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notebooklm-cli-cookiesNotebookLM CLI cookies 搜索

Agent Skill

notebooklm-cli-cookies 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

36,456

周安装

1,550

GitHub Stars

公开资料未说明

下载量

12,772
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:notebooklm-cli-cookies(NotebookLM CLI cookies 搜索)
来源仓库:https://github.com/lhquangit/notebooklm-cli-cookies
安装命令:
openclaw skills install notebooklm-cli-cookies
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install notebooklm-cli-cookies

简介

使用 nlm CLI 搜索并回答有关已上传到 NotebookLM 的文档的问题。当用户要求查找信息、总结来源或查询特定 NotebookLM 笔记本时使用。

SKILL.md

name
notebooklm-cli
description
Search and answer questions over documents already uploaded to NotebookLM using the nlm CLI. Use when users ask to find information, summarize sources, or query a specific NotebookLM notebook.
metadata
{"openclaw":{"requires":{"bins":["nlm"],"env":["NOTEBOOKLM_MCP_CLI_PATH"]}}}
user-invocable
true

NotebookLM CLI

Purpose

Use this skill when the user wants to search or ask questions over content that already exists in NotebookLM notebooks.

This skill assumes:

  • nlm is installed (notebooklm-mcp-cli package).
  • Auth was pre-injected for headless runtime.
  • NOTEBOOKLM_MCP_CLI_PATH points to the auth storage directory.

Hard Rules (avoid wrong tool choices)

When the user mentions any of the following, treat it as a strict request to query NotebookLM:

  • "NotebookLM", "notebooklm"
  • "notebook alias", "alias"
  • a known alias name (for example: tai_lieu_dien, nlm_tai_lieu_dien)

In these cases:

  • Always run nlm via Exec to answer. Do not answer from memory.
  • Do not switch to web search unless the user explicitly asks for web sources.
  • If the answer is not in the notebook, say so (based on the nlm output).

Slash command:

  • If the user invokes this skill via /nlm ... in Telegram, treat the raw text after /nlm as the nlm arguments.
  • Always execute exactly: nlm <args> via Exec, and return the relevant stdout.

Runtime Checks

Before running queries:

  1. Verify auth path is configured:
echo "$NOTEBOOKLM_MCP_CLI_PATH"
  1. Verify login status:
nlm login --check

If auth check fails, stop and ask for auth refresh workflow (do not run browser login in AWS runtime).

Query Workflow

  1. List notebooks:
nlm notebook list --json
  1. Select notebook:
  • If user provided notebook id, use it directly.
  • If user provided title, resolve it to notebook_id from the list output (do not pass raw title into nlm notebook get/source list/query).
  • If user provided alias, use the alias.
  • If ambiguous, ask user to choose one notebook.
  1. Query notebook:
nlm notebook query "<notebook_id_or_alias>" "<user_question>"
  1. Return answer and include which notebook was queried.

Notes:

  • nlm notebook list returns titles for display, but many other commands expect a notebook id (UUID) or an alias. Passing a title like "tài liệu điện" may return null/empty results.
  • If the user will query the same notebook often, create an alias and use it consistently (for example: tai_lieu_dien).

Telegram Prompt Templates (copy/paste)

Prefer one of these formats to reliably trigger this skill:

1) Force CLI query:

Chạy lệnh: nlm notebook query tai_lieu_dien "giá của A9N61500 là bao nhiêu? Nếu notebook không có thông tin giá thì trả lời: không thấy trong NotebookLM."

2) Natural language but explicit:

Trong NotebookLM notebook alias tai_lieu_dien: trả lời câu hỏi "giá của A9N61500 là bao nhiêu?". Bắt buộc dùng nlm để truy vấn, không tìm web, không đọc file local.

Output Guidelines

  • Be explicit about notebook identity (title + id when available).
  • If query result is empty or vague, suggest a refined follow-up query.
  • Prefer concise, factual answers grounded in NotebookLM response.

Common Errors

  • Authentication expired / 401 / 403:

- Check NOTEBOOKLM_MCP_CLI_PATH. - Ensure profiles/default/cookies.json and profiles/default/metadata.json exist. - Refresh cookies outside AWS (machine with browser), then redeploy secret.

  • nlm: command not found:

- Install package: pipx install notebooklm-mcp-cli (recommended), or uv tool install notebooklm-mcp-cli.

Command Reference

# List notebooks
nlm notebook list --json

# Query notebook by id or alias
nlm notebook query "<notebook_id_or_alias>" "<question>"

# Check auth status
nlm login --check

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

84.38%
按下载量换算10,777

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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