Borrowing it
Nothing to install: this file belongs to ray-manaloto/notebooklm-claude-integration. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ray-manaloto/notebooklm-claude-integration/main/.codex/skills/notebooklm-patterns/SKILL.mdgit clone --depth 1 https://github.com/ray-manaloto/notebooklm-claude-integrationWrote 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/ray-manaloto/notebooklm-claude-integration/notebooklm-patterns)<a href="https://agentmods.dev/skills/ray-manaloto/notebooklm-claude-integration/notebooklm-patterns"><img src="https://agentmods.dev/badge/skills/ray-manaloto/notebooklm-claude-integration/notebooklm-patterns/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/ray-manaloto/notebooklm-claude-integration/notebooklm-patterns"><img src="https://agentmods.dev/badge/skills/ray-manaloto/notebooklm-claude-integration/notebooklm-patterns.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 | $0.00047 | $0.00785 |
| Opus 5 | $0.00023 | $0.00392 |
| Sonnet 5 | $0.00009 | $0.00157 |
| Haiku 4.5 | $0.00005 | $0.00078 |
Grade A, and why
notebooklm-patterns 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 10d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- notebooklm-patterns — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NotebookLM Codex Skill (RPC)
Provide a reliable, repeatable workflow to authenticate with NotebookLM and automate queries using notebooklm-mcp.
Tool Reference (RPC)
Authentication
mcp__notebooklm-rpc__save_auth_tokens
Notebooks
mcp__notebooklm-rpc__notebook_listmcp__notebooklm-rpc__notebook_createmcp__notebooklm-rpc__notebook_getmcp__notebooklm-rpc__notebook_describemcp__notebooklm-rpc__notebook_renamemcp__notebooklm-rpc__notebook_deletemcp__notebooklm-rpc__notebook_query
Sources
mcp__notebooklm-rpc__notebook_add_urlmcp__notebooklm-rpc__notebook_add_textmcp__notebooklm-rpc__notebook_add_drivemcp__notebooklm-rpc__source_list_drivemcp__notebooklm-rpc__source_sync_drivemcp__notebooklm-rpc__source_deletemcp__notebooklm-rpc__source_describe
Research
mcp__notebooklm-rpc__research_startmcp__notebooklm-rpc__research_statusmcp__notebooklm-rpc__research_import
Chat Configuration
mcp__notebooklm-rpc__chat_configure
Studio
mcp__notebooklm-rpc__audio_overview_createmcp__notebooklm-rpc__video_overview_createmcp__notebooklm-rpc__infographic_createmcp__notebooklm-rpc__slide_deck_createmcp__notebooklm-rpc__studio_statusmcp__notebooklm-rpc__studio_delete
If tools are missing, ask the user to run pixi run mcp-install-code and ensure cookies are saved via notebooklm-mcp-auth + save_auth_tokens.
Authentication Workflow
NotebookLM has no public API; authentication is cookie-based:
- Run
notebooklm-mcp-authand complete Google login. - Call
save_auth_tokensto persist cookies to~/.notebooklm-mcp/auth.json. - Retry NotebookLM RPC tools.
Core Query Workflow
- List notebooks:
notebook_list. - Ask a question:
notebook_querywithnotebook_id+question. - For follow-ups, pass
session_idfrom the prior response.
Multi-Notebook Query
notebook_listto get IDs.- Query each notebook via
notebook_querywith the same question. - Aggregate responses labeled by notebook name/ID and citations.
What ships with it
1 file 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.
- 10d ago First seen · 84 lines · 47 tokens per session scan A 5bcdfd17684a
notebooklm-patterns is a skill published in the GitHub repository ray-manaloto/notebooklm-claude-integration (15 stars, last pushed 8mo ago), licensed MIT. It adds 47 tokens to every session and 785 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 2026-08-30.
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