uai-experiments
From the author
Use when designing or auditing UAI experiments where inference quality is the endpoint, covering calibration and coverage measurement, posterior diagnostics, structure-recovery metrics for causal and graphical models, seeded repeated runs, baselines from both sampling and optimization families, and mapping each claim to its evidence.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill uai-experiments -a claude-code
Installs to .claude/skills/uai-experiments/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 88
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
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