A robust automated hotspot fetching system that synchronizes trending news to Telegram, Feishu, and DingTalk with keyword filtering and scheduling.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fastfish-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 fastfish-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 fastfish-hot?
fastfish-hot is a specialized technical project designed for developers who need to integrate trending news and hotspot data into their automation workflows. By leveraging Openclaw Skills, this tool fetches real-time data from platforms like Zhihu, Baidu, and Toutiao, providing a structured way to monitor public sentiment and viral topics. It is built to run independently of MCP, utilizing standard system execution for maximum compatibility and reliability.
The project emphasizes security and flexibility, allowing users to configure specific push windows, filter content based on categories like emotion or technology, and manage notifications via several IM webhooks. Whether used for social media monitoring or internal team updates, it transforms raw trending data into actionable notifications.
fastfish-hot Use Cases
- Automatically sending daily trending news briefs to corporate Feishu or DingTalk groups.
- Monitoring specific hotspots like Zhihu hot searches for brand management or research.
- Setting up a personal Telegram bot to push real-time alerts for specific keyword-matched topics.
- Creating a centralized database of historical trending items for data analysis and reporting.
How fastfish-hot Works
- The system fetches the latest hotspot data from api.pearktrue.cn via the fetch_hot_items script.
- Retrieved data is processed and stored in a local database to ensure persistence and faster query performance for subsequent requests.
- Based on user-defined configurations, the system filters the data according to specified source platforms and keyword exclusions.
- When a scheduled trigger occurs within Openclaw Skills, the push_hot_to_im script formats the trending items and sends them to the configured IM webhooks.
fastfish-hot Setup
To get started with this skill, follow these installation steps:
git clone --branch v1.0.1 https://github.com/superxs777/fastfish-hot.git
cd fastfish-hot
pip install -r requirements.txt
cp .env.example .env
python scripts/init_db.py
python scripts/init_default_config.py
python scripts/init_default_push_config.py
After installation, ensure you populate the .env file with your specific webhook credentials for Feishu, DingTalk, or Telegram to enable the push functionality.
fastfish-hot Data Schema & Taxonomy
The project organizes its operational data and configuration as follows:
| Component | Type | Description |
|---|---|---|
| .env | Configuration | Stores sensitive API keys, webhook URLs, and secrets for IM channels. |
| hot_items_raw | Database Table | Caches the raw trending data fetched from external APIs. |
| hot_push_config | Configuration | Defines the active platforms, category codes, and notification schedules. |
| scripts/ | Directory | Contains the core Python logic for database initialization and push triggers. |
fastfish-hot Advanced Features
- Isolated session execution support via Openclaw Skills for enhanced security and reliability.
- Multi-platform synchronization allowing simultaneous pushes to different IM ecosystems.
- Management UI accessible via a local web server for intuitive configuration of hotspot sources.
- Custom push windows to prevent notifications during off-hours or non-essential times.
- Keyword-based filtering to eliminate noise and focus on high-value trending information.
SKILL.md
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