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Arviz posterior diagnostics starter

Skill ma-compbio-lab/SkillFoundry/skills/statistical-and-machine-learning-foundations-for-science/arviz-posterior-diagnostics-starter

A framework for discovering, compiling, and validating reusable skills for scientific agents.From the repository description

Install
npx -y skills add ma-compbio-lab/SkillFoundry --skill arviz-posterior-diagnostics-starter

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

0.7 KB, 174 tokens by cl100k_base, as published. Nobody here has run it

ArviZ Posterior Diagnostics Starter

Use this skill to generate a deterministic toy posterior and summarize uncertainty diagnostics with ArviZ.

Run

./slurm/envs/statistics/bin/python \
  skills/statistical-and-machine-learning-foundations-for-science/arviz-posterior-diagnostics-starter/scripts/run_arviz_posterior_diagnostics.py \
  --out scratch/arviz/posterior_diagnostics.json

Output

The JSON summary includes:

  • per-parameter means and 90% HDIs
  • ess_bulk, ess_tail, and r_hat
  • max_rhat and min_ess_bulk

Notes

  • This is a starter for the taxonomy leaf uncertainty-estimation.
  • The posterior is simulated deterministically for reproducible testing; it is not fitted from real data.

What ships with it: 8 files

7.5 KB alongside SKILL.md, 2 of them executable

assets/

examples/

scripts/

tests/

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