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use-youtube-data-mcpUSE youtube 数据 MCP

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

624

周安装

26

GitHub Stars

公开资料未说明

下载量

208
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:use-youtube-data-mcp(USE youtube 数据 MCP)
来源仓库:https://github.com/17854120992/use-youtube-data-mcp-skill
仓库路径:skills/use-youtube-data-mcp
安装命令:
npx skills add https://github.com/17854120992/use-youtube-data-mcp-skill --skill use-youtube-data-mcp
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/17854120992/use-youtube-data-mcp-skill --skill use-youtube-data-mcp

简介

use-youtube-data-mcp 用于辅助数据整理、表格处理和指标计算,适合让 Agent 清洗字段、汇总数据或生成统计说明。

  • 适用于 CSV/Excel 分析、图表准备和数据口径梳理等场景。
  • 可自动识别异常值、汇总统计量并输出可读分析结果。
  • 安装命令为 npx skills add https://github.com/17854120992/use-youtube-data-mcp-skill --skill use-youtube-data-mcp。
  • 使用时需确认数据来源与字段含义,避免将样本当作全量事实。

SKILL.md

Use YouTube Data MCP

Workflow

  1. Confirm Node.js is installed and npm and npx work.
  2. Ask user for API key only when missing.
  3. Detect client and OS, then write MCP config.
  4. Verify MCP connectivity and run capability discovery:

- tools/list - get_patch_notes

  1. Strongly recommend helper skill and Python dependency setup for users who want the full local document and spreadsheet workflow.
  2. Explain to user how to use current MCP abilities in plain language.

Step 1: Confirm Node.js Tooling

  • Assume this skill has already been installed with npx skills add.... Do not try to self-update or reinstall this skill unless the user explicitly asks.
  • First check the latest stable Node.js release using an official Node.js source when internet access is available.
  • Then verify local tooling:
node -v
npm -v
npx -v
  • If node is missing, the agent should install Node.js directly instead of asking the user to do it manually.
  • If installation requires elevated permissions, the agent should request permission and then perform the installation itself once permission is granted.
  • If node exists but npm or npx fails, treat the local Node.js installation as incomplete and have the agent repair or reinstall Node.js directly instead of sending the user away to do it.
  • After Node.js is confirmed, continue with MCP setup. Do not block on Python here.

Step 2: Ask For API Key

  • If API key is not already provided in env or config, ask user once:

- Please provide your MCP API key for https://mkterswingman.com

  • Never echo full key in logs; mask with prefix/suffix in outputs.

Step 3: Configure MCP Client

- URL: https://mkterswingman.com/mcp - Header: Authorization: Bearer <API_KEY> - Transport: Streamable HTTP (or tool-specific equivalent)

Step 4: Post-Install Capability Discovery

  • Immediately call:

- tools/list - get_patch_notes

  • Summarize:

- Newest features and limits - Which tools support batch input - Recommended usage patterns for the current release

Step 5: Strongly Recommended Local File Workflow Setup

  • For most users, strongly recommend this step after MCP setup succeeds. It enables the full local document and spreadsheet workflow around the MCP.
  • Install optional helper skills with public GitHub URLs:
npx -y skills add https://github.com/anthropics/skills/tree/main/skills/docx --yes
npx -y skills add https://github.com/anthropics/skills/tree/main/skills/xlsx --yes
npx -y skills add https://github.com/anthropics/skills/tree/main/skills/pptx --yes
  • If the active agent requires explicit targets, add the same --agent... --global options the user used for the main skill install.
  • Explain that helper skill installation is separate from MCP setup. The YouTube Data MCP is already usable even before these helpers are installed, but most users will benefit from adding them.
  • For Python-backed spreadsheet workflows, assume Python may be missing and verify the interpreter first:
python3 --version
  • If python3 is unavailable, also check:
python --version
  • If neither python3 nor python is available, ask the agent to search for the latest official Python installation method for the user's current OS before giving instructions.
  • If Python is available but the spreadsheet stack is missing, ask the agent to search for the latest recommended install method for pandas and openpyxl on the user's current platform before giving instructions.

Step 6: User Briefing Template

  • Tell user:

- Besides subtitle fetching, most tools support batch inputs. - User can paste multiple links directly in chat. - User can also provide Excel, CSV, and DOCX for link extraction after the strongly recommended helper setup. - Results can be written back to local DOCX or Excel after the strongly recommended helper setup.

Notes

  • Keep subtitle mode as single-video per request unless project rules change.
  • If a client config path is uncertain, scan candidate config files and pick the one that already contains MCP settings first.
  • After changing client config, remind user to restart the client if required.
  • Do not assume Codex-specific directories exist. Use agent-neutral commands unless the user explicitly states a client-specific path.

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

34.31%
按下载量换算71

Claude

33.39%
按下载量换算69

Cursor

19.76%
按下载量换算41

Gemini CLI

10.11%
按下载量换算21

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

未通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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