xiaohongshu-cover

xiaohongshu-cover is a skill for Claude Code, Codex from redfox-data/redfox-community-dsh. It costs 103 tokens per session (3,258 once invoked), scanned A, original, MIT.

An AI cover-planning tool for Xiaohongshu, a Chinese social platform for lifestyle and product content. It studies popular covers in a topic area and produces three cover concepts with examples and image-generation prompts.

In plain words
What is it for?
Use it to plan 3:4 portrait covers for tutorials, product content, brand posts, or other Xiaohongshu topics.
Why use it?
It reduces the research and design work needed to choose a visual direction for a post cover.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan 3:4 portrait covers for tutorials, product content, brand posts, or other Xiaohongshu topics.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/redfox-data/redfox-community-dsh/xiaohongshu-cover
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add redfox-data/redfox-community-dsh --skill xiaohongshu-cover
Clone the repo
git clone --depth 1 https://github.com/redfox-data/redfox-community-dsh

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for xiaohongshu-cover

README.md
[![agentmods](https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/xiaohongshu-cover/github.svg)](https://agentmods.dev/skills/redfox-data/redfox-community-dsh/xiaohongshu-cover)
Your own site
<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/xiaohongshu-cover"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/xiaohongshu-cover/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for xiaohongshu-cover

Your own site · 80×15
<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/xiaohongshu-cover"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/xiaohongshu-cover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,258 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00103 $0.03258
Opus 5 $0.00051 $0.01629
Sonnet 5 $0.00021 $0.00652
Haiku 4.5 $0.00010 $0.00326

Measured 7d ago against content hash 97cca7d2ad10, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

xiaohongshu-cover scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/fetch_explosive_covers.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/xiaohongshu-cover/SKILL.md · 304 lines

How it starts

The opening of the file, as written. The whole thing — 304 lines — stays where its author put it; the contents beside it link to each section on GitHub.

小红书爆款封面生成

简介

小红书爆款封面生成是一款专为小红书内容创作者打造的 AI 封面设计工具,基于全网每日持续收录的 2000+ 条爆款笔记数据,深度抓取同赛道爆款封面的视觉元素,通过 AI 智能分析总结高转化视觉规律,生成贴合笔记内容、符合平台流量审美的可落地封面设计方案。

通过简单的主题描述,你可以:

  • 🔍 自动解析创作意图,精准提取关键信息
  • 📊 获取目标领域真实爆款封面图,AI 分析总结风格特征
  • 🎨 结合用户需求与爆款数据,生成可落地的设计方案(含案例 + 生图提示词)

适用于小红书博主、内容运营、品牌方、MCN 机构等需要提升笔记封面点击率的场景。


功能特性

🎯 核心功能

  • 🧠 智能意图解析:自动解析用户文案意图,提取内容主题、类型、风格偏好和核心关键词
  • 📊 爆款数据查询:调用红狐数据接口,获取低粉高赞、点赞最多、单日互动爆发、7日持续增长四维爆款数据
  • 🖼️ AI 图像分析:逐张识别爆款封面图的文字、场景、色调、构图等视觉元素,分类汇总风格规律
  • 🎨 定制方案生成:结合用户需求与爆款风格特征,输出三种差异化封面设计方案(含生图提示词)

✨ 特色亮点

  • 📈 数据驱动:基于日更 2000+ 条真实爆款笔记数据,拒绝拍脑袋设计
  • ⚡ 全流程自动化:从意图解析到方案生成,7 步标准流程一键完成
  • 🎯 精准匹配:智能评分筛选机制,确保推荐内容与用户需求高度相关
  • 📱 平台适配:所有方案均适配小红书 3:4 竖版封面规格(1080x1440像素)

⚠️ 触发规则

以下情况才执行任务流程

  • 用户提供了具体的内容主题或赛道(如"帮我设计美妆教程封面"、"职场穿搭封面怎么设计")
  • 用户明确要求生成封面方案
  • 用户上传了文案或图片要求分析

以下情况只介绍技能,不执行任务

  • 用户询问"这个技能能做什么"、"怎么用"
  • 用户只是了解功能,未提出具体需求
  • 用户未提供明确的创作主题或方向

⚠️ 术语规范(强制执行)

本技能统一使用"爆款封面"这一术语,禁止使用以下词汇

❌ 禁止使用 ✅ 正确表述
爆炸封面 爆款封面
爆炸数据 爆款数据
抓取数据 获取/查询数据
抓取封面 获取封面

⚠️ 强制要求:在执行过程中,所有对外输出的文字必须使用"爆款封面"相关表述,包括但不限于:

  • 标题、段落、步骤说明
  • 对话回复
  • 生成的分析报告
  • 生成的提示词

一键安装

前置条件

  • Python 3.8+ 运行环境
  • 已获取红狐数据 API Key

获取 API Key

  1. 访问 红狐Hub 官网 了解服务详情
  2. 前往 注册页面 注册账号
  3. 新注册用户将获赠免费积分,可立即开始使用 API 服务
  4. 注册登录后,在个人中心获取 API Key,格式为 ak_xxxxxxxx

配置 API Key

REDFOX_API_KEY 从环境变量获取,格式 ak_xxxxxxxx

若未设置,提示用户自行配置;若用户不会配置,Agent 应主动帮用户设置:

操作系统 配置命令
macOS/Linux(zsh) export REDFOX_API_KEY=<值> 追加到 ~/.zshrc,然后 source ~/.zshrc
macOS/Linux(bash) export REDFOX_API_KEY=<值> 追加到 ~/.bashrc,然后 source ~/.bashrc
Windows 执行 [Environment]::SetEnvironmentVariable("REDFOX_API_KEY", "<值>", "User")(需重启终端生效)

配置完成后应验证:echo $REDFOX_API_KEY(macOS/Linux)或 echo %REDFOX_API_KEY%(Windows),确保换一个 skill 也能读取到

依赖安装

pip install requests>=2.28.0

Read the full file on GitHub · 304 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 304 lines · 103 tokens per session scan A 97cca7d2ad10

Subscribe to this mod's changes

xiaohongshu-cover is a skill published in the GitHub repository redfox-data/redfox-community-dsh (5 stars, last pushed today), licensed MIT. It adds 103 tokens to every session and 3,258 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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