Choxos Biostatagent
choxos-BiostatAgent is a Claude Code plugin for the Validate phase that provides a broad R biostatistics agent ecosystem with 30 agents, 17 commands, and 45 methodology skills.
by choxos · github.com/choxos/BiostatAgent
Run an R-centric biostatistics agent stack covering trial design, Bayesian methods, ITC, tidy modeling, and reproducible reporting from one Claude Code plugin family.
Add it to Claude Code
Install the plugin in Claude Code. One command, paste-ready.
/plugin install choxos-biostatagent@choxos/BiostatAgentBuilt to be called by your agent
Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.
Retrieve this entry with skillselion.get_details("plugin:choxos/BiostatAgent") and the paste-ready config with skillselion.get_install_config("plugin:choxos/BiostatAgent").
What it does
choxos-BiostatAgent is a large Claude Code plugin ecosystem for solo 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.
Highlights
- 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
Why builders use it
Clinical and biostat projects fragment across dozens of R packages, design choices, and reporting standards, leaving solo builders without a coherent agent-driven workflow.
You orchestrate trial design, analysis, indirect comparisons, and reproducible Quarto outputs through named agents and commands instead of ad hoc one-off prompts.
At a glance
- Type - Plugin in Productivity.
- Adoption - 0 installs, 4 stars, 0 votes.
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.
Comments
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