Core Researcher

What This Skill Does

The Core Researcher skill, developed by bivex, transforms the OpenClaw AI agent into a sophisticated academic research assistant. It provides a direct, programmatic bridge to the CORE API (v3), enabling the agent to perform large-scale literature searches, retrieve metadata for academic publications, and conduct structured paper analysis. This skill is designed for scholars, students, and professionals who need to synthesize vast amounts of academic information efficiently. By automating the retrieval of abstracts, author information, and publication details, it reduces manual research time significantly.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/bivex/core-researcher Ensure you have a valid CORE API key set up as an environment variable named CORE_API_KEY before attempting to initiate research tasks, as the agent requires this for all API interactions.

Use Cases

• Literature Reviews: Rapidly identify and aggregate seminal papers on specific research topics by leveraging filtered API queries.
• Methodological Audits: Use the Paper Analysis Framework to systematically break down the validity and rigor of research designs found in peer-reviewed works.
• Research Proposal Development: Scan existing literature to identify research gaps, ensuring that proposed study concepts are novel and contribute meaningfully to the current body of knowledge.
• Bibliographic Management: Automate the collection of citation data, including DOIs and metadata, to maintain consistent formatting across academic documents.

Example Prompts

1. "Find the top 5 most recent papers on 'Large Language Model bias in clinical settings' and summarize their core research questions."
2. "Search for papers by author 'Jane Doe' published after 2020 and create a summary table of their methodologies and primary findings."
3. "Analyze the following CORE paper ID [ID_HERE] using the Research Question, Methodology, and Limitations framework."

Tips & Limitations

• API Governance: Always handle your CORE_API_KEY securely. Never hardcode it; use environment variables or encrypted secrets storage. The skill is optimized for structured data extraction; rely on the works and authors endpoints for the most accurate results.
• Accuracy: While the agent excels at synthesis, always verify primary data against the original publication. The quality of output is dependent on the metadata provided by the CORE repository. Ensure you utilize the limit and offset parameters to navigate larger result sets effectively.