Choxos Bayesianagent
choxos-BayesianAgent is a Claude Code plugin for the Validate phase that helps create and review Bayesian model specifications for Stan, PyMC, JAGS, and WinBUGS.
by choxos · github.com/choxos/BayesianAgent
Generate and peer-review Bayesian model files across Stan, PyMC, JAGS, and WinBUGS without switching mental models between ecosystems.
Add it to Claude Code
Install the plugin in Claude Code. One command, paste-ready.
/plugin install choxos-bayesianagent@choxos/BayesianAgentBuilt 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/BayesianAgent") and the paste-ready config with skillselion.get_install_config("plugin:choxos/BayesianAgent").
What it does
choxos-BayesianAgent is a Claude Code plugin aimed at researchers and indie data builders who work in more than one Bayesian stack. Instead of asking a generic coding agent for PyMC one day and Stan the next with inconsistent priors and parameterization, you get an ecosystem tuned to creating and reviewing model specification files across cmdstanr, PyMC, R2jags, and R2WinBUGS. That maps cleanly to Validate when you are scoping an analysis—locking likelihoods, priors, and identifiability before expensive sampling—and spills into Idea research when you compare frameworks and into Build when you materialize scripts. It is advanced relative to beginner stats tooling: you should already understand MCMC, convergence, and when JAGS versus Stan matters. The plugin is not a hosted inference service; it is agent assistance for specification quality. Quantitative catalog metadata lists one plugin in the bundle; depth comes from the described create-and-review agent roles rather than a long skills.sh install leaderboard.
Highlights
- Agent ecosystem focused on create and review loops for Bayesian model specification
- Supports Stan via cmdstanr, PyMC in Python, JAGS via R2jags, and WinBUGS via R2WinBUGS
- Covers regression, hierarchical, survival, time-series, and meta-analysis style workflows
- Emphasizes probabilistic programming and MCMC-ready model code before sampling
- Pairs specification authoring with validation-oriented review for multi-backend projects
Why builders use it
Switching between Stan, PyMC, JAGS, and WinBUGS leads to inconsistent model specs and costly MCMC mistakes that solo analysts catch only after long runs.
You leave each session with reviewed, backend-appropriate model specification files and clearer validation notes before committing to sampling and reporting.
At a glance
- Type - Plugin in Development Tools.
- Adoption - 0 installs, 0 stars, 0 votes.
FAQ
Who is choxos-BayesianAgent for?
It is for analysts and developers who write Bayesian models in Stan, PyMC, JAGS, or WinBUGS and want Claude-assisted creation and review of those specification files.
When should I use choxos-BayesianAgent?
Use it when scoping or validating a study design—before long MCMC runs—to draft models and catch specification issues across your chosen probabilistic programming backend.
How do I add choxos-BayesianAgent to my agent?
Install the plugin from the choxos/BayesianAgent repository in Claude Code and invoke its agents when you need model creation or review workflows for your target stack.
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