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 jmagar/claude-homelab --skill notebooklmgit clone --depth 1 https://github.com/jmagar/claude-homelabWrote 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/jmagar/claude-homelab/notebooklm)<a href="https://agentmods.dev/skills/jmagar/claude-homelab/notebooklm"><img src="https://agentmods.dev/badge/skills/jmagar/claude-homelab/notebooklm/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/jmagar/claude-homelab/notebooklm"><img src="https://agentmods.dev/badge/skills/jmagar/claude-homelab/notebooklm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 80 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00067 | $0.02181 |
| Opus 5 | $0.00034 | $0.01091 |
| Sonnet 5 | $0.00013 | $0.00436 |
| Haiku 4.5 | $0.00007 | $0.00218 |
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 12d 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NotebookLM Automation Skill
YOU MUST invoke this skill (NOT optional) when the user mentions ANY of these triggers:
- "notebooklm", "notebook lm", "use notebooklm"
- "create a podcast about", "generate a podcast"
- "summarize these URLs/documents"
- "generate a quiz", "create flashcards"
- "turn this into an audio overview"
- "create a mind map", "generate an infographic"
- "make a video explainer", "generate a report"
- Any mention of NotebookLM or its artifact types
Failure to invoke this skill when triggers occur violates your operational requirements.
Complete programmatic access to Google NotebookLM -- including capabilities not exposed in the web UI. Create notebooks, add sources (URLs, YouTube, PDFs, audio, video, images), chat with content, generate all artifact types, and download results in multiple formats.
Prerequisites
IMPORTANT: Before using any command, you MUST authenticate:
notebooklm login # Opens browser for Google OAuth
notebooklm list # Verify authentication works
If commands fail with authentication errors, re-run notebooklm login.
Quick Reference
| Task | Command |
|---|---|
| Authenticate | notebooklm login |
| Diagnose auth | notebooklm auth check --test |
| List notebooks | notebooklm list |
| Create notebook | notebooklm create "Title" |
| Set context | notebooklm use <notebook_id> |
| Show context | notebooklm status |
| Add URL source | notebooklm source add "https://..." |
| Add file | notebooklm source add ./file.pdf |
| Add YouTube | notebooklm source add "https://youtube.com/..." |
| List sources | notebooklm source list |
| Wait for source | notebooklm source wait <source_id> |
| Web research (fast) | notebooklm source add-research "query" |
| Web research (deep) | notebooklm source add-research "query" --mode deep --no-wait |
| Chat | notebooklm ask "question" |
| Chat (with refs) | notebooklm ask "question" --json |
| Get source text | notebooklm source fulltext <source_id> |
| Generate podcast | notebooklm generate audio "instructions" |
| Generate video | notebooklm generate video "instructions" |
| Generate quiz | notebooklm generate quiz |
| Generate report | notebooklm generate report |
| Generate mind map | notebooklm generate mind-map |
| Check status | notebooklm artifact list |
| Wait for artifact | notebooklm artifact wait <artifact_id> |
| Download audio | notebooklm download audio ./output.mp3 |
| Download video | notebooklm download video ./output.mp4 |
| Download report | notebooklm download report ./report.md |
| Download mind map | notebooklm download mind-map ./map.json |
| Download data table | notebooklm download data-table ./data.csv |
| Download quiz | notebooklm download quiz quiz.json |
| Download flashcards | notebooklm download flashcards cards.json |
| Delete notebook | notebooklm notebook delete <id> |
| Set language | notebooklm language set zh_Hans |
What ships with it
19 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.
- examples/bulk-import.py 3.2 KB runs code
- examples/chat.py 6.9 KB runs code
- examples/notes.py 9.4 KB runs code
- examples/quickstart.py 2.2 KB runs code
- examples/research-to-podcast.py 2.9 KB runs code
- examples/video.py 5.6 KB runs code
- load-env.sh 1.6 KB runs code
- notebooklm.md 20 KB
- README.md 4.8 KB
- references/cli-reference.md 28 KB
- references/configuration.md 9.0 KB
- references/python-api.md 37 KB
- references/README.md 8.8 KB
- references/stability.md 9.5 KB
- references/troubleshooting.md 10 KB
- scripts/nlm-bulk-add.sh 2.7 KB runs code
- scripts/nlm-download.sh 5.0 KB runs code
- scripts/nlm-generate.sh 5.4 KB runs code
- scripts/nlm-research.sh 3.9 KB runs code
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.
- 12d ago First seen · 191 lines · 67 tokens per session scan A 3e677f9f3047
notebooklm is a skill published in the GitHub repository jmagar/claude-homelab (78 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 2,181 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 2026-08-30.
Other skills, from other repositories
playwright
Use when the task requires capturing or automating a real browser from the terminal.
eli5
Explain concepts in very simple terms suitable for a five-year-old.
stride-analysis-patterns
Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.
prompts-chat
Use when searching, installing, or improving AI skills and prompts via prompts.chat or skills.sh. Triggers on skill search, prompt lookup, install skill, improve prompt, prompts.chat.
transformer-attention
Use when reasoning about Transformer self-attention, multi-head attention, positional encoding, masked decoder attention, or why attention replaced recurrence/convolutions in sequence models; not for generic NLP or unrelated attention topics.
documentation-writer
Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework. Templates for tutorial / how-to / reference / explanation live under templates/.