claude

hibayes-skills

Skills for analysing AI-evaluation data with HiBayES: installing and running the five-stage pipeline (load, process, model, check, communicate), the YAML config and component registries, and the Bayesian workflow — estimand, pooling choice, priors, diagnostics, model comparison, reporting — with a plain-language concepts reference for explaining results.

60 on GitHubby UK AI Security InstituteMITupdated 22 days agodevelopment
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Plugin hibayes-skills from marketplace hibayes in UKGovernmentBEIS/hibayes. Commands read from the repo's manifest — 21 days ago.

What it installs

Skills (2)

  • hibayes-statistical-workflow

    Use whenever making STATISTICAL decisions in a HiBayES analysis: choosing a model/likelihood, setting or justifying priors, interpreting prior/posterior predictive checks, diagnosing bad MCMC fits (divergences, R-hat, low ESS, BFMI), comparing models with WAIC/LOO, or writing up results. Encodes the

  • running-hibayes

    Use whenever the user wants to run, configure, extend, or debug a HiBayES analysis — hierarchical Bayesian statistical modelling of Inspect AI eval results (or any tabular eval data). Covers the five-stage pipeline (load → process → model → check → communicate), the YAML config surface, the CLI (`hi

View source on GitHub ukgovernmentbeis.github.io

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