Choxos Biostatagent
- 8 repo stars
- Updated May 28, 2026
- choxos/BiostatAgent
choxos-BiostatAgent is a Claude Code plugin that provides a broad R biostatistics agent ecosystem with 30 agents, 17 commands, and 45 methodology skills.
About
choxos-BiostatAgent is a large Claude Code plugin ecosystem for biostatisticians, contract analysts, and small CRO-style teams who live in R but face sprawling method menus—Bayesian hierarchies, indirect comparisons, group-sequential trials, tidy modeling, and Quarto deliverables. The catalog cites 30 specialized agents, 17 workflow commands, and 45 methodology skills, which pushes journeyScope toward journey-wide: you can enter at Validate for power and design, continue through Build for reproducible pipelines, and finish at Ship review before external submission. It is not a lightweight snippet pack; expect advanced fluency in clinical stats, dplyr or tidymodels patterns, and when to invoke which agent. Compared to the narrower BayesianAgent plugin, BiostatAgent is the full operating system for trial-oriented and health-evidence work. Install when your bottleneck is coordinating many statistical workflows under one agent harness rather than wiring a single MCP tool.
- Catalog describes 30 specialized agents for biostatistics and clinical methods
- 17 workflow commands orchestrate multi-step R analysis and reporting paths
- 45 methodology skills covering Bayesian modeling, ITC, tidy R, and trial simulation
- Spans cmdstanr, PyMC, JAGS, tidymodels, quarto, renv, and targets-style reproducibility
- Supports network meta-analysis, survival, genomics-flavored workflows, and HTA-oriented evidence synthesis
Choxos Biostatagent by the numbers
- Data as of Jul 20, 2026 (Skillselion catalog sync)
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| repo stars | ★ 8 |
|---|---|
| Last updated | May 28, 2026 |
| Repository | choxos/BiostatAgent ↗ |
What it does
Run an R-centric biostatistics agent stack covering trial design, Bayesian methods, ITC, tidy modeling, and reproducible reporting from one Claude Code plugin family.
Who is it for?
Independent biostatisticians and small teams running clinical trials, evidence synthesis, or HTA-style analyses who want agent coverage across the R tidyverse and Bayesian stacks.
Skip if: General web app developers or beginners who only need a single logistic regression script without clinical methodology guardrails.
What you get
You orchestrate trial design, analysis, indirect comparisons, and reproducible Quarto outputs through named agents and commands instead of ad hoc one-off prompts.
- Scoped trial or evidence-synthesis analysis plans via workflow commands
- Reproducible R analysis and Quarto-oriented reporting paths
- Methodology review outputs across Bayesian, ITC, and survival workflows
By the numbers
- Plugin count: 4
- 30 specialized agents (per catalog description)
- 17 workflow commands (per catalog description)
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Full biostatistics agent operating system with 30 agents and 45 skills, not a four-server MCP bundle or single-purpose Bayesian spec plugin.
FAQ
Who is choxos-BiostatAgent for?
It is for R-focused biostatisticians and evidence synthesis practitioners who need many specialized agents for trials, Bayesian methods, ITC, and reproducible reporting in Claude Code.
When should I use choxos-BiostatAgent?
Use it when scoping or executing clinical or observational studies—sample size, simulations, modeling, and review—especially when workflows span multiple statistical methodologies.
How do I add choxos-BiostatAgent to my agent?
Install the plugin bundle from choxos/BiostatAgent in Claude Code and invoke the listed workflow commands and agents matching your study phase and methodology.