ai-ethics-review
Conduct an ethical review of an AI or ML feature, model, or product. Use when asked to run an AI ethics review, assess AI risks, audit a model for bias, or produce an AI impact assessment. Produces a structured ethics review covering fairness, transparency, privacy, safety, accountability, and societal impact with prioritised mitigations.
npx skills add majiayu000/claude-skill-registry --skill ai-ethics-review --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 Review Skill This skill produces a structured ethical review of an AI or machine learning feature, model, or product. Output covers fairness, transparency, privacy, safety, accountability, and societal impact — with risk scoring, prioritised mitigations, and a checklist suitable for governance review or responsible AI documentation. > ⚠️ This skill provides a structured framework for identifying and documenting ethical risks. It is not a substitute for legal advice, regulated algorithmic impact assessments, or specialist ethics review required in specific jurisdictions (e.g. EU AI Act, UK AI regulation). ## Required Inputs Ask the user for these if not provided: - **Feature or model name** and what it does - **Who it affects** — which users or people does the AI interact with, make decisions about, or collect data from? - **What decisions or outputs it produces** — recommendations, predictions, classifications, generation, automation? - **Consequentiality** — how significant are the AI's decisions? (low-stakes suggestions vs decisions that affect employment, credit, health, safety, etc.) - **Data used** — what training data, user data, or third-party data is used? - **H
- Required Inputs
- Output Structure
- 1. Feature Summary
- 2. Risk Tier Assessment
- 3. Fairness & Bias
- 4. Transparency & Explainability
- 5. Privacy & Data
- 6. Safety & Reliability
- 7. Accountability & Governance
- 8. Societal Impact
- 9. Mitigation Priorities
- 10. Pre-Deployment Checklist
- Quality Checks
- Example Trigger Phrases
What does the ai-ethics-review skill do?
Conduct an ethical review of an AI or ML feature, model, or product. Use when asked to run an AI ethics review, assess AI risks, audit a model for bias, or produce an AI impact assessment. Produces a structured ethics review covering fairness, transparency, privacy, safety, accountability, and societal impact with prioritised mitigations.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ai-ethics-review --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.