Agent skill · AI & Agents

fairlearn-bias-detector

Fairness assessment skill using Fairlearn for bias detection, mitigation, and compliance reporting.

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill fairlearn-bias-detector --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Allowed tools: -Read-Write-Bash-Glob-Grep
Path: library/specializations/data-science-ml/skills/fairlearn-bias-detector/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# fairlearn-bias-detector ## Overview Fairness assessment skill using Fairlearn for bias detection, mitigation, and compliance reporting in ML models. ## Capabilities - Demographic parity assessment - Equalized odds evaluation - Disparity metrics calculation - Bias mitigation algorithms (preprocessing, in-processing, post-processing) - Fairness constraint optimization - Compliance documentation generation - Intersectional fairness analysis - Threshold optimization for fairness ## Target Processes - Model Evaluation and Validation Framework - Model Interpretability and Explainability Analysis - A/B Testing Framework for ML Models ## Tools and Libraries - Fairlearn - scikit-learn - pandas ## Input Schema ```json { "type": "object", "required": ["modelPath", "dataPath", "sensitiveFeatures"], "properties": { "modelPath": { "type": "string", "description": "Path to the trained model" }, "dataPath": { "type": "string", "description": "Path to evaluation data" }, "sensitiveFeatures": { "type": "array", "items": { "type": "string" }, "description": "Column names of sensitive attributes" }, "labelColumn": { "type": "string", "description": "Name of the target/label column" }, "assessmentCon

What's inside
Steps it walks through
  1. Overview
  2. Capabilities
  3. Target Processes
  4. Tools and Libraries
  5. Input Schema
  6. Output Schema
  7. Usage Example
Ships with 1 file
  • README.md
More from babysitter
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About this skill
What does the fairlearn-bias-detector skill do?

Fairness assessment skill using Fairlearn for bias detection, mitigation, and compliance reporting.

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill fairlearn-bias-detector --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 a5c-ai/babysitter, a repository with 1,642 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.

Keep going