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cninfo-to-notebooklmcninfo TO NotebookLM 搜索

Agent Skill

cninfo-to-notebooklm 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

4,393

周安装

176

GitHub Stars

38

下载量

1,422
CodexClaudeCursorGemini CLI

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

unknown

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:cninfo-to-notebooklm(cninfo TO NotebookLM 搜索)
来源仓库:https://github.com/jarodise/cninfo2notebookllm
仓库路径:skills/cninfo-to-notebooklm
安装命令:
npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/jarodise/cninfo2notebookllm --skill cninfo-to-notebooklm

简介

用于下载 cninfo.com.cn 上的上市公司年报与定期报告,并上传至 NotebookLM 进行分析。

  • 适用于 A 股与港股公司的财务研究与 AI 驱动的洞察生成,配备专业财经 persona。
  • 支持按股票代码或公司名称定位文档,自动解析后构建知识库供提问使用。
  • 需确保目标公司存在公开披露文件,且网络可访问 cninfo 数据源。
  • cninfo-to-notebooklm 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

CNinfo to NotebookLM

Overview

Download annual and periodic reports for China A-share and Hong Kong stocks from cninfo.com.cn and upload them to NotebookLM for AI-powered analysis with a specialized "Financial Analyst" persona.

When to Use

  • User provides a China stock name or code (A-share or Hong Kong)
  • User wants to analyze a company's financial reports
  • User asks to "download reports" or "research" a Chinese stock
  • User wants to upload stock reports to NotebookLM

Supported Markets

MarketCode PatternExamples
A-share6-digit codes (0xxxxx, 3xxxxx, 6xxxxx)600519 (贵州茅台), 000001 (平安银行)
Hong Kong5-digit codes (00xxx, 01xxx, 02xxx, 09xxx)00700 (腾讯控股), 09988 (阿里巴巴)

Core Workflow

User provides stock name/code
        ↓
1. Look up stock in database (auto-detect market)
        ↓
2. Download reports from cninfo:
   - Last 5 years annual reports (年度报告)
   - Current year: Q1, semi-annual, Q3 reports
        ↓
3. Create NotebookLM notebook
        ↓
4. Configure "Financial Analyst" persona with custom prompt
        ↓
5. Upload all PDFs as sources
        ↓
6. Return notebook ID ✅

Step-by-Step Instructions

Step 0: Environment Setup (First Run Only)

Crucial: Before running the script, verify the environment is ready.

  1. Check Dependencies: Verify if the dependencies are installed (specifically notebooklm and playwright).
  2. Install: If dependencies are missing or this is the first run, execute the installation script: chmod +x install.sh &&./install.sh
  3. Authenticate: Ensure the user has authenticated with NotebookLM (notebooklm login). If not, ask them to do so.

Step 1: Run Main Orchestration Script

Run the script from the skill directory:

python3 scripts/run.py <stock_code_or_name>

Examples:

  • python3 scripts/run.py 600350 - A-share stock
  • python3 scripts/run.py 山东高速 - A-share by name
  • python3 scripts/run.py 00700 - Hong Kong stock (Tencent)
  • python3 scripts/run.py 腾讯控股 - Hong Kong by name

This script handles everything:

  1. Downloads reports to a temp directory.
  2. Creates a NotebookLM notebook.
  3. Configures the notebook with assets/financial_analyst_prompt.txt.
  4. Uploads all PDFs.
  5. Cleans up temp files.

Step 2: Report to User

Provide:

  • ✅ Number of reports downloaded & uploaded
  • 📚 NotebookLM notebook ID
  • 📊 Market type (A-share or Hong Kong)
  • 💡 Remind user the notebook creates a "Financial Analyst" persona for deep analysis.

Configuration

The skill uses a custom system prompt located at: assets/financial_analyst_prompt.txt

This prompt configures NotebookLM to act as a "Financial Report Analyst" based on "Hand-holding Financial Reporting" methodology.

Error Handling

ErrorSolution
Stock not foundCheck if code is valid A-share or Hong Kong stock
NotebookLM CLI not foundEnsure notebooklm-py matches requirements.txt and is in PATH
Auth missingRun notebooklm login to authenticate via browser
Upload failedCheck network connection and NotebookLM service status

Dependencies

  • Python 3.8+
  • httpx package
  • notebooklm-py package
  • playwright (for authentication)

Quick Reference

A-share Report Types

Report TypeCategory CodePeriod
Annualcategory_ndbg_szshPrevious 5 years
Semi-Annualcategory_bndbg_szshCurrent year
Q1 Reportcategory_yjdbg_szshCurrent year
Q3 Reportcategory_sjdbg_szshCurrent year

Hong Kong Stock Differences

AspectA-shareHong Kong
Market codeszsehke
CategoriesUses category codesEmpty categories
Search keyUses Chinese search termsEmpty search key
Report namingYYYY年年度报告May use Arabic/Chinese numerals
Search periodFollowing year (March-June)Same year or following year

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

35.42%
按下载量换算504

Claude

29.9%
按下载量换算425

Cursor

18.15%
按下载量换算258

Gemini CLI

8.81%
按下载量换算125

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

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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