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Scientific Paper Research

Scientific Paper Research is an agent for Claude Code from archubbuck/workspace-architect. It costs 26 tokens per session (466 once invoked), scanned A, a copy of Scientific Paper Research, ISC.

A research assistant for finding scientific papers and extracting structured evidence from full-text studies. It uses BGPT, a service for searching and analyzing biomedical, clinical, and life-science research.

In plain words
What is it for?
Use it to search literature, extract experimental data, compare findings, and support health or biotechnology decisions with published evidence.
Why use it?
It reduces the time needed to find relevant studies and compare their methods, results, sample sizes, and limitations.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

not rated 19repo 2d ago A scan 26 tokens copy · 100% ISC

Good fit Use it to search literature, extract experimental data, compare findings, and support health or biotechnology decisions with published evidence.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/archubbuck/workspace-architect/scientific-paper-research
View source ↗ archubbuck/workspace-architect
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/archubbuck/workspace-architect

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for Scientific Paper Research

README.md
[![agentmods](https://agentmods.dev/badge/agents/archubbuck/workspace-architect/scientific-paper-research/github.svg)](https://agentmods.dev/agents/archubbuck/workspace-architect/scientific-paper-research)
Your own site
<a href="https://agentmods.dev/agents/archubbuck/workspace-architect/scientific-paper-research"><img src="https://agentmods.dev/badge/agents/archubbuck/workspace-architect/scientific-paper-research/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Scientific Paper Research

Your own site · 80×15
<a href="https://agentmods.dev/agents/archubbuck/workspace-architect/scientific-paper-research"><img src="https://agentmods.dev/badge/agents/archubbuck/workspace-architect/scientific-paper-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 466 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.00466
Opus 5.5 $0.00010 $0.00186
Sonnet 5.5 $0.00005 $0.00093
Haiku 4.5 $0.00003 $0.00047

Measured 2mo ago against content hash 3382da1d6faa, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Scientific Paper Research scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to Scientific Paper Research — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

assets/agents/scientific-paper-research.agent.md · 50 lines

What it actually says

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.

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
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 50 lines · 26 tokens per session scan A 3382da1d6faa

Subscribe to this mod's changes

Scientific Paper Research is an agent published in the GitHub repository archubbuck/workspace-architect (19 stars, last pushed 2d ago), licensed ISC. It adds 26 tokens to every session and 466 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to Scientific Paper Research, differing in 0 lines, and is treated as a copy.

ResearchScientificagentic-workflowai-agentsai-assistantai-personasautomationgithub-copilot
Related

Scientific Paper Research compared with agents from other repositories

Scientific Paper Research next to 6 agents from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
Scientific Paper Researcharchubbuck/workspace-architectAgent192d agoISCA26Claude Code
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field_analyst_agentfabioc-aloha/Alex_Skill_MallAgent5yesterdayMITA21Claude Code
domain_reviewer_agentfabioc-aloha/Alex_Skill_MallAgent5yesterdayMITA22Claude Code
playwright-test-generatormicrosoft/playwrightAgent99kyesterdayApache-2.0A151Claude Code
.NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginnersAgent79k4d agoMITA33Claude Code
code-revieweranthropics/claude-cookbooksAgent54k2d agoMITA52Claude Code