baidu-scholar-search

What This Skill Does

The Baidu Scholar Search skill provides OpenClaw users with direct access to one of the most comprehensive academic databases available. By leveraging the Baidu Academic Search API, this tool allows you to perform sophisticated queries across both Chinese and English literature. Whether you are conducting a deep literature review, searching for specific conference papers, or exploring dissertations in a particular field, this skill automates the retrieval process. It returns structured metadata including titles, paper IDs, keywords, and optional abstracts, enabling seamless integration with other AI processing tasks. The tool is designed to parse complex academic information, making it an essential utility for researchers, students, and developers who need to ground their AI outputs in peer-reviewed or published knowledge.

Installation

To install this skill, use the ClawKit CLI by running the following command in your terminal:

clawhub install openclaw/skills/skills/baiduqianfangroup/baidu-scholar-search

Ensure that you have set the BAIDU_API_KEY environment variable in your system configuration. This key is mandatory for authentication with the Qianfan platform. Without a valid key, the skill will be unable to establish a secure connection to the search endpoint.

Use Cases

1. Literature Reviews: Quickly compile a list of top-cited papers for a research topic.
2. Academic Research: Automate the discovery of new conference papers or journals in specialized fields.
3. Knowledge Synthesis: Use the abstract retrieval feature to summarize key findings from various papers without manual reading.

Example Prompts

1. "Search for the latest research papers on machine learning published in 2023."
2. "Find academic journals related to climate change in China and provide me with the abstracts."
3. "Look for recent conference papers about natural language processing and summarize the key findings."

Tips & Limitations

• Precision: Use specific keywords to improve the quality of results. Generic terms may lead to overwhelming result sets.
• Pagination: Use the pageNum parameter to iterate through large result sets if your initial query returns many items.
• Performance: Enabling the enable_abstract parameter can increase response time, as the API needs to fetch and transmit more data per record.
• Connectivity: This skill requires active internet access to reach the Qianfan API servers. Ensure your firewall or proxy allows requests to qianfan.baidubce.com.