Redfox Subscribe logo

Redfox Subscribe

Community
redfox-data
redfox-subscribe

红狐订阅中心 — 统一管理全部可订阅内容源:账号追踪、AI 日报、行业日报、热榜推送。用户说「我要订阅」时展示分组菜单并引导完成订阅;「我的订阅」汇总当前所有定时推送任务;支持一键取消订阅。当用户想要订阅日报、追踪账号更新、管理推送任务、查看或取消已有订阅时使用。触发词:订阅、我要订阅、订阅中心、我的订阅、取消订阅、日报订阅、推送管理、定时推送。

Overview

Publisherredfox-data
Repositoryredfox-community
Skill nameredfox-subscribe
Stars
449
Forks
59
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Redfox Subscribe 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/redfox-subscribe
  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/redfox-subscribe .claude/skills/redfox-subscribe
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Redfox Subscribe 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 Redfox Subscribe 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 Redfox Subscribe 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.

订阅中心

红狐生态的统一订阅入口:汇总全部可订阅内容源(账号追踪 / AI 日报 / 行业日报 / 热榜推送),帮用户完成订阅、查看已有订阅、取消订阅。


角色与职责(Agent 必须遵守)

本 skill 是路由中心,自身不创建定时任务、不调用数据 API:

  • 订阅/取消的具体执行由目标 skill 自己的订阅流程完成,各 skill 的订阅机制(自动化任务、schedule_create、脚本 --subscribe 参数等)一律以其自身 SKILL.md 为准
  • 本 skill 只负责四件事:展示菜单、理解意图、路由到目标 skill、汇总订阅状态
  • 禁止在本 skill 里内联任何数据拉取逻辑;禁止替目标 skill 编造订阅参数

可订阅内容源总表

推送时间为各 skill 的默认约定,以目标 skill 的 SKILL.md 为准。

一、账号追踪

内容源目标 skill默认推送说明
抖音账号作品追踪douyin-subscribe每日 9:00最多 20 个抖音号,每日作品 HTML 报告
公众号文章追踪gzh-subscribe每日 6:00盯梢竞对/同类/关注公众号的文章推送

二、AI 日报(每日扫描 AI 相关内容,聚类生成日报)

内容源目标 skill说明
抖音 AI 日报douyin-ai-feed抖音 AI 作品互动量榜单
公众号 AI 日报gzh-ai-feedAI 公众号热门文章
小红书 AI 日报xiaohongshu-ai-feedAI 相关热门笔记
视频号 AI 日报wechat-channels-ai-feed视频号 AI 作品
快手 AI 日报ks-ai-feed快手 AI 作品
B站 AI 日报bili-ai-feedB站 AI 视频

三、行业日报

内容源目标 skill说明
文旅日报(抖音/小红书/公众号/B站)cultural-tourism-douyin-feed / cultural-tourism-xiaohongshu-feed / cultural-tourism-wechat-feed / cultural-tourism-bilibili-feed每日 17 点更新前一天数据,按平台任选
短剧日报(抖音/小红书/公众号/B站)playlet-douyin-feed / playlet-xiaohongshu-feed / playlet-wechat-feed / playlet-bili-feed短剧行业热门内容
A股舆情stock-feed小红书/抖音/公众号三平台股市舆情

四、热榜与爆款推送

内容源目标 skill推送频率说明
抖音热榜douyin-hot-trend每小时热点事件 + 热度值
全网热搜聚合trending-hub每小时抖音/微博/B站/快手/知乎/头条/百度 7 平台
抖音每日最热 TOP50douyin-daily-hot每日支持赛道分类
公众号 10w+ 热文wechat-10w-hot每日全领域 10w+ 文章
公众号原创热门wechat-original-hot每日原创热门文章

工作流程

场景 1:「我要订阅」

  1. 展示分组菜单:按上表四大类分组展示(同类合并,不要把 20+ 个源平铺),每项标注推送频率;问用户想订哪一类/哪几个
  2. 用户选择后,路由到目标 skill:
    • 先读目标 skill 的 SKILL.md,优先使用其自带的订阅机制(如 douyin-subscribe 的自动化任务流程、douyin-ai-feed 的 --subscribe 参数)
    • 若目标 skill 没有订阅入口,Agent 使用当前平台的定时任务能力创建每日任务(dsh:schedule_create + every_seconds;Qoder:automation_update / schedule),prompt 中写明「执行 技能,生成今日报告」
  3. 完成后告知用户:订阅的内容、推送时间、如何取消(「对我说取消 XX 订阅即可」)

场景 2:「我的订阅」

  1. 列出当前生效的定时任务(按平台能力):
    • dsh:schedule_list
    • Qoder:automation_update mode=list / schedule 任务列表
    • 脚本级订阅:按目标 skill 文档检查其订阅状态
  2. 汇总表展示:订阅内容 / 推送频率 / 关联的任务标识
  3. 若没有任何订阅,引导用户浏览订阅菜单

场景 3:「取消订阅」

  1. 从现有任务中定位目标(按内容/名称匹配,歧义时向用户确认)
  2. 执行取消:
    • dsh:schedule_delete
    • Qoder:删除对应自动化任务
    • 脚本级:走目标 skill 的 --unsubscribe 或其取消流程
  3. 告知取消结果;若该任务内还有其他订阅内容(如多账号),只移除对应项并保留任务

交互规则

  • 静默执行:中间步骤(读 SKILL.md、查询任务列表、创建/删除任务)不向用户输出过程提示,只展示最终结果
  • 高频确认:订阅每小时级推送(热榜类)前,明确告知推送频率并征得确认
  • 账号类订阅(如抖音号追踪)需要用户提供具体账号时,按其目标 skill 的要求索取(如抖音号而非昵称)
  • 用户描述模糊时(如「订阅 AI 日报」没说平台),列出 AI 日报类的 6 个平台供其选择,不要自行假设

Frequently asked questions

What does the Redfox Subscribe AI skill do?

红狐订阅中心 — 统一管理全部可订阅内容源:账号追踪、AI 日报、行业日报、热榜推送。用户说「我要订阅」时展示分组菜单并引导完成订阅;「我的订阅」汇总当前所有定时推送任务;支持一键取消订阅。当用户想要订阅日报、追踪账号更新、管理推送任务、查看或取消已有订阅时使用。触发词:订阅、我要订阅、订阅中心、我的订阅、取消订阅、日报订阅、推送管理、定时推送。

Why use Redfox Subscribe on TypingMind?

Because you install it once and use it with any model. Redfox Subscribe 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 Redfox Subscribe in TypingMind?

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

Which AI models can use Redfox Subscribe?

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 Redfox Subscribe?

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

Is the Redfox Subscribe 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