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notebooklm-py: Instructions file for Codex

AGENTS.md

notebooklm-py AGENTS.md is an instructions file for Codex, OpenCode from teng-lin/notebooklm-py. It costs 602 tokens per session, scanned A, original, MIT.

Repository instructions for coding agents working on the notebooklm-py Python project. They cover its folders, coding conventions, build tools, tests, and checks.

In plain words
What is it for?
Navigating the source and test directories, running tests and quality checks, and following the project’s naming and organization rules.
Why use it?
They reduce guesswork about where code belongs and which checks should run before changes are accepted.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is teng-lin/notebooklm-py's own configuration. It tells Codex and OpenCode how to work on notebooklm-py itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything notebooklm-py configures →

not rated 20krepo +88 changed 1mo ago A scan 602 tokens original MIT
View source ↗ teng-lin/notebooklm-py
About the project

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.

teng-lin/notebooklm-py · 19,852 stars · on GitHub

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/teng-lin/notebooklm-py/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/teng-lin/notebooklm-py

Made for: Codex, OpenCode.

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Per session 602 This file is loaded in full into every session.
When invoked 602 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00602 $0.00602
Opus 5.5 $0.00241 $0.00241
Sonnet 5.5 $0.00120 $0.00120
Haiku 4.5 $0.00060 $0.00060

Measured 1mo ago against content hash 64636404cadf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

notebooklm-py AGENTS.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.

AGENTS.md · 43 lines

How it starts

The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Status: Active Last Updated: 2026-09-07

Structure & Modules

src/notebooklm/ contains the async client (client.py) and typed exports (__init__.py).

  • Internal: _*.py and _*/ (_app/, _auth/, _runtime/, _sources.py, _artifacts.py).
  • Adapters & Wire: cli/ (Click), mcp/ (FastMCP), server/ (FastAPI), rpc/ (batchexecute RPC facade), _android/ (gRPC session & codecs).
  • Tests & Data: tests/unit/, tests/integration/ (VCR), tests/server/, tests/e2e/, tests/_guardrails/, tests/_fault_server/, tests/cassettes/ (web/, android/). Examples in examples/, tools in scripts/.

Development Commands

Canonical contributor install (full guide: docs/installation.md):

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
uv run pytest -n auto --dist loadgroup  # faster parallel run
uv run ruff check .
uv run ruff format --check .
uv run mypy src/notebooklm

Conventions & Testing

  • Style: Python 3.10+, 4 spaces, double quotes, 100-char line limit (Ruff enforced).
  • Naming: snake_case modules and tests (test_<behavior>.py). Preserve public/internal split (_*.py).
  • Testing: Unit logic in tests/unit/, REST in tests/server/, VCR replay in tests/integration/ (record: NOTEBOOKLM_VCR_RECORD=1 uv run pytest tests/integration/ -v), e2e in tests/e2e/. 90% coverage gate.
  • Commits/PRs: Conventional commits (feat(cli):, fix:, refactor:, style:). Link issues and report test runs.

Parallel & Autonomous Agents

  • Prefer --json output and pass explicit notebook IDs instead of relying on stateful notebooklm use.
  • Isolate concurrent runs with NOTEBOOKLM_PROFILE=agent-<id> (~/.notebooklm/profiles/<name>/) or NOTEBOOKLM_HOME=/tmp/agent-<id>.
  • In headless environments, authenticate with notebooklm login --browser-cookies <browser> (requires pip install "notebooklm-py[cookies]").

Read the full file on GitHub · 43 lines

Changes

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.

  1. 1mo ago Changed · -2 lines · -166 tokens per session 64636404cadf
  2. 1mo ago Changed · +24 tokens per session 5aa2e743940f
  3. 1mo ago First seen · 45 lines · 744 tokens per session scan A 9397c617b105

Subscribe to this mod's changes

notebooklm-py AGENTS.md is an instructions file published in the GitHub repository teng-lin/notebooklm-py (19,852 stars, last pushed today), licensed MIT. It adds 602 tokens to every session, about $0.0024 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.

PythonTestinggoogle-notebooklmnotebooklmnotebooklm-apisdkskills
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