sensitivity-analysis

SKILL.md

Purpose Test whether findings are robust to analytical decisions and assumptions.

"Results were robust to removal of the highest risk-of-bias study (d=0.48 vs d=0.52) and remained significant when using non-parametric tests (p=.002)."

Conduct sensitivity analyses to test robustness of findings. Use when: (1) Testing assumption violations, (2) Meta-analysis robustness, (3) Handling missing data, (4) Examining outliers. Source: astoreyai/ai_scientist.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/astoreyai/ai_scientist --skill sensitivity-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

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