Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/oxi-717/ai-native-toolkit/notebooklm)<a href="https://agentmods.dev/skills/oxi-717/ai-native-toolkit/notebooklm"><img src="https://agentmods.dev/badge/skills/oxi-717/ai-native-toolkit/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 | $0.00049 | $0.02491 |
| Opus 5 | $0.00024 | $0.01246 |
| Sonnet 5 | $0.00010 | $0.00498 |
| Haiku 4.5 | $0.00005 | $0.00249 |
Grade A, and why
notebooklm scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NotebookLM Research Assistant Skill
Interact with Google NotebookLM to query documentation with Gemini's source-grounded answers. Each question opens a fresh browser session, retrieves the answer exclusively from your uploaded documents, and closes.
Runtime Paths
Use portable paths so the skill works from both Claude Code and Codex installs:
PLUGIN_ROOT="${CLAUDE_PLUGIN_ROOT:-<installed-plugin-root>}"
SKILL_ROOT="$PLUGIN_ROOT/skills/notebooklm"
RUNNER=(python3 "$SKILL_ROOT/scripts/run.py")
All command examples below use the shorthand python scripts/run.py ....
In portable/dual-runtime mode, execute the same commands through "${RUNNER[@]}" ....
Runtime state is stored outside the plugin cache by default:
- data:
~/.local/share/notebooklm/data/ - venv:
~/.local/share/notebooklm/.venv/
Overrides:
NOTEBOOKLM_HOMENOTEBOOKLM_DATA_DIRNOTEBOOKLM_VENV_DIR
When to Use This Skill
Trigger when user:
- Mentions NotebookLM explicitly
- Shares NotebookLM URL (
https://notebooklm.google.com/notebook/...) - Asks to query their notebooks/documentation
- Wants to add documentation to NotebookLM library
- Uses phrases like "ask my NotebookLM", "check my docs", "query my notebook"
⚠️ CRITICAL: Add Command - Smart Discovery
When user wants to add a notebook without providing details:
SMART ADD (Recommended): Query the notebook first to discover its content:
# Step 1: Query the notebook about its content
python scripts/run.py ask_question.py --question "What is the content of this notebook? What topics are covered? Provide a complete overview briefly and concisely" --notebook-url "[URL]"
# Step 2: Use the discovered information to add it
python scripts/run.py notebook_manager.py add --url "[URL]" --name "[Based on content]" --description "[Based on content]" --topics "[Based on content]"
MANUAL ADD: If user provides all details:
--url- The NotebookLM URL--name- A descriptive name--description- What the notebook contains (REQUIRED!)--topics- Comma-separated topics (REQUIRED!)
What ships with it
15 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.
- agents/openai.yaml 446 B
- references/api_reference.md 8.0 KB
- references/troubleshooting.md 8.7 KB
- references/usage_patterns.md 9.3 KB
- requirements.txt 357 B
- scripts/__init__.py 2.7 KB runs code
- scripts/ask_question.py 8.2 KB runs code
- scripts/auth_manager.py 11 KB runs code
- scripts/browser_session.py 8.5 KB runs code
- scripts/browser_utils.py 4.3 KB runs code
- scripts/cleanup_manager.py 9.5 KB runs code
- scripts/config.py 3.4 KB runs code
- scripts/notebook_manager.py 13 KB runs code
- scripts/run.py 2.7 KB runs code
- scripts/setup_environment.py 7.0 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.
- 7d ago First seen · 303 lines · 49 tokens per session scan A e7613d247ee4
notebooklm is a skill published in the GitHub repository OXI-717/ai-native-toolkit (8 stars, last pushed 15d ago), licensed MIT. It adds 49 tokens to every session and 2,491 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 2026-08-31.
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