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Tiktok Account Analyzer

Community
redfox-data
tiktok-account-analyzer

TikTok账号深度分析，输入TikTok主页链接、handle、secUserId或昵称即可定位账号，一次输出账号基础信息、主页作品榜与喜欢作品透视三类数据。基于红狐数据，作品含播放、点赞、评论、收藏与分享数据及作品链接，输出六维量化诊断（100分制评分+风险预警）、爆款作品拆解、喜欢偏好解读与账号诊断总结，支持翻页与 HTML 报告导出。适用于 TikTok 达人背调、竞品账号拆解、合作前评估时使用。触发词：TikTok账号分析、TikTok账号诊断、TikTok达人背调、TikTok账号深度分析、TikTok博主分析、TikTok账号数据、TikTok竞品分析。

Overview

Publisherredfox-data
Repositoryredfox-community
Skill nametiktok-account-analyzer
Stars
449
Forks
59
Bundled files
7
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by redfox-data on GitHub. Read the source before you install it.

Installation

Install the Tiktok Account Analyzer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/redfox-data/redfox-community/tree/main/skills/tiktok-account-analyzer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/redfox-data/redfox-community.git /tmp/redfox-community
mkdir -p .claude/skills
cp -r /tmp/redfox-community/skills/tiktok-account-analyzer .claude/skills/tiktok-account-analyzer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tiktok Account Analyzer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tiktok Account Analyzer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tiktok Account Analyzer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

TikTok账号深度分析

输入一个 TikTok 账号，基础信息、主页作品、喜欢作品三类数据一次看清。

触发场景

当用户提出以下需求时使用本 Skill：

  • "帮我分析一下这个 TikTok 账号"（附主页链接 / @handle / secUserId）
  • "帮我背调一下这个达人，看看值不值得合作"
  • "拆解一下竞品账号的内容策略"
  • "看看这个博主最近发了什么、数据怎么样"
  • "搜一下 xxx（昵称/关键词），帮我找找对应账号并分析"

账号定位规则（昵称 / 关键词需搜索确认、主页链接 / handle / secUserId 可直接定位）与三类数据的查询规则详见 references/core_workflow.md。

数据说明

输出内容

  • 账号基础信息：昵称、TikTok号、粉丝数、关注数、获赞总数、作品数、地区、认证、签名与主页链接
  • 主页作品榜：序号、发布时间、作品、播放、点赞、评论、收藏、分享与作品链接
  • 喜欢作品透视：该账号喜欢（点赞）的作品，含发布时间、作品、作者、播放、点赞与作品链接
  • 六维量化诊断：100 分制综合评分 + 四级评级，覆盖账号基础画像 / 内容生产力 / 互动健康度 / 内容质量 / 内容趋势 / 粉丝质量六维度，量级自适应基准，附六类风险预警（僵尸粉 / 刷量 / 衰退 / 限流 / 断更 / 单条依赖）
  • 爆款作品 TOP3 拆解：结合内容与数据表现，推测爆款原因（附作品链接）
  • 喜欢偏好解读：归纳该账号喜欢的内容类型与作者圈层（明确为推测）
  • 账号诊断总结：账号定位、内容策略、数据表现与商业化信号（100~200 字分析）
  • HTML 报告：一次查询同步生成，含六维量化诊断、爆款作品 TOP3 拆解与账号诊断总结，支持导出 PDF / 高清图片
  • 分页信息：主页作品与喜欢作品均支持翻页查看
  • 固定提醒：输出中附带 API Key 获取提醒

排序与口径

  • 主页作品与喜欢作品均按发布时间倒序；爆款拆解按播放数降序取 TOP3
  • 所有数值均来自数据服务返回，如实展示；发布时间按北京时间展示日期
  • 主页链接按 TikTok号 生成；作品链接使用接口返回的完整链接
  • 喜欢列表为私密的账号可能查不到喜欢作品，此时如实说明
  • 爆款原因、喜欢偏好与账号诊断为基于公开数据的 AI 分析，输出时明确标注为推测
  • 六维量化诊断由规则离线计算（不消耗积分），评分规则详见 references/diagnosis_rules.md；评分基准为 TikTok 初始校准值，随样本积累持续微调

