From the author
Defamiliarization audit for empirical output. Systematically interrogates every feature of a figure, table, or set of results — not just the main finding. Named for Jason Fletcher, who asked about the spike at t=1 when everyone else was looking at t=2. Use when you have output and are about to interpret or report it.
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill fletcher -a claude-code
Installs to .claude/skills/fletcher/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
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Why 85
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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