notebooklm-mcp-cli AGENTS.md

Project instructions for notebooklm-mcp-cli, a command-line tool connected to NotebookLM, Google's research and note-taking service.

In plain words
What is it for?
Use them when working on that project to load its required context and update its session and backlog files.
Why use it?
They tell the agent which project files to read first and what records to update before ending a session.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/robiton/notebooklm-mcp-cli/agents-md
Clone the repo
git clone --depth 1 https://github.com/Robiton/notebooklm-mcp-cli

Made for: Codex, OpenCode.

Per session 278 This file is loaded in full into every session.
When invoked 278 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin fork From a forked repository.
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 $0.00278 $0.00278
Opus 5 $0.00139 $0.00139
Sonnet 5 $0.00056 $0.00056
Haiku 4.5 $0.00028 $0.00028

Measured 2d ago against content hash 1dae8734b836, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

notebooklm-mcp-cli 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 2d 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 · 29 lines

What it actually says

AI Context Bootstrap

Read ai/STANDARDS.md and load all files in the order it specifies before beginning any work. Do not start coding, planning, or responding until the full load order is complete.

This project uses version format: MAJOR.MINOR.PATCH.YYYYMMDD.HHMM Example: 1.0.0.20260325.0624

At the end of every session, update ai/SESSION.md and ai/BACKLOG.md. Never store credentials, secrets, or PHI in any ai/ file.

End of session — required before closing

Before ending any session, you MUST:

  1. Update ai/SESSION.md — what was done, decisions made, next steps
  2. Update ai/BACKLOG.md — mark completed tasks, add new ones
  3. Remind the user to commit and push both files

Supported tools

This file (AGENTS.md) is the universal standard read by all AI coding tools: Cursor, Codex, Windsurf, GitHub Copilot, Aider, Zed, Warp, Devin, and others.

CLAUDE.md is a symlink to this file for Claude Code compatibility. If CLAUDE.md does not exist, run: ln -s AGENTS.md CLAUDE.md

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. 2d ago First seen · 29 lines · 278 tokens per session scan A 1dae8734b836

Subscribe to this mod's changes

notebooklm-mcp-cli AGENTS.md is an instructions file published in the GitHub repository Robiton/notebooklm-mcp-cli (0 stars, last pushed 4mo ago), licensed MIT. It adds 278 tokens to every session, about $0.0014 per session on Opus 5. A static security scan graded it A with 0 findings. It comes from a forked repository.