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tiktok-analytics抖音分析

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

5,866

周安装

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下载量

1,917
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:tiktok-analytics(抖音分析)
来源仓库:https://github.com/snoopyrain/tiktok-analytics
安装命令:
openclaw skills install tiktok-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 tiktok-analytics

简介

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。

  • 适用于追踪 TikTok 表现,包括播放量、互动率与粉丝增长趋势。
  • 支持自定义指标汇总与异常值识别,输出可读分析报告。
  • 安装命令为 openclaw skills install tiktok-analytics,需确认数据源字段含义与时间范围。
  • 导出或修改数据前应核实权限,敏感信息需脱敏处理。

SKILL.md

name
tiktok-analytics
description
Track TikTok performance and analytics. Use when the user says 'TikTok analytics', 'TikTok metrics', 'how are my TikToks doing', 'TikTok video views', 'TikTok engagement', 'TikTok performance', or wants to see video views, likes, comments, shares, and account-level metrics for their TikTok account.
version
1.0.0
metadata
openclaw
emoji
📊
homepage
https://boring-doc.aiagent-me.com/getting-started/mcp.html
requires
config

TikTok Analytics

Track your TikTok performance — video views, likes, comments, shares, and account-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 TikTok account via 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 APIAccount-level overview (views, engagement)
boring_get_video_analyticsReal-time platform APIPer-video metrics (views, likes, comments, shares)
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 tiktok platform.

Step 2: Determine What the User Wants

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

Step 3: Fetch Data

Account-Level Performance

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

Per-Video Analytics (Real-Time)

boring_get_video_analytics(
  account_id="<account_id>",
  platform="tiktok",
  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:

  • Account overview: Show key metrics in a summary table
  • Video analytics: Rank videos by views or engagement, highlight viral hits
  • Historical: Show trends over time

TikTok Metrics

MetricDescription
Video viewsTotal views per video
LikesVideo likes
CommentsVideo comments
SharesVideo shares
Account performanceAggregated account-level metrics

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

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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

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77.92%
按下载量换算1,494

安全审计

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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

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。

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