About
Internal life-science research workflows that help Codex interpret a user's research question, normalize the relevant entities, choose the right skills, and synthesize evidence-backed answers across public resources. The plugin spans human genetics, functional genomics, expression, pathways, protein structure, chemistry, pharmacology, literature, clinical evidence, and public study discovery, with a research-router entrypoint for broad tasks and optional subagent-assisted parallel work when evidence lanes are independent.
Tags
life-scienceresearchbioinformaticshuman-geneticsfunctional-genomicstranscriptomicsproteomicsmetabolomicsclinical-researchdrug-discoveryskill-routingevidence-synthesisparallel-analysisgwasvariant-interpretationpathway-biologyprotein-structureinteractivereadwrite
plugin.json
{
"name": "life-science-research",
"author": {
"name": "OpenAI"
},
"skills": "./skills/",
"license": "Proprietary",
"version": "1.0.1",
"homepage": "https://github.com/openai/openai/tree/master/plugins/life-science-research",
"keywords": [
"life-science",
"research",
"bioinformatics",
"human-genetics",
"functional-genomics",
"transcriptomics",
"proteomics",
"metabolomics",
"clinical-research",
"drug-discovery",
"skill-routing",
"evidence-synthesis",
"parallel-analysis",
"gwas",
"variant-interpretation",
"pathway-biology",
"protein-structure"
],
"interface": {
"logo": "./assets/app-icon.png",
"category": "Research",
"brandColor": "#166534",
"websiteURL": "https://openai.com/",
"displayName": "Life Science Research",
"screenshots": [],
"capabilities": [
"Interactive",
"Read",
"Write"
],
"composerIcon": "./assets/app-icon.png",
"defaultPrompt": [
"Use relevant skills and databases to support life-science research tasks."
],
"developerName": "OpenAI",
"longDescription": "Internal life-science research workflows that help Codex interpret a user's research question, normalize the relevant entities, choose the right skills, and synthesize evidence-backed answers across public resources. The plugin spans human genetics, functional genomics, expression, pathways, protein structure, chemistry, pharmacology, literature, clinical evidence, and public study discovery, with a research-router entrypoint for broad tasks and optional subagent-assisted parallel work when evidence lanes are independent.",
"privacyPolicyURL": "https://openai.com/policies/row-privacy-policy/",
"shortDescription": "General life-sciences research with routing, evidence synthesis, and optional parallel subagent analysis",
"termsOfServiceURL": "https://openai.com/policies/row-terms-of-use/"
},
"repository": "https://github.com/openai/openai/tree/master/plugins/life-science-research",
"description": "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."
}Stats
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Details
SourceOpenAI
Versionv1.0.1
AuthorOpenAI
CategoryResearch
AddedJun 6, 2026
UpdatedJun 6, 2026
Author
Yash @ Explainx