公众号爆款选题雷达：把全网热点聚成可执行的选题清单
公众号爆款选题雷达（wechat-topic-radar，v1.0.0，MIT-0）是一个基于通用 SKILL.md 格式的 Python 技能包，由 liujian 编写、ClawHub 上由 sxzxlj 维护。它从知乎、微博、小红书、公众号等 20 多个平台抓取公开热点，用平台热度、互动热度、趋势热度、内容质量、爆款潜力五个维度（权重写在 config/config.yaml 里）打分排序，并针对高分选题输出五种切入角度、竞品角度分布和差异化建议，最终产出 HTML 交互报告与 JSON 数据。文章交代了安装方式（openclaw skills install）、Python 依赖、配置文件三段结构，以及 scan、quick、analyze、compare 四个子命令和 Python API 的可复现用法，最后列出第三方 API 数据准确性、平台合规、热点时效、算法仅作参考、维护状态五个使用注意点。
Read Morexby-hot-news: An MCP Protocol-Based Plugin for Aggregating Hot Topics Across the Web
`xby-hot-news` is a hot-topic aggregation plugin for DeepSeek Harness based on the MCP protocol. Installation requires running CLI commands and configuring an API key. The plugin provides 25 functions spanning news and information (e.g., 36Kr, BBC, NetEase), tech and digital (e.g., 9to5Mac, InfoQ, Juejin), video and entertainment (e.g., Bilibili, Douyin), and consumer reading (e.g., Douban, smzdm), offering agents a one-stop way to retrieve trending topics across the entire web.
Read Morexby-daily-hot: An MCP-Based All-in-One Aggregation Service for Web-Wide Trending Topics
xby-daily-hot is a DSH plugin based on the Model Context Protocol (MCP), designed to simplify the process for agents to access trending data across the entire web. The plugin provides a one-stop trending topic aggregation service, covering news and information, social media, technology, and video communities. It supports mainstream platforms such as Baidu, Weibo, and Bilibili, and offers custom RSS and web scraping capabilities. After registering on the official Xiaobenyang website to obtain an API key, users can quickly invoke various types of trending data through a unified command, making it suitable for scenarios such as news aggregation analysis and agent development.
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