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instagram-analyticsInstagram 分析

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

8,397

周安装

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GitHub Stars

1

下载量

2,717
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:instagram-analytics(Instagram 分析)
来源仓库:https://github.com/snoopyrain/instagram-analytics
安装命令:
openclaw skills install instagram-analytics
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 instagram-analytics

简介

instagram-analytics 跟踪 Instagram 表现,分析指标如覆盖范围与 Reels 表现。

  • 适用于需要监控账号数据与内容效果评估的用户。
  • 支持指标计算与异常数据提示。
  • 安装命令:openclaw skills install instagram-analytics,需绑定 Instagram API。
  • 使用前应确认数据脱敏与导出权限。

SKILL.md

name
instagram-analytics
description
Track Instagram performance and analytics. Use when the user says 'Instagram analytics', 'Instagram metrics', 'how are my Reels doing', 'Instagram reach', 'IG engagement', 'Instagram follower growth', or wants to see reach, followers, interactions, and Reels performance for their Instagram Business account.
version
1.0.0
metadata
openclaw
emoji
📊
homepage
https://boring-doc.aiagent-me.com/getting-started/mcp.html
requires
config

Instagram Analytics

Track your Instagram performance — reach, followers, interactions, Reels metrics, and post-level 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 Instagram — requires an Instagram Business or Creator account
  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 APIAccount-level overview (reach, followers, interactions)
boring_get_video_analyticsReal-time platform APIPer-post/Reel metrics (views, likes, comments, shares)
boring_get_posts_performanceDaily snapshots (collected at 2 AM)Historical post 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 instagram platform.

Step 2: Determine What the User Wants

User RequestTool to Use
"How is my Instagram doing?"boring_get_performance
"Show my best Reels"boring_get_video_analytics
"Instagram performance this month"boring_get_posts_performance
"What did I post on IG?"boring_get_publish_history

Step 3: Fetch Data

Account-Level Performance

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

Per-Post Analytics (Real-Time)

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

Historical Post 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:

  • Account overview: Show reach, followers, profile views in a summary table
  • Post analytics: Rank posts by engagement, highlight top Reels
  • Historical: Show trends over time, compare Reels vs Photos vs Carousels

Instagram Metrics

MetricDescription
reachAccounts reached
follower_countTotal followers
profile_viewsProfile visits
total_interactionsLikes + comments + saves + shares
ig_reels_avg_watch_timeAverage Reels watch time
ig_reels_video_view_total_timeTotal Reels view time

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

76.24%
按下载量换算2,071

安全审计

VirusTotal

通过

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通过

Static analysis

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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

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来源信息

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