A set of patterns for Bayesian analysis in R, a programming language for statistics, using brms. Bayesian analysis estimates uncertain conclusions by combining data with prior assumptions.

Use it for multilevel models, checking directed acyclic graphs, and calculating marginal effects in Bayesian analyses.

It helps structure complex statistical models and check whether their assumptions and results make sense.

How maxwell2732/codex-r-empirical-research configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to maxwell2732/codex-r-empirical-research. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/maxwell2732/codex-r-empirical-research/main/.claude/skills/r-bayes/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/maxwell2732/codex-r-empirical-research

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/maxwell2732/codex-r-empirical-research/r-bayes/github.svg)](https://agentmods.dev/skills/maxwell2732/codex-r-empirical-research/r-bayes)

Your own site

<a href="https://agentmods.dev/skills/maxwell2732/codex-r-empirical-research/r-bayes"><img src="https://agentmods.dev/badge/skills/maxwell2732/codex-r-empirical-research/r-bayes/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/maxwell2732/codex-r-empirical-research/r-bayes"><img src="https://agentmods.dev/badge/skills/maxwell2732/codex-r-empirical-research/r-bayes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,445 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00032	$0.01445
Opus 5.5	$0.00013	$0.00578
Sonnet 5.5	$0.00006	$0.00289
Haiku 4.5	$0.00003	$0.00145

Measured 2mo ago against content hash 28756036ccc7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

r-bayes scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/r-bayes/SKILL.md · 212 lines

The source is not reproduced here

No licence file

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 212 lines · 32 tokens per session scan A 28756036ccc7

Subscribe to this mod's changes

r-bayes is a skill published in the GitHub repository maxwell2732/codex-r-empirical-research (15 stars, last pushed 4mo ago), with no licence file. It adds 32 tokens to every session and 1,445 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Analytics and metrics Scientific

r-bayes next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
r-bayesmaxwell2732/codex-r-empirical-research	Skill	15	4mo ago	none	A	32	Claude Code
instrument-data-to-allotropeanthropics/knowledge-work-plugins	Skill	35k	2d ago	Apache-2.0	A	123	Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	83	Claude Code
matlabK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	44	Claude Code
phylogeneticsK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	71	Claude Code, Codex
research-engineerdavila7/claude-code-templates	Skill	33k	yesterday	MIT	A	43	Claude Code, Codex
mapping-to-snomedmaziyarpanahi/openmed	Skill	5.8k	yesterday	Apache-2.0	A	205	Claude Code

codex-r-empirical-research: Skill for Claude Code