bias-and-fairness-auditing
Audit pilot data, models, and workflows for bias and inclusivity issues. Use when evaluating fairness across demographic groups, identifying algorithmic biases, and recommending mitigation strategies to ensure equitable outcomes.
npx skills add majiayu000/claude-skill-registry --skill bias-and-fairness-auditing --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.
# Bias And Fairness Auditing ## Overview [TODO: 1-2 sentences explaining what this skill enables] ## Structuring This Skill [TODO: Choose the structure that best fits this skill's purpose. Common patterns: **1. Workflow-Based** (best for sequential processes) - Works well when there are clear step-by-step procedures - Example: DOCX skill with "Workflow Decision Tree" -> "Reading" -> "Creating" -> "Editing" - Structure: ## Overview -> ## Workflow Decision Tree -> ## Step 1 -> ## Step 2... **2. Task-Based** (best for tool collections) - Works well when the skill offers different operations/capabilities - Example: PDF skill with "Quick Start" -> "Merge PDFs" -> "Split PDFs" -> "Extract Text" - Structure: ## Overview -> ## Quick Start -> ## Task Category 1 -> ## Task Category 2... **3. Reference/Guidelines** (best for standards or specifications) - Works well for brand guidelines, coding standards, or requirements - Example: Brand styling with "Brand Guidelines" -> "Colors" -> "Typography" -> "Features" - Structure: ## Overview -> ## Guidelines -> ## Specifications -> ## Usage... **4. Capabilities-Based** (best for integrated systems) - Works well when the skill provides multiple inter
- Overview
- Structuring This Skill
- [TODO: Replace with the first main section based on chosen structure]
- Resources (optional)
- scripts/
- references/
- assets/
What does the bias-and-fairness-auditing skill do?
Audit pilot data, models, and workflows for bias and inclusivity issues. Use when evaluating fairness across demographic groups, identifying algorithmic biases, and recommending mitigation strategies to ensure equitable outcomes.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill bias-and-fairness-auditing --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 majiayu000/claude-skill-registry, a repository with 534 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.