bgpt-paper-search

Name: bgpt-paper-search
Availability: InStock
Author: wsxwj123

Retrieve structured experimental data from full-text papers via a BGPT MCP server.

7|Updated Jan 27, 2026

Search Tags:#literature #structured-data #evidence-synthesis #research-data #bgpt

Ready to run

npx skills add https://github.com/wsxwj123/opencode-skills-backup --skill bgpt-paper-search-wsxwj123

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bgpt-paper-search
Source: https://github.com/wsxwj123/opencode-skills-backup/tree/main/bgpt-paper-search
Command: npx skills add https://github.com/wsxwj123/opencode-skills-backup --skill bgpt-paper-search-wsxwj123

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

BGPT Paper Search enables researchers to access structured data extracted from full-text papers rather than only titles and abstracts. It addresses the difficulty of obtaining detailed methods, results, sample sizes, and quality assessments needed for reviews and meta-analyses.

Core Features & Use Cases

Structured Data Returns: Retrieve 25+ fields per paper, including methods, results, sample sizes, quality scores, and conclusions.
Deep Literature Mining: Supports literature reviews, evidence synthesis, and meta-analyses requiring granular study data.
Use Case: Build evidence tables across studies to compare methodologies and outcomes for a targeted research question.

Quick Start

Ask BGPT to search for papers on a topic of interest and return a structured dataset with methods, results, and study quality.

Frequently Asked Questions about bgpt-paper-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract structured data from full-text scientific papers?▼

To extract structured data from full-text scientific papers, you can use a tool to retrieve over 25 fields per study, including methods, sample sizes, results, and quality scores. This process supports literature reviews and evidence synthesis by providing granular experimental data.

Can I get sample sizes and quality scores for evidence synthesis?▼

Yes, you can get sample sizes and quality scores for evidence synthesis. The extraction process returns 25+ structured fields per paper, directly supporting meta-analyses and evidence tables by capturing detailed methodologies, outcomes, and quality assessments from full texts.

What is the best way to build evidence tables from full-text literature?▼

The best way to build evidence tables from full-text literature is by retrieving structured experimental datasets. By extracting methods, results, and sample sizes directly from full-text papers, you can effectively compare methodologies and outcomes across multiple studies for a targeted research question.

Does this structured literature extraction work for meta-analyses?▼

Yes, this structured literature extraction works for meta-analyses. It supports domains requiring detailed study data by returning 25+ fields per paper, including methods, results, and quality scores, enabling comprehensive evidence synthesis across full-text scientific papers.

How do I retrieve methods and results from full-text papers for research?▼

To retrieve methods and results from full-text papers for research, use a structured extraction tool to access deep literature data. This approach returns detailed experimental data and quality scores, overcoming the limitations of only accessing titles and abstracts for reviews.

What are the limitations of using structured paper search for reviews?▼

Limitations of using structured paper search for reviews include relying on a remote server for processing full-text inputs. While it successfully extracts 25+ fields for evidence synthesis, users must consider server availability and connectivity when retrieving detailed study data.