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R Hierarchical Bayesian MCMC Implementation

100 / 100 · Low risk

Fine to try.

By ECNU-ICALK/AutoSkill (GitHub) · coding · 613 stars · scanned at commit 94c47ca

Generate complete R code for hierarchical Bayesian models using Gibbs/Metropolis sampling, strictly adhering to a user-provided template that includes initialization, sampling, convergence diagnostics (trace/ACF), multi-chain execution, thinning, and chain combination.

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'r-hierarchical-bayesian-mcmc-implementation' ] || [ -L ~/.agents/skills/'r-hierarchical-bayesian-mcmc-implementation' ]; then echo 'A skill folder named r-hierarchical-bayesian-mcmc-implementation already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/ECNU-ICALK/AutoSkill' "$d" && git -C "$d" checkout --quiet '94c47ca488d4ba4117d20272e66d49b9877e68cf' -- 'SkillBank/ConvSkill/english_gpt4_8_GLM4.7/r-hierarchical-bayesian-mcmc-implementation' && mkdir -p ~/.agents/skills && cp -R "$d"/'SkillBank/ConvSkill/english_gpt4_8_GLM4.7/r-hierarchical-bayesian-mcmc-implementation' ~/.agents/skills/'r-hierarchical-bayesian-mcmc-implementation' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'r-hierarchical-bayesian-mcmc-implementation' ~/.claude/skills/'r-hierarchical-bayesian-mcmc-implementation' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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