r-bayes
r-bayes is a Statistical modelling skill for AI agents, published by ab604 in the claude-code-r-skills repository on GitHub. Skillspace rates r-bayes D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Patterns for Bayesian inference in R using brms, including multilevel models, DAG validation, and marginal effects. Use when performing Bayesian analysis.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 181
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 5 other repositories, in 2 collections
- Scope
- Vendor-specific: built around one product. Bayesian patterns for the R brms/Stan packages
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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