A high-performance web search skill that integrates DashScope Qwen to provide real-time information, citations, and multi-modal results for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dashscope-web-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 dashscope-web-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 Web Search?
This skill empowers AI agents to overcome training data limitations by accessing the live internet in real-time. Powered by the DashScope Qwen API, it allows for everything from quick factual lookups to deep, multi-round research agents. The integration supports sophisticated reasoning and visual context, making it an essential addition to any Openclaw Skills collection. By utilizing a Python-based command-line interface, it bridges the gap between static model knowledge and the ever-changing digital landscape, providing developers with a robust tool for data-driven agent workflows.
Web Search Use Cases
- Retrieving real-time news, weather updates, or stock market fluctuations.
- Conducting deep research and fact-checking using multi-source verification strategies.
- Performing domain-specific searches across restricted sites like GitHub or technical documentation portals.
- Generating visual references and product images for multimodal user queries.
- Executing complex, iterative search tasks that require synthesis from multiple rounds of retrieval.
How Web Search Works
- The AI agent identifies a need for external information based on specific user triggers or factual gaps.
- The agent executes the web search Python script using specific flags such as --deep or --fresh based on the required depth.
- The script interfaces with the DashScope Qwen API to perform the requested search strategy and retrieve live data.
- The API returns synthesized information along with source citations and, optionally, a reasoning chain.
- The agent parses the markdown results, preserving citations and images to provide a verified, up-to-date response to the user.
Web Search Setup
To integrate this search capability into your Openclaw Skills environment, ensure you have the necessary environment variables and dependencies configured.
# Ensure Python 3 is installed
python3 --version
# Install the required OpenAI Python library
pip install openai
# Export your DashScope API Key to the environment
export DASHSCOPE_API_KEY="your_api_key_here"
# Run a test query to verify the setup
python3 scripts/web_search.py "Openclaw Skills latest updates"
Web Search Data Schema & Taxonomy
The skill produces structured markdown output designed for easy parsing by LLMs and clear presentation to users.
| Data Component | Description | Format |
|---|---|---|
| Citations | Numerical markers linking facts to their origin | [1], [2], etc. |
| Reasoning Chain | Internal logic generated via the --think flag | <thinking>...</thinking> |
| Visual Content | Markdown-compatible image links and descriptions |  |
| Source Index | A comprehensive list of reference URLs | Markdown list at footer |
Web Search Advanced Features
- Multi-strategy selection including Deep Research and Agent-based synthesis for handling complex, multi-faceted queries.
- Integrated reasoning chains using the --think flag for transparent, step-by-step AI decision-making.
- Multimodal support for retrieving and rendering images directly within the search results.
- Granular time-sensitive filtering to restrict results to the last 7, 30, 180, or 365 days.
- Domain restriction capabilities to focus research on specific high-authority websites or internal documentation.
SKILL.md
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