返回顶部
b

boring-social-analytics

Track social media performance and analytics across platforms using Boring. Use when the user says 'show my analytics', 'check social media performance', 'how are my posts doing', 'engagement report', 'post metrics', 'view stats', or wants to see performance data for Facebook, Instagram, Threads, YouTube, or TikTok accounts.

作者: admin | 来源: ClawHub
源自
ClawHub
版本
V 1.0.1
安全检测
已通过
85
下载量
0
收藏
概述
安装方式
版本历史

boring-social-analytics

# Boring Social Analytics Track performance and engagement across all your social media platforms. Powered by [Boring](https://boring-doc.aiagent-me.com). ## Security & Data Handling - **MCP link is a credential**: Your MCP Server URL contains an embedded authentication token. Treat it like a password — do not share it publicly. Regenerate anytime in Settings. - **Data flow**: Analytics queries are sent from Boring's server to social media platform APIs (Facebook, Instagram, Threads, YouTube, TikTok) on your behalf. Only performance metrics are retrieved — no content is uploaded. - **No local credentials**: No local API keys or environment variables needed. All auth is embedded in the MCP link. ## Prerequisites 1. **Sign up** at [boring.aiagent-me.com](https://boring.aiagent-me.com) with Google 2. **Connect accounts** — supports Facebook, Instagram, Threads, YouTube, TikTok 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 Analytics Tools | Tool | Data Source | Best For | |------|-----------|----------| | `boring_get_performance` | Real-time platform API | Account-level overview (reach, engagement, followers) | | `boring_get_video_analytics` | Real-time platform API | Per-post/video metrics (views, likes, comments, shares) | | `boring_get_posts_performance` | Daily snapshots (collected at 2 AM) | Historical post performance over date ranges | | `boring_get_publish_history` | Boring database | Publishing history and status tracking | ## Workflow ### Step 1: List Accounts Call `boring_list_accounts` to see all connected platforms. Show a summary to the user. ### Step 2: Determine What the User Wants | User Request | Tool to Use | |-------------|------------| | "How is my account doing?" | `boring_get_performance` | | "Show my best posts" | `boring_get_video_analytics` | | "Performance over the last month" | `boring_get_posts_performance` | | "What did I post recently?" | `boring_get_publish_history` | | "Compare platforms" | `boring_get_performance` for each platform | ### Step 3: Fetch Data #### Account-Level Performance ``` boring_get_performance( account_id="<account_id>", platform="instagram", period="week" // "day", "week", or "month" ) ``` Returns metrics like reach, follower count, engagement rate, profile views. #### Per-Post Analytics (Real-Time) ``` boring_get_video_analytics( account_id="<account_id>", platform="instagram", limit=20 // max 100 ) ``` Returns per-post data: views, likes, comments, shares for up to 100 recent posts. #### Historical Post Performance (Snapshots) ``` boring_get_posts_performance( account_id="<account_id>", since="2025-12-01", // YYYY-MM-DD (default: 30 days ago) until="2025-12-31", // YYYY-MM-DD (default: today) limit=20 // max 100 ) ``` Returns post-level engagement, metrics, and content from daily collected snapshots. #### Publishing History ``` boring_get_publish_history( limit=20, platform="facebook" // optional filter ) ``` Returns recent publishing activity with status and post IDs. ### Step 4: Present Results Format the data clearly for the user: **For account overview**: Show key metrics in a summary table **For post analytics**: Rank posts by engagement, highlight top performers **For cross-platform comparison**: Side-by-side metrics across platforms **For historical data**: Show trends over time ## Metrics by Platform ### Facebook - `page_media_view`: Total video views - `page_post_engagements`: Likes, comments, shares - `page_total_actions`: Total page actions ### Instagram - `reach`: Accounts reached - `follower_count`: Total followers - `profile_views`: Profile visits - `total_interactions`: Likes + comments + saves + shares - Reels: `ig_reels_avg_watch_time`, `ig_reels_video_view_total_time` ### Threads - `views`: Post views - `likes`, `replies`, `reposts`, `quotes` - `followers_count`: Account followers ### YouTube - `views`, `likes`, `comments`, `shares` - `estimatedMinutesWatched`: Total watch time - `averageViewDuration`: Average view duration - `subscribersGained` / `subscribersLost` ### TikTok - Video views, likes, comments, shares - Account-level performance metrics ## Cross-Platform Comparison When the user asks to compare platforms, fetch `boring_get_performance` for each connected account and present a unified table: ``` | Platform | Reach | Engagement | Followers | |-----------|---------|------------|-----------| | Facebook | 12,500 | 1,200 | 5,000 | | Instagram | 8,300 | 2,100 | 3,200 | | Threads | 3,100 | 450 | 1,800 | | YouTube | 15,000 | 3,500 | 2,100 | ``` ## Error Handling | Error | Solution | |-------|----------| | `InvalidApiKey` | MCP link may be invalid — regenerate it at boring.aiagent-me.com Settings | | `InvalidAccountId` | Run `boring_list_accounts` to get valid IDs | | `TokenExpired` | Reconnect account at boring.aiagent-me.com | | No data returned | Account may be newly connected — data collection runs daily at 2 AM | ## Documentation Full API docs: [boring-doc.aiagent-me.com](https://boring-doc.aiagent-me.com)

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 boring-social-analytics-1775985797 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 boring-social-analytics-1775985797 技能

通过命令行安装

skillhub install boring-social-analytics-1775985797

下载 Zip 包

⬇ 下载 boring-social-analytics v1.0.1

文件大小: 3.03 KB | 发布时间: 2026-4-13 09:32

v1.0.1 最新 2026-4-13 09:32
- Added a "Security & Data Handling" section explaining the credential nature of the MCP link and clarifying data flow and authentication.
- Introduced a new "requires" metadata block specifying that a MCP Connector link is needed.
- Updated setup instructions to emphasize the sensitive, credential-like nature of the MCP link.
- No changes to functionality or API usage; documentation improvements only.

Archiver·手机版·闲社网·闲社论坛·羊毛社区· 多链控股集团有限公司 · 苏ICP备2025199260号-1

Powered by Discuz! X5.0   © 2024-2025 闲社网·线报更新论坛·羊毛分享社区·http://xianshe.com

p2p_official_large
返回顶部