bgpt-paper-search

Editorial and source context

What this Skill does

Bgpt Paper Search is a source-indexed Agent Skill for data, research & analysis work. Based on the SKILL.md description, it focuses on search scientific papers and retrieve structured experimental data extracted from full-text studies via…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

What the author says

Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.

Compatibility and requirements

• Use an agent runtime that supports Agent Skills and the linked SKILL.md format.
• Confirm the source repository's tools, SDKs, and platform prerequisites for academic research work.

How to install or import it

• Open the linked GitHub SKILL.md and review its scope and setup instructions.
• Install or import the skill using the agent runtime's documented workflow.
• Run a small, non-sensitive test and verify the output before broader use.

Permissions and risks

• Review every command, file path, network request, dependency, and credential scope before enabling it.
• GitHub stars indicate popularity, not safety or correctness; validate the source and test with non-sensitive data.

Example workflows

• Ask an AI agent to apply Bgpt Paper Search to academic research work described in the source record.
• Have the agent state assumptions, required tools, and expected output before using this data, research & analysis skill.
• Compare the result with the linked GitHub SKILL.md and verify it against your project requirements.