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.
npx skills add redfox-data/redfox-community-dsh --skill wechat-10w-hotgit clone --depth 1 https://github.com/redfox-data/redfox-community-dshWrote 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.
[](https://agentmods.dev/skills/redfox-data/redfox-community-dsh/wechat-10w-hot)<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/wechat-10w-hot"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/wechat-10w-hot/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.
<a href="https://agentmods.dev/skills/redfox-data/redfox-community-dsh/wechat-10w-hot"><img src="https://agentmods.dev/badge/skills/redfox-data/redfox-community-dsh/wechat-10w-hot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00067 | $0.04400 |
| Opus 5 | $0.00034 | $0.02200 |
| Sonnet 5 | $0.00013 | $0.00880 |
| Haiku 4.5 | $0.00007 | $0.00440 |
Grade A, and why
wechat-10w-hot scanned grade A with 1 finding 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 8d ago.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
无需额外安装，脚本使用Python标准库（urllib.request）。 How it starts
The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
公众号10w+文章
1. 简介
一句话定位：公众号10w+阅读爆文推荐工具，全网持续收录每日1000+条公众号10w+文章，支持按领域分类查询、智能爆款规律分析和HTML报告导出。
核心价值：
- 海量收录：每日收录1000+条10w+阅读文章，覆盖22个标准分类
- 智能分析：基于四维度内容分析（内容概述、热点利用、传播作用、达成效果）
- 可视化报告：自动生成公众号风格HTML页面，支持PDF导出
适用对象：公众号运营者、内容创作者、自媒体编辑、市场运营、爆文研究者。
2. 功能特性
核心功能
| 功能模块 | 能力描述 | 核心价值 |
|---|---|---|
| 📊 爆文榜单推送 | 获取全领域10w+阅读文章TOP50 | 快速了解公众号爆文风向 |
| 🏷️ 领域分类查询 | 22个标准分类独立查询 | 精准定位垂直领域爆文 |
| 📝 四维度内容分析 | 内容概述/热点利用/传播作用/达成效果 | 深度解析爆文成功要素 |
| 📈 爆款规律分析 | 标题特征/内容主题/发布时间/账号特征 | 提炼可复用的爆款方法论 |
| 🎨 HTML可视化报告 | 微信绿主题设计，支持PDF导出 | 便于分享存档和数据汇报 |
| ⏰ 订阅推送 | 每日19:30定时推送 | 持续追踪，不错过爆文 |
特色亮点
- 智能时间判断：根据数据更新时间(18:30)自动计算正确查询区间
- 分页预览机制：首次展示前10条，按需展示完整50条
- 四维度分析：每篇文章从内容概述、热点利用、传播作用、达成效果四方面深度分析
- HTML防分页：PDF导出自适应单页模式，所有内容完整展示
3. 一键安装
鉴权
获取 API Key
请前往 红狐hub 获取API KEY
配置 API Key
方案1: 以OpenClaw为例，将REDFOX_API_KEY添加到~/.openclaw/openclaw.json中，部分内容如下：
{ "env": { "REDFOX_API_KEY": "ak_xxxx..." } }
方案2: 终端配置：
export REDFOX_API_KEY="ak_xxxx..."
依赖安装
无需额外安装，脚本使用Python标准库（urllib.request）。
环境变量配置
| 变量名 | 说明 | 必填 |
|---|---|---|
REDFOX_API_KEY |
红狐 API Key | 是 |
4. 使用指南
基础使用
查询全领域10w+文章（总榜）
启动后提示用户：「技能已加载完成。是否为您推送最新的10w+阅读文章。」
总榜请求直接推送最新10w+阅读文章TOP50（首次预览展示前10条）。
领域关键词查询
输入具体领域关键词（如"AI编程"、"财经"、"健康饮食"），系统自动匹配22个标准分类并输出该领域TOP10。
标准22分类：人文资讯、知识百科、健康养生、时尚潮流、美食餐饮、乐活生活、旅游出行、搞笑幽默、情感心理、体育娱乐、美容美体、文摘精选、财富理财、科技数码、创投商业、汽车交通、房产楼市、职场发展、教育考试、学术研究、企业品牌、总排名。
分类泛化映射规则详见 references/category-mapping.md。
高级使用
标准执行流程
- 用户意图识别：智能体识别总榜请求/领域查询/模糊输入
- 获取爆文数据：调用
scripts/fetch_hot_articles.py脚本（必须调用，禁止自行生成） - 爆款规律分析：基于实际文章数据进行四维度分析
- 询问订阅：主动询问用户是否需要订阅特定领域
- 生成HTML页面：调用
scripts/generate_hot_html.py生成可视化报告 - 处理用户订阅选择：根据用户回复执行订阅逻辑
脚本参数说明
python scripts/fetch_hot_articles.py --type "分类名称" --start_date YYYY-MM-DD --end_date YYYY-MM-DD --mode preview --limit 10 --source "公众号10w+阅读文章推荐"
What ships with it
7 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.
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.
- 8d ago First seen · 346 lines · 67 tokens per session scan A fce6fb9abcc4
wechat-10w-hot is a skill published in the GitHub repository redfox-data/redfox-community-dsh (6 stars, last pushed yesterday), licensed MIT. It adds 67 tokens to every session and 4,400 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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