literature-review

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Run a systematic biomedical literature review using the BioTeam-AI W1 pipeline. Searches PubMed and bioRxiv, screens and extracts data from papers, synthesizes findings with anti-hallucination grounding, validates citations against retrieved sources, and scores evidence via the RCMXT framework. Supports MCP healthcare connectors for enhanced data access.

jang1563 By jang1563 schedule Updated 2/27/2026

name: literature-review description: > Run a systematic biomedical literature review using the BioTeam-AI W1 pipeline. Searches PubMed and bioRxiv, screens and extracts data from papers, synthesizes findings with anti-hallucination grounding, validates citations against retrieved sources, and scores evidence via the RCMXT framework. Supports MCP healthcare connectors for enhanced data access. metadata: author: bioteam-ai version: "1.0" domain: biomedical-research allowed-tools: Bash(python:*) Read

Literature Review Skill

When to Activate

  • User asks to "review literature" or "find papers" on a biomedical topic
  • User asks about evidence for/against a hypothesis
  • User wants to identify research gaps, contradictions, or novel findings

Prerequisites

  • Python 3.11+ with the BioTeam-AI backend installed
  • ANTHROPIC_API_KEY and NCBI_EMAIL environment variables set
  • Optional: NCBI_API_KEY for higher PubMed rate limits

Usage

cd backend && uv run python -m app.skills.w1_cli --query "your research question" --budget 5.0

Pipeline Steps (13 total)

  1. SCOPE — Research Director defines search scope and strategy
  2. SEARCH — Knowledge Manager searches PubMed + Semantic Scholar (or MCP connectors)
  3. SCREEN — T02 Transcriptomics screens papers for relevance
  4. EXTRACT — T02 extracts structured data from included papers
  5. NEGATIVE_CHECK — Lab KB search for relevant negative results
  6. SYNTHESIZE — Research Director synthesizes findings (with anti-hallucination grounding)
  7. CONTRADICTION_CHECK — Ambiguity Engine detects contradictions
  8. CITATION_CHECK — Validates all citations against retrieved sources
  9. RCMXT_SCORE — Scores evidence claims (heuristic/LLM/hybrid)
  10. INTEGRITY_CHECK — Data integrity audit (gene names, retractions, stats)
  11. NOVELTY_CHECK — Knowledge Manager assesses novelty vs existing knowledge
  12. REPORT — Final output assembly with session manifest

Output Format

  • JSON report with: executive summary, evidence table, contradiction matrix
  • PRISMA flow data (identified → screened → included)
  • RCMXT scores per claim (0.0-1.0)
  • Citation validation report (verified/unverified counts)
  • Session manifest with cost, model versions, step durations

Anti-Hallucination Guarantees

  • SYNTHESIZE receives explicit paper list — only listed papers may be cited
  • Citation validator cross-checks all citations against SEARCH results
  • Unverified citations are flagged with warnings
  • Empty-context queries labeled as "general knowledge"
Install via CLI
npx skills add https://github.com/jang1563/bioteam-ai --skill literature-review
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