Assess an AI model, feature, or dataset for bias and fairness across groups — representational and allocative harms, disparate performance, and skewed refusals — using appropriate fairness metrics, and recommend mitigations. Use when evaluating whether an AI system treats people equitably.
How to install bias-fairness-assessment?
jassics/awesome-claude-security/bias-fairness-assessment
$npx -y skills add jassics/awesome-claude-security --skill bias-fairness-assessmentInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/jassics/awesome-claude-security" --skill "jassics/awesome-claude-security/bias-fairness-assessment"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/jassics/awesome-claude-security" that are relevant to the current task. Run `npx skills add "https://github.com/jassics/awesome-claude-security"` and select the relevant skills, then follow their instructions.
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