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youtube-performanceYouTube 表演

Agent Skill

youtube-performance 用于辅助视频、动画、脚本化剪辑和多媒体生成流程,适合在 OpenClaw 中需要整理视频素材、生成脚本或维护合成项目时使用。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

4,703

周安装

194

GitHub Stars

公开资料未说明

下载量

1,536
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:youtube-performance(YouTube 表演)
来源仓库:https://github.com/snoopyrain/youtube-performance
安装命令:
openclaw skills install youtube-performance
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 youtube-performance

简介

跟踪 YouTube 频道表现与关键指标变化趋势。

  • 响应“分析”、“观看量”等自然语言查询自动调取数据。
  • 覆盖播放量、互动率、观众留存等核心维度。youtube-performance 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 数据延迟约 24-48 小时,实时性有限。
  • 建议定期查看,结合外部活动评估增长动因。

SKILL.md

name
youtube-performance
description
Track YouTube channel performance and analytics. Use when the user says 'YouTube analytics', 'YouTube metrics', 'how is my YouTube doing', 'video views', 'watch time', 'subscriber growth', 'YouTube engagement', or wants to see views, watch time, subscribers, and per-video metrics for their YouTube channel.
version
1.0.0
metadata
openclaw
emoji
📊
homepage
https://boring-doc.aiagent-me.com/getting-started/mcp.html
requires
config

YouTube Analytics

Track your YouTube channel performance — views, watch time, subscriber growth, and per-video engagement. Powered by Boring.

Security & Data Handling

  • MCP link is a credential: Your MCP Server URL (https://boring.aiagent-me.com/mcp/t/xxxxx...) contains an embedded authentication token. Treat it like a password — do not share it publicly.
  • Token scope: The embedded token is read-only for analytics. It can only fetch performance metrics and account metadata. It cannot publish, delete, or modify any content on your social media accounts.
  • Token storage: The token is stored server-side in Boring's database (MongoDB on DigitalOcean). It is never written to your local filesystem. You can regenerate or revoke it anytime at boring.aiagent-me.com/settings.
  • Data flow: Analytics queries are sent from Boring's server (Google Cloud, us-central1) to the platform's API on your behalf. Only performance metrics are retrieved — no content is uploaded or modified.
  • No local credentials: No local API keys, environment variables, or secrets are needed. All auth is embedded in the MCP link.
  • Third-party service: This skill relies on Boring, an open-source social media management tool. Source code: github.com/snoopyrain.

Prerequisites

  1. Sign up at boring.aiagent-me.com with Google
  2. Connect YouTube — select the target channel during OAuth
  3. Get your MCP link: Go to Settings → copy your MCP Server URL (contains your auth token — treat it like a password)
  4. Add to Claude: Paste the MCP link as a Connector — no install, no API key needed

Available Tools

ToolData SourceBest For
boring_get_performanceReal-time platform APIChannel-level overview (views, watch time, subscribers)
boring_get_video_analyticsReal-time platform APIPer-video metrics (views, likes, comments, shares, watch time)
boring_get_posts_performanceDaily snapshots (collected at 2 AM)Historical video performance over date ranges
boring_get_publish_historyBoring databasePublishing history and status tracking

Workflow

Step 1: List Accounts

Call boring_list_accounts and filter for youtube platform.

Step 2: Determine What the User Wants

User RequestTool to Use
"How is my YouTube doing?"boring_get_performance
"Show my best videos"boring_get_video_analytics
"YouTube performance this month"boring_get_posts_performance
"What did I upload recently?"boring_get_publish_history

Step 3: Fetch Data

Channel-Level Performance

boring_get_performance(
  account_id="<account_id>",
  platform="youtube",
  period="week"       // "day", "week", or "month"
)

Per-Video Analytics (Real-Time)

boring_get_video_analytics(
  account_id="<account_id>",
  platform="youtube",
  limit=20             // max 100
)

Historical Video Performance (Snapshots)

boring_get_posts_performance(
  account_id="<account_id>",
  since="2025-12-01",
  until="2025-12-31",
  limit=20
)

Step 4: Present Results

Format the data clearly:

  • Channel overview: Show views, watch time, subscriber changes in a summary table
  • Video analytics: Rank videos by views or engagement, highlight top performers
  • Historical: Show trends over time, compare Shorts vs long-form

YouTube Metrics

MetricDescription
viewsTotal video views
likesVideo likes
commentsVideo comments
sharesVideo shares
estimatedMinutesWatchedTotal watch time in minutes
averageViewDurationAverage view duration
subscribersGainedNew subscribers gained
subscribersLostSubscribers lost

Error Handling

ErrorSolution
InvalidApiKeyMCP link may be invalid — regenerate it at boring.aiagent-me.com Settings
InvalidAccountIdRun boring_list_accounts to get valid IDs
TokenExpiredReconnect account at boring.aiagent-me.com
No data returnedAccount may be newly connected — data collection runs daily at 2 AM

Documentation

Full API docs: boring-doc.aiagent-me.com

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

73.65%
按下载量换算1,131

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

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。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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