trend-radar
Real-time trending topics aggregator across 7 platforms (X/Twitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend pulse', '热点', '热搜', or asks what is trending/hot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.
- License 许可
- MIT
- 最近更新
- 2026-04-14
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- trend-radar
- metadata
- { "openclaw": { "emoji": "📡", "install": [ { "id": "brew-python3", "bins": [ "python3" ], "kind": "brew", "label": "Install Python 3 (brew)", "package": "python3" } ], "requires": { "bins": [ "python3" ] } } }
- description
- Real-time trending topics aggregator across 7 platforms (X/Twitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend pulse', '热点', '热搜', or asks what is trending/hot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.
- allowed-tools
- Bash(python3:*), Bash(crontab:*), Read
02 资源文件 15
- 参考文档_meta.json130 B
- 参考文档.clawhub/origin.json143 B
- 参考文档package.json158 B
- 参考文档README_zh.md2.8 KB
- 参考文档README.md3.8 KB
- 脚本scripts/scheduler.py3.8 KB
- 脚本scripts/sources/__init__.py—
- 脚本scripts/sources/bilibili.py4.1 KB
- 脚本scripts/sources/google.py3.3 KB
- 脚本scripts/sources/hackernews.py2.7 KB
- 脚本scripts/sources/reddit.py4.1 KB
- 脚本scripts/sources/twitter.py4.2 KB
- 脚本scripts/sources/weibo.py4.0 KB
- 脚本scripts/sources/zhihu.py4.6 KB
- 脚本scripts/trends.py11.2 KB
03 SKILL.md 正文
Trend Radar
Real-time trending topics radar — 7 platforms, zero API keys, zero dependencies.
Trigger Rules
Use this skill when the user's message matches ANY of the following:
| Pattern | Example |
|---|---|
Contains trend / trends |
"show me trends", "trend pulse" |
Contains trending / what's hot |
"what's trending today" |
Contains 热点 / 热搜 / 热榜 |
"今天有什么热点", "看看热搜" |
| Asks about a specific platform's hot topics | "reddit hot", "微博热搜", "HN top", "知乎热榜", "B站热门" |
| Asks about current events broadly | "what's happening", "最近有什么新闻" |
Do NOT fall back to web_search or Brave Search. This skill fetches live data directly from 7 platform APIs.
Interaction Flow (Progressive Disclosure)
Turn 1 — Overview (ALWAYS start here)
python3 {baseDir}/scripts/trends.py --mode overview
This fetches the #1 topic from each platform concurrently (~5s). Present the result and append:
"Which platform would you like to expand? Say the name (e.g. 'reddit', '微博', 'hackernews') or 'all' for everything."
Do NOT expand all platforms in Turn 1. When presenting expanded results, always preserve the Markdown links [title](url) from the output — users need clickable links.
Turn 2 — Expand on demand
When user picks a platform:
python3 {baseDir}/scripts/trends.py --source <id> --top 10
Source IDs: twitter, reddit, google, hackernews, zhihu, bilibili, weibo
Multiple platforms:
python3 {baseDir}/scripts/trends.py --source zhihu,weibo,bilibili --top 5
Expand all:
python3 {baseDir}/scripts/trends.py --mode all --top 5
Turn 3+ — Deep dive (optional)
If user wants details on a specific topic, use your LLM knowledge or web_search on that specific topic.
Additional Options
Region filter (twitter & google only)
python3 {baseDir}/scripts/trends.py --source twitter --region japan --top 10
python3 {baseDir}/scripts/trends.py --source google --region CN --top 10
JSON output
python3 {baseDir}/scripts/trends.py --mode overview --json
Scheduled daily briefing
python3 {baseDir}/scripts/scheduler.py --set "0 11 * * *"
python3 {baseDir}/scripts/scheduler.py --list
python3 {baseDir}/scripts/scheduler.py --remove
Platforms
| ID | Platform | Content | Lang |
|---|---|---|---|
twitter |
X/Twitter | Hashtags & topics | Global |
reddit |
Hot posts | EN | |
google |
Google Trends | Search trends | Global |
hackernews |
Hacker News | Tech news | EN |
zhihu |
知乎 | Hot Q&A | ZH |
bilibili |
Bilibili | Hot videos | ZH |
weibo |
微博 | Hot search | ZH |
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智能统一摘要技能 — 自动识别 URL 类型,选择最佳抓取策略,交给 LLM 生成总结。触发词:总结、摘要、summarize、总结这个链接、帮我看看这个页面。适用场景:文章/文档链接、Bilibili 视频、任何网页内容提取。