A professional media intelligence tool for AI agents to search, filter, and extract data from news platforms, social media, and industry archives.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install media-search
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 media-search 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 Media Search Tool?
The Media Search Tool is a robust extension for Openclaw Skills designed to provide AI agents with high-fidelity access to media big data. It allows for comprehensive searching across various data types including news, apps, Weibo, WeChat, and professional media outlets. This skill is particularly valuable for developers building agents that require real-time news monitoring, background research, or automated content curation.
By integrating this skill, your agent gains the ability to parse complex search queries, handle semantic keyword splitting, and interpret natural language time expressions. This ensures that the retrieved data is both relevant and timely, providing a solid foundation for data-driven insights and automated reporting workflows within the ecosystem of Openclaw Skills.
Media Search Tool Use Cases
- Automating news gathering and material sourcing for professional writing
- Conducting background checks and fact-checking historical events
- Monitoring specific media sources like People's Daily or industry-specific journals
- Data mining across social platforms for sentiment or trend analysis
How Media Search Tool Works
- The user or agent provides a JSON-formatted input containing keywords and optional filters like time range or data source.
- The system applies intelligent keyword splitting, including semantic segmentation for Chinese and English mixed text.
- Natural language time expressions (e.g., "last week", "yesterday") are converted into standardized ISO timestamps.
- The tool executes the search against a media big data API using secure credentials.
- Structured results are returned via console output or saved to a specified JSON file for further processing by the agent.
Media Search Tool Setup
To use this tool within your Openclaw Skills environment, ensure you have your API credentials configured:
# Configure environment variables
export NEWS_BIGDATA_API_KEY="your_api_key"
export NEWS_BIGDATA_API_SECRET="your_api_secret"
# Run a basic search
python3 search.py --json-input '{"keywords": "AI Policy", "limit": 10}'
Media Search Tool Data Schema & Taxonomy
The tool generates structured data that is easy for AI agents to consume. Results are organized as follows:
| Property | Description |
|---|---|
| total | Total number of search results found |
| fallback_to_web | Boolean indicating if the system used general web search as a fallback |
| items | An array of objects containing title, summary, source_name, data_type, and url |
Files are typically saved in the sources/ directory with a .json extension.
Media Search Tool Advanced Features
- Semantic Keyword Splitting: Automatically breaks down complex phrases into optimized search terms.
- Natural Language Time Resolution: Understands relative time terms like "recent," "last month," or "this year."
- Source-Specific Filtering: Target specific publishers or platforms such as WeChat or Weibo.
- Multi-Format Output: Supports console logging for immediate view and JSON file generation for persistent storage.
- Intelligent Stop-word Filtering: Removes noise from queries to improve search accuracy within Openclaw Skills.
SKILL.md
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