一键安装

前置条件

  • Python 3.8+（仅使用标准库，无需安装额外依赖）
  • 红狐数据 API Key（前往 红狐 hub 注册获取）

安装步骤

  1. 将技能文件夹放入你的 Skills 目录
  2. 配置环境变量 REDFOX_API_KEY（配置细节详见 references/core_workflow.md）
  3. 无需安装额外依赖，直接使用

工作流程

核心执行流程（账号定位、脚本调用、表格渲染规则、六维量化诊断计算、空结果与错误处理等）详见 references/core_workflow.md，评分规则详见 references/diagnosis_rules.md，Agent 执行时必须遵循这两个文件中的所有规则。

使用指南

🔑 鉴权

首次使用需配置环境变量 REDFOX_API_KEY：前往 红狐 hub 注册账号并获取 API Key，终端与 OpenClaw 的配置方式详见 references/core_workflow.md Step 0。

常用说法速查

意图示例话术效果
分析指定账号「分析一下这个账号」+ 主页链接 / @handle / secUserId输出账号基础信息、主页作品榜与喜欢作品透视
达人背调「帮我背调一下 @tomcurtainofficial」基础信息 + 主页作品 + 喜欢作品一次输出，附六维量化诊断与诊断总结
按昵称找账号「分析一下 Tom Curtain 这个账号」先展示候选账号供确认，选定后继续分析
量化诊断「给这个账号打个分」「评估合作价值」输出六维量化诊断：综合评分、维度明细与风险预警
只看主页作品「看看这个账号最近发了什么」输出主页作品榜与爆款作品 TOP3 拆解
只看喜欢作品「看看这个账号喜欢什么内容」输出喜欢作品透视与喜欢偏好解读
继续翻页「看下一页」基于上一页提示继续输出下一页
导出报告「导出报告」提供 HTML 报告，支持导出 PDF / 高清图片
查看原始数据「输出原始返回」输出原始数据内容

注意事项

  1. 数据真实性：所有数值均来自数据服务返回，如实展示，严禁估算或编造
  2. 账号定位准确：昵称 / 关键词存在重名情况，须先展示候选账号由用户确认后再分析；主页链接 / handle / secUserId 可直接定位
  3. 积分保护：每次成功查询可能消耗积分，全量分析一次最多包含 3 次数据查询（搜索定位 + 主页作品 + 喜欢作品）；六维量化诊断与 HTML 报告为本地离线计算，不消耗积分；未经用户明确指定，不主动翻页或批量查询多个账号
  4. 鉴权：首次使用需配置环境变量 REDFOX_API_KEY，API Key 获取与配置详见 references/core_workflow.md
  5. 链接完整性：输出中的链接保持完整可点击，不使用被终端截断的 URL
  6. 分析为推测：爆款原因、喜欢偏好与账号诊断基于公开数据撰写，须明确标注为推测，不虚构

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tiktok Account Analyzer AI skill do?

TikTok账号深度分析，输入TikTok主页链接、handle、secUserId或昵称即可定位账号，一次输出账号基础信息、主页作品榜与喜欢作品透视三类数据。基于红狐数据，作品含播放、点赞、评论、收藏与分享数据及作品链接，输出六维量化诊断（100分制评分+风险预警）、爆款作品拆解、喜欢偏好解读与账号诊断总结，支持翻页与 HTML 报告导出。适用于 TikTok 达人背调、竞品账号拆解、合作前评估时使用。触发词：TikTok账号分析、TikTok账号诊断、TikTok达人背调、TikTok账号深度分析、TikTok博主分析、TikTok账号数据、TikTok竞品分析。

Why use Tiktok Account Analyzer on TypingMind?

Because you install it once and use it with any model. Tiktok Account Analyzer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tiktok Account Analyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/redfox-data/redfox-community/tree/main/skills/tiktok-account-analyzer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Tiktok Account Analyzer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tiktok Account Analyzer?

As many as you like. As long as a model supports skills, you can use Tiktok Account Analyzer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tiktok Account Analyzer AI skill free?

It is published on GitHub by redfox-data. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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