A sophisticated news aggregation skill that extracts, clusters, and delivers high-heat trending topics from six major digital platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install realtime-hot
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install realtime-hot using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Realtime Hot News Aggregator?
The Realtime Hot news aggregator is an automated intelligence tool designed to cut through the noise of modern media. By leveraging specialized Openclaw Skills, it fetches real-time data from Weibo, Douyin, Toutiao, Baidu, Zhihu, and Tencent. It ensures you only see what truly matters by applying cross-platform consensus logic, filtering out advertisements and political noise to provide a high-signal briefing of the day's most impactful events.
This tool is built for users who need to stay informed without manual scrolling. It prioritizes data integrity by using local execution scripts for processing, ensuring that the summaries provided are based on algorithmic clustering rather than generative hallucination.
Realtime Hot News Aggregator Use Cases
- Market Research: Monitor viral trends across multiple social ecosystems simultaneously.
- Content Creation: Identify high-engagement topics for rapid response editorial planning.
- PR & Brand Monitoring: Track the spread of news stories to manage brand reputation effectively.
- Automated Intelligence: Integrate multi-platform news briefings into corporate communication channels like Feishu.
How Realtime Hot News Aggregator Works
- Data Extraction: The skill executes a Node.js script to scrape the top 50 trending items from six major platforms, storing them in a structured JSON file.
- Algorithmic Clustering: It utilizes Jaccard similarity (2-gram, 0.10 threshold) to group similar stories from different platforms, identifying genuine consensus trends.
- Intelligent Filtering: Automated logic removes promotional content, platform-specific ads, and specific political keywords to maintain professional relevance.
- Headline Optimization: The system selects the most descriptive and concise titles, favoring non-microblog sources for better context.
- Automated Delivery: The final Markdown summary is dispatched via messaging tools to integrated channels such as Feishu.
Realtime Hot News Aggregator Setup
To deploy this component of your Openclaw Skills library, ensure you have Node.js installed and follow these steps:
# Install dependencies (if applicable)
npm install
# Run the data scraper
node ./scripts/index.js
# Process and cluster the trending data
node ./scripts/format.js
Realtime Hot News Aggregator Data Schema & Taxonomy
The skill manages data through a localized pipeline to ensure speed and privacy:
| File | Description | Format |
|---|---|---|
hot-data.json |
Raw scraped data containing top 50 entries per platform. | JSON |
stdout |
The final processed and filtered news brief. | Markdown |
scripts/index.js |
Core scraping logic for the six supported platforms. | JavaScript |
scripts/format.js |
Clustering and filtering engine. | JavaScript |
Realtime Hot News Aggregator Advanced Features
- Cross-Platform Consensus: Identifies trends only if they appear across multiple ecosystems, reducing platform-specific bias.
- Jaccard Similarity Engine: Uses advanced string comparison to group related news items even with differing headlines.
- Multi-Channel Integration: Seamlessly pushes formatted briefs to enterprise tools like Feishu via the action=send protocol.
- Strict Execution Policy: Operates exclusively through local execution and read commands, bypassing the need for heavy browser-based automation.
SKILL.md
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