notebooklm-py is an unofficial Python library and command-line interface that lets programs and AI agents use Google Gemini Notebook, including features unavailable in its web interface. It supports automated research and content workflows for developers, researchers, and personal projects. The catalogue entries provide agent skills and instructions for operating NotebookLM through coding agents.
Borrowing it
Nothing to install: this file belongs to teng-lin/notebooklm-py. 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/teng-lin/notebooklm-py/main/CLAUDE.mdgit clone --depth 1 https://github.com/teng-lin/notebooklm-pyWrote 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/instructions/teng-lin/notebooklm-py/claude-md)<a href="https://agentmods.dev/instructions/teng-lin/notebooklm-py/claude-md"><img src="https://agentmods.dev/badge/instructions/teng-lin/notebooklm-py/claude-md/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/instructions/teng-lin/notebooklm-py/claude-md"><img src="https://agentmods.dev/badge/instructions/teng-lin/notebooklm-py/claude-md.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 | $0.01359 | $0.01359 |
| Opus 5.5 | $0.00544 | $0.00544 |
| Sonnet 5.5 | $0.00272 | $0.00272 |
| Haiku 4.5 | $0.00136 | $0.00136 |
Grade A, and why
notebooklm-py CLAUDE.md 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 1mo 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Guidance for Claude Code working in this repository. Follow conventions in CONTRIBUTING.md.
Project Overview
notebooklm-py is an unofficial async Python client for Google NotebookLM, driving Google's internal batchexecute RPC protocol to automate notebooks, sources, chat, and studio artifacts.
Critical constraint: Obfuscated RPC method IDs in src/notebooklm/rpc/_identifiers.py are undocumented and Google changes them periodically — the #1 breakage class. rpc/types.py re-exports them for backwards compatibility.
Development Commands
See docs/installation.md for the full installation guide.
# Contributor install (matches CI test jobs):
uv sync --frozen --extra browser --extra dev --extra markdown \
--extra mcp --extra server --extra impersonate
source .venv/bin/activate
uv run playwright install chromium
uv run pytest # all tests (e2e excluded by default)
uv run pytest --cov # with coverage
uv run pytest tests/e2e -m e2e # e2e (requires auth)
uv run notebooklm --help # CLI
Always install the full extras set (mcp, server, impersonate); omitting them causes adapter suites to skip silently, masking errors and failing the 90% coverage threshold.
# Approximate nightly coverage gate:
uv run pytest -n auto --dist loadgroup --cov=src/notebooklm \
--cov-report=term-missing --cov-fail-under=90
--dist loadgroup is required to honor @pytest.mark.xdist_group. Avoid piping test commands into tail/grep to prevent masking non-zero exit codes.
Before Pushing
CI enforces formatting, linting, type checks, and tests:
uv run ruff check .
uv run ruff format --check .
uv run mypy src/notebooklm scripts/_live_auth_scenarios --ignore-missing-imports
uv run pytest
Architecture
Adapters (cli/, mcp/, server/) → _app/ (business logic) → client.py + _runtime/ → selected backend (_web/ or _android/) → raw.py (rpc/ is Web compatibility facade).
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.
- 1mo ago Changed · -7 lines · -546 tokens per session 812aa43542f1
- 1mo ago Changed · +16 tokens per session b43f436c6b06
- 1mo ago Changed · +48 tokens per session 3406b0e789c7
- 1mo ago First seen · 107 lines · 1,841 tokens per session scan A bfb7b0c6a3b7
notebooklm-py CLAUDE.md is an instructions file published in the GitHub repository teng-lin/notebooklm-py (19,852 stars, last pushed today), licensed MIT. It adds 1,359 tokens to every session, about $0.0054 per session on Opus 5.5. 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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