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life-science-research Codex Plugin

Author
OpenAI
Category
Education & Research
Topics
Web Search, Research & Learning · AI Agents & AI App Development
Version
1.0.3
First seen
2026-07-12
Last confirmed
2026-07-13
Explanation last updated
2026-07-12

The explanation below is AI-generated. Please verify it against the sources.

This item is a Codex plugin called "Life Science Research" that acts as a general life-sciences research layer, bundling 50 modular skills across human genetics, functional genomics, expression, pathway biology, protein structure, chemistry, clinical evidence, and public dataset discovery. According to the README, its default entry point is research-router-skill, which classifies the user's research question, normalizes entities such as genes, variants, compounds, and diseases, selects the minimum useful set of downstream skills, optionally parallelizes independent evidence lanes with Codex subagents, and produces a concise, evidence-backed synthesis with caveats. Per plugin.json, the current version is 1.0.3, authored by OpenAI, and licensed as Proprietary. The README states the plugin requires no plugin-local app connectors or MCP servers, since each bundled skill calls its own scripts or public APIs directly.

Overview

According to plugin.json and the README, life-science-research is not a standalone SaaS but a Codex plugin that functions as a routing and evidence-synthesis layer over public life-sciences resources and APIs — for example OpenTargets, GWAS Catalog, ClinVar, gnomAD, Ensembl, UniProt, ChEMBL, and ClinicalTrials.gov — rather than a hosted service in its own right.

What you can do with life-science-research

  • Route broad or ambiguous life-sciences research questions through research-router-skill
  • Look up gene or target background, variant interpretation, and locus-to-gene prioritization
  • Explore expression, tissue/cell-type context, and pathway or network biology
  • Retrieve protein structure, chemistry, ligand, and pharmacology evidence
  • Review clinical-trial, translational, and cancer evidence
  • Discover literature, preprints, and public datasets
  • Use optional parallel Codex subagents for independent evidence lanes before final synthesis

Sources

Original description (English)

General life-sciences research workflows with query routing, evidence synthesis, and optional parallel subagent analysis across genetics, omics, biology, chemistry, structure, clinical evidence, and public dataset discovery.

History of life-science-research

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