Tiktok Hot Search logo

Tiktok Hot Search

Community
redfox-data
tiktok-hot-search

TikTok热门搜索,一次输入关键词同时获取热门视频、相关用户与相关话题三类数据。基于红狐数据,视频支持排序与发布时间、地区筛选,用户支持粉丝数与认证筛选,话题附浏览量、使用次数与直达链接,输出榜单表格、爆款视频拆解、达人推荐与话题趋势解读,支持翻页与 HTML 报告导出。适用于 TikTok 出海选题调研、竞品扫描、达人发现时使用。触发词:TikTok热门搜索、TikTok视频搜索、TikTok用户搜索、TikTok话题搜索、TikTok关键词搜索、TikTok搜索、TikTok搜视频、TikTok搜用户、TikTok找达人。

Overview

Publisherredfox-data
Repositoryredfox-community
Skill nametiktok-hot-search
Stars
449
Forks
59
Bundled files
4
Links
  • 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.

  • 4 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 Hot Search 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-hot-search
  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-hot-search .claude/skills/tiktok-hot-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tiktok Hot Search 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 Hot Search 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 Hot Search 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热门搜索

一次输入关键词,视频、用户、话题三类结果一屏看清。


触发场景

当用户提出以下需求时使用本 Skill:

  • "搜一下 TikTok 上 xxx 相关的视频"
  • "TikTok 上做 xxx 的账号有哪些,帮我找找达人"
  • "查一下 xxx 这个话题在 TikTok 上的数据"
  • "帮我搜一下 xxx"(泛指搜索,三类数据都看)

用户只提到某一类(视频 / 用户 / 话题)时,只查询对应的那一类,不默认追加其他类型。三类的判断与查询规则详见 references/core_workflow.md。


数据说明

输出内容

  • 视频列表:序号、作者、作品 ID、播放、点赞、评论、分享、发布时间、作品链接、内容摘要
  • 用户列表:序号、昵称、TikTok号、粉丝数、获赞总数、作品数、主页链接
  • 话题列表:序号、话题、话题 ID、浏览量、使用次数、话题链接
  • 爆款视频 TOP3 拆解:结合内容与数据表现,推测爆款原因(附作品链接)
  • 达人推荐 TOP3:结合账号数据与关键词相关性,给出关注理由(附主页链接)
  • 话题趋势解读:归纳话题热度、使用趋势与商业化信号(附话题链接)
  • HTML 报告:一次查询同步生成,支持导出 PDF / 高清图片
  • 分页信息:附带下一页继续查看提示,可按需翻页
  • 固定提醒:输出中附带 API Key 获取提醒

排序与口径

  • 视频默认按播放数降序,可切换点赞、评论、分享或按原始相关度顺序输出
  • 用户默认按粉丝数降序;话题默认按浏览量降序
  • 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
  • 用户主页链接按 TikTok号 生成
  • 爆款原因、关注理由与话题解读为基于公开数据的 AI 分析,输出时明确标注为推测

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(意图识别、脚本调用、表格渲染规则、空结果与错误处理等)详见 references/core_workflow.md,Agent 执行时必须遵循该文件中的所有规则。


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
搜索视频「搜一下 TikTok 上 NVIDIA 的视频」输出视频列表与爆款视频 TOP3 拆解(默认按播放数降序)
找账号 / 达人「TikTok 上做手冲咖啡的账号有哪些」输出用户列表与达人推荐 TOP3(默认按粉丝数降序)
查话题「查一下 cat 话题在 TikTok 上的数据」输出话题列表与话题趋势解读(默认按浏览量降序)
一次全搜「帮我搜一下露营装备」视频、用户、话题三类数据一次输出,各附分析
排序与时间筛选「按点赞排序,只看最近一周的」视频按点赞降序 + 发布时间筛选
粉丝数筛选「只看 10 万粉以上的账号」用户按粉丝数区间筛选
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. 查询无果不替换:空结果时如实说明并给出可选调整方向,不自动改查其他关键词
  3. 积分保护:每次成功查询可能消耗积分,全量搜索一次包含 3 次数据查询;未经用户明确指定,不主动翻页或批量查询多个关键词
  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、关注理由与话题解读基于公开数据撰写,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 Hot Search AI skill do?

TikTok热门搜索,一次输入关键词同时获取热门视频、相关用户与相关话题三类数据。基于红狐数据,视频支持排序与发布时间、地区筛选,用户支持粉丝数与认证筛选,话题附浏览量、使用次数与直达链接,输出榜单表格、爆款视频拆解、达人推荐与话题趋势解读,支持翻页与 HTML 报告导出。适用于 TikTok 出海选题调研、竞品扫描、达人发现时使用。触发词:TikTok热门搜索、TikTok视频搜索、TikTok用户搜索、TikTok话题搜索、TikTok关键词搜索、TikTok搜索、TikTok搜视频、TikTok搜用户、TikTok找达人。

Why use Tiktok Hot Search on TypingMind?

Because you install it once and use it with any model. Tiktok Hot Search 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 Hot Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/redfox-data/redfox-community/tree/main/skills/tiktok-hot-search. 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 Hot Search?

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 Hot Search?

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

Is the Tiktok Hot Search 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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