooklm is a skill published in the GitHub repository ArieGoldkin/claude-forge (6 stars, last pushed 29d ago), licensed MIT. It adds 52 tokens to every session and 1,251 once invoked, about $0.0003 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 2026-08-31.
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