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.
npx skills add Robiton/notebooklm-mcp-cli --skill datagit clone --depth 1 https://github.com/Robiton/notebooklm-mcp-cliWrote 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/robiton/notebooklm-mcp-cli/data)<a href="https://agentmods.dev/skills/robiton/notebooklm-mcp-cli/data"><img src="https://agentmods.dev/badge/skills/robiton/notebooklm-mcp-cli/data/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/robiton/notebooklm-mcp-cli/data"><img src="https://agentmods.dev/badge/skills/robiton/notebooklm-mcp-cli/data.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 | $0.00146 | $0.13974 |
| Opus 5.5 | $0.00058 | $0.05590 |
| Sonnet 5.5 | $0.00029 | $0.02795 |
| Haiku 4.5 | $0.00015 | $0.01397 |
Grade A, and why
nlm-skill 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 4d 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.
This is a copy
86% identical to nlm-skill — 32 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 1,125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Notebook CLI & MCP Expert
This skill provides comprehensive guidance for using Gemini Notebook via both the nlm CLI and MCP tools.
Tool Detection (CRITICAL - Read First!)
ALWAYS check which tools are available before proceeding:
- Check for MCP tools: Tool names vary by host; look for
mcp__gemini-notebook-mcp__*,mcp__notebooklm_mcp__*, ormcp_gemini_notebook_mcp_*. - Follow an explicit surface choice: If the user asks for MCP or CLI, use it.
- Choose by task when both are available: Use MCP for notebook operations and downloads inside its configured download directory. Use the CLI for an explicit
--profilewithout changing the MCP default account, or for a user-directed output path outside the MCP download directory. Ask only if the choice would materially change the result and the user's preference is unclear. - Use the available surface when only MCP or only CLI is callable; read its tool docstring or
nlm <command> --helpbefore supplying unfamiliar options.
Decision Logic:
has_mcp_tools = check_available_tools() # Look for any NotebookLM MCP tool name above
has_cli = check_bash_available() # Can run nlm commands
if user_named_mcp_or_cli:
use_that_surface()
elif needs_workspace_output_outside_mcp_root or needs_explicit_profile_without_switching_default:
use_cli()
elif has_mcp_tools:
use_mcp()
elif has_cli:
use_cli()
Check the active account before a mutation when more than one profile is saved: nlm login profile list shows accounts, and nlm config get auth.default_profile shows the MCP default. CLI commands can use --profile <name>. MCP tools use the active profile: call the profile tool (action=list, then action=switch with name=...) to change it for this MCP server until it restarts (add make_default=true only when the user asks to change their default). While a switch is active, tool results carry active_profile_note; tell the user which account is in use. usage_get(profile=...) is an account-specific read and does not switch other MCP tools.
What ships with it
7 files 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.
- 4d ago Changed · +409 lines · +10 tokens per session 7f75f71bb64f
- 1mo ago First seen · 716 lines · 136 tokens per session scan A ef609a3f9857
nlm-skill is a skill published in the GitHub repository Robiton/notebooklm-mcp-cli (0 stars, last pushed 4d ago), licensed MIT. It adds 146 tokens to every session and 13,974 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to nlm-skill, differing in 32 lines, and is treated as a copy.
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