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.
git clone --depth 1 https://github.com/gfsaaser24/notebooklm-coworkWrote 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/commands/gfsaaser24/notebooklm-cowork/notebook-query)<a href="https://agentmods.dev/commands/gfsaaser24/notebooklm-cowork/notebook-query"><img src="https://agentmods.dev/badge/commands/gfsaaser24/notebooklm-cowork/notebook-query/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/commands/gfsaaser24/notebooklm-cowork/notebook-query"><img src="https://agentmods.dev/badge/commands/gfsaaser24/notebooklm-cowork/notebook-query.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 | $0.00007 | $0.00153 |
| Opus 5 | $0.00003 | $0.00077 |
| Sonnet 5 | $0.00001 | $0.00031 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
notebook-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 8d 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.
What it actually says
The user wants to query their NotebookLM notebooks. Their question: $ARGUMENTS
Steps:
- Call
notebook_list()to show available notebooks. - If the user didn't specify a notebook, present the list and ask which one(s) to query.
- If the user wants to search all notebooks, use
cross_notebook_query(query="$ARGUMENTS", all=True). - Otherwise, use
notebook_query(notebook_id, query="$ARGUMENTS"). - Present the response with any citations clearly formatted.
- If the user asks a follow-up, reuse the
conversation_idfrom the previous response.
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.
- 8d ago First seen · 16 lines · 7 tokens per session scan A b6beb4376160
notebook-query is a command published in the GitHub repository gfsaaser24/notebooklm-cowork (10 stars, last pushed 2mo ago), licensed MIT. It adds 7 tokens to every session and 153 once invoked, about $0.0000 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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specify
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implement
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analyze
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