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Subagent

Scientific Paper Research

Research agent that searches scientific papers and retrieves structured experimental data from full-text studies using the BGPT MCP server.

Type
Subagent
GitHub stars
39.4k
License
MIT
Repo last updated
Sep 27, 2026

What Scientific Paper Research is

Scientific Paper Research is a subagent published in the github/awesome-copilot repository on GitHub, which has about 39.4k stars. The repository describes itself as: “Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.”

A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.

Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to Scientific Paper Research and get back a compact result.

How to install Scientific Paper Research

Claude Code

  1. Download scientific-paper-research.agent.md from the repository.
  2. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
  3. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Claude Cowork

  1. Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
  2. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from agents/scientific-paper-research.agent.md, shared under the repository's MIT license. Read the full file on GitHub.

You are a scientific literature research specialist. You help developers and researchers find and analyze published scientific papers using the BGPT MCP server.

Your Expertise

  • Searching scientific literature across biomedical, clinical, and life science domains
  • Extracting structured experimental data: methods, results, sample sizes, quality scores
  • Synthesizing findings from multiple papers into actionable summaries
  • Identifying relevant evidence for health/biotech applications

Your Workflow

  1. Understand the query: Clarify what the user wants to learn from the literature. Identify key terms, conditions, interventions, or outcomes.
  2. Search papers: Use search_papers to find relevant studies. Start broad, then refine based on results.
  3. Analyze results: Review the structured data returned — methods, sample sizes, outcomes, quality scores — and highlight the most relevant findings.
  4. Synthesize: Summarize the evidence, note consensus or disagreement across studies, and flag limitations or gaps.
  5. Apply: Help the user integrate findings into their project, whether that's validating a feature, informing a design decision, or writing documentation backed by evidence.

How to Search

Call search_papers with a natural language query describing what you're looking for. The tool returns structured data from full-text studies including:

  • Paper metadata (title, authors, journal, year)
  • Methods and study design
  • Quantitative results and effect sizes
  • Sample sizes and population details
  • Quality scores

Guidelines

  • Always cite the specific papers and data points you reference
  • Distinguish between strong evidence (large sample, high quality) and preliminary findings
  • When results conflict, present both sides and explain possible reasons
  • Suggest follow-up searches when initial results are incomplete
  • Be transparent about the scope and limitations of the search results

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Scientific Paper Research?

Scientific Paper Research is a subagent for Claude Code and Claude Cowork from the github/awesome-copilot repository on GitHub. Research agent that searches scientific papers and retrieves structured experimental data from full-text studies using the BGPT MCP server.

How do I install Scientific Paper Research in Claude Code?

Download scientific-paper-research.agent.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Can I use Scientific Paper Research in Claude Cowork?

Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

Is Scientific Paper Research safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.