validating-ai-ethics-and-fairness
Validate AI/ML models and datasets for bias, fairness, and ethical concerns. Use when auditing AI systems for ethical compliance, fairness assessment, or bias detection. Trigger with phrases like "evaluate model fairness", "check for bias", or "validate AI ethics". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill validating-ai-ethics-and-fairness --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AI Ethics Validator ## Overview Validate AI/ML models and datasets for bias, fairness, and ethical compliance using quantitative fairness metrics and structured audit workflows. ## Prerequisites - Python 3.9+ with Fairlearn >= 0.9 (`pip install fairlearn`) - IBM AI Fairness 360 toolkit (`pip install aif360`) for comprehensive bias analysis - pandas, NumPy, and scikit-learn for data manipulation
What does the validating-ai-ethics-and-fairness skill do?
Validate AI/ML models and datasets for bias, fairness, and ethical concerns. Use when auditing AI systems for ethical compliance, fairness assessment, or bias detection. Trigger with phrases like "evaluate model fairness", "check for bias", or "validate AI ethics". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill validating-ai-ethics-and-fairness --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.