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/platdrag/notebooklm-claude-skill/querynpx skills add platdrag/notebookLM-claude-skill --skill querygit clone --depth 1 https://github.com/platdrag/notebookLM-claude-skillWrote 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/platdrag/notebooklm-claude-skill/query)<a href="https://agentmods.dev/skills/platdrag/notebooklm-claude-skill/query"><img src="https://agentmods.dev/badge/skills/platdrag/notebooklm-claude-skill/query.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 | $0.00026 | $0.01307 |
| Opus 5 | $0.00013 | $0.00654 |
| Sonnet 5 | $0.00005 | $0.00261 |
| Haiku 4.5 | $0.00003 | $0.00131 |
Grade A, and why
query 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NotebookLM Query
You are using NotebookLM as a knowledge base. Your job is to query the user's NotebookLM notebook for domain-specific knowledge and return grounded, cited answers.
Prerequisites
The notebooklm-py CLI must be installed and authenticated. If any step below fails with a missing command or auth error, tell the user to run /notebooklm:setup first.
Execution Steps
Step 1: Parse the Request
The user's input is: $ARGUMENTS
Extract:
- query: The domain question to ask (everything before
--notebookflag, or the entire input if no flag) - notebook_name: Optional. Value after
--notebookflag. Defaults tonull.
If $ARGUMENTS is empty or missing, ask the user what they want to know.
Step 2: Verify Authentication
Run this command to check auth status before doing anything else:
notebooklm auth check --json
-
If exit code is 0 and output shows valid auth, proceed to Step 3.
-
If the
notebooklmcommand is not found, tell the user to run/notebooklm:setup. -
If auth check fails, tell the user:
NotebookLM authentication has expired. Run
notebooklm loginin your terminal to re-authenticate (requires a browser).Then stop — do not proceed until auth is resolved.
Step 3: Determine Target Notebook
If --notebook <name> was provided:
Read {project-root}/.claude/notebooklm-config.json and look up the notebook name in the notebooks map to get its ID. If found and the ID is valid (not "PASTE_NOTEBOOK_ID_HERE" or null), use that ID and skip to Step 4.
If not found in config, fall through to the interactive selection below.
Otherwise (no --notebook flag, or name not in config):
Read {project-root}/.claude/notebooklm-config.json to check if a defaultNotebook is configured. If a valid default exists, use that notebook's ID and skip to Step 4.
If no default is configured, list available notebooks and let the user choose:
notebooklm list --json
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 · 145 lines · 26 tokens per session scan A 8360a1db58e8
query is a skill published in the GitHub repository platdrag/notebookLM-claude-skill (5 stars, last pushed 6mo ago), licensed MIT. It adds 26 tokens to every session and 1,307 once invoked, about $0.0001 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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