ethics-reviewer

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This skill should be used when the user mentions "dark patterns", "accessibility", "a11y", "privacy", "tracking", "analytics", "notifications", "user data", "GDPR", "consent", "manipulation", "sustainability", "performance budget", or when building user-facing features that collect data, send notifications, display urgency, or gate access. Addresses ethical constraints in software design — manipulation, accessibility, privacy, and sustainability.

diegosouzapw By diegosouzapw schedule Updated 2/28/2026

name: ethics-reviewer description: This skill should be used when the user mentions "dark patterns", "accessibility", "a11y", "privacy", "tracking", "analytics", "notifications", "user data", "GDPR", "consent", "manipulation", "sustainability", "performance budget", or when building user-facing features that collect data, send notifications, display urgency, or gate access. Addresses ethical constraints in software design — manipulation, accessibility, privacy, and sustainability. version: 1.0.0

Ethics Reviewer

Passive ethical review skill. Activates when user-facing features touch the four ethical concerns: manipulation, accessibility, privacy, and sustainability. Checks designs and implementations against principled constraints without requiring explicit invocation.


When This Skill Applies

Use this skill when:

  • Building forms that collect personal data
  • Implementing notifications, emails, or alerts
  • Designing pricing pages, upgrade flows, or paywalls
  • Adding analytics, tracking, or telemetry
  • Creating urgency mechanisms (countdowns, scarcity indicators)
  • Implementing accessibility-sensitive UI (navigation, forms, modals)
  • Making performance decisions that affect device/network inclusivity
  • The conversation involves user-facing features of any kind

This skill is ambient — it should fire as a background check when relevant keywords or patterns appear, not only when explicitly requested.


The Four Ethical Constraints

1. No Manipulation

Software should amplify the user, not exploit them.

Red flags:

  • Confirmshaming ("No thanks, I don't want to save money")
  • Hidden opt-outs (pre-checked boxes, buried unsubscribe)
  • Artificial urgency ("Only 2 left!" when stock is unlimited)
  • Dark patterns in cancellation flows (extra steps, guilt language)
  • Misdirection (visual emphasis on the option that benefits the business)
  • Forced continuity (hard to cancel subscriptions)
  • Roach motels (easy to get into, hard to get out of)

Principle: The user's best interest and the business's best interest should align. If they diverge, side with the user.

Check:

  • Would the user feel tricked if they understood the full mechanism?
  • Is the easiest path also the one that serves the user?
  • Can the user reverse this action as easily as they took it?

2. Accessibility as Default

If someone can't use it, it doesn't work.

Requirements (not aspirations):

  • Semantic HTML (headings, landmarks, labels, roles)
  • Keyboard navigable (all interactive elements reachable via Tab/Enter/Escape)
  • Screen reader compatible (meaningful alt text, aria-labels where semantic HTML isn't enough)
  • Colour contrast ratios meet WCAG 2.1 AA minimum (4.5:1 for normal text, 3:1 for large text)
  • Focus indicators visible
  • Error messages associated with inputs (aria-describedby or aria-errormessage)
  • No information conveyed by colour alone
  • Reduced motion support (prefers-reduced-motion)

Check:

  • Can a keyboard-only user complete this flow?
  • Does every image/icon have appropriate alt text or aria-label?
  • Does the colour scheme pass contrast checks?
  • Are form errors announced to screen readers?

3. Privacy by Default

Collect the minimum. Store it carefully. Be transparent about it.

Principles:

  • Data minimisation: Only collect what's needed for the feature to work
  • Purpose limitation: Don't repurpose data without consent
  • Transparent collection: Tell users what's collected and why
  • Secure storage: Encrypt sensitive data, use environment variables for secrets
  • Right to delete: Users can remove their data
  • No silent tracking: Analytics require disclosure; no hidden telemetry

Red flags:

  • Collecting email "for later" without a clear purpose
  • Tracking user behaviour without disclosure
  • Storing data you don't actively need
  • Third-party scripts that phone home with user data
  • Cookies set before consent given

Check:

  • What data does this feature collect?
  • Is all of it necessary for the feature to work?
  • Is the user informed about the collection?
  • Can the user opt out without losing core functionality?
  • Is sensitive data encrypted at rest and in transit?

4. Sustainability

Software that wastes resources wastes everyone's time and energy.

Principles:

  • Performance budgets: Set limits on page weight, load time, bundle size
  • Device inclusivity: Don't require flagship hardware; test on constrained devices
  • Network inclusivity: Work on slow connections; progressive enhancement
  • Efficient queries: Avoid N+1, over-fetching, unnecessary computation
  • Lazy loading: Don't load what's not visible
  • Caching strategy: Don't re-fetch what hasn't changed

Check:

  • Does this feature degrade gracefully on slow connections?
  • Is the bundle size impact proportional to the feature's value?
  • Are images/assets appropriately sized and lazy-loaded?
  • Are database queries efficient? (No N+1, appropriate indexes)

How to Apply

This skill doesn't produce a standalone output. It annotates other work:

During Design

When discussing a feature, flag ethical concerns inline:

⚠️ Ethics: This notification flow sends emails on a schedule the user didn't choose.
Consider: opt-in frequency selection, easy one-click unsubscribe.

During Implementation

When reviewing or writing code, flag issues:

⚠️ Ethics (accessibility): This modal traps focus but doesn't return focus
to the trigger element on close.

During Review

When assessing completed work:

⚠️ Ethics (privacy): This analytics call sends the user's full name to a
third-party service. Consider sending an anonymised ID instead.

Severity Levels

Not all ethical concerns are equal. Use these to calibrate:

Must fix (blocks shipping):

  • Keyboard traps (user literally cannot proceed)
  • Data collection without disclosure
  • Dark patterns that exploit vulnerable users
  • Missing alt text on functional images
  • WCAG AA contrast failures on primary UI

Should fix (fix before v1):

  • Missing reduced-motion support
  • Overly broad data collection (works but collects more than needed)
  • Cancellation flows with unnecessary friction
  • Images without descriptive alt text (decorative is fine)
  • Large bundle sizes on critical paths

Consider (improve over time):

  • Enhanced screen reader experience beyond minimum
  • Performance optimisation for constrained devices
  • Additional privacy controls beyond legal requirements
  • WCAG AAA contrast compliance

Integration Points

With domain-modeller

When the domain model includes personal data entities (User, Profile, Preferences), ethics-reviewer flags data minimisation and privacy concerns.

With frontend-styler

Accessibility checks integrate directly into styling work — contrast, focus indicators, semantic structure.

With api-designer

Privacy-by-default patterns in API design — no excessive data in responses, secure defaults, proper auth scoping.

With testing-obsessive

Accessibility testing is part of the testing strategy — automated a11y checks, keyboard navigation tests, screen reader verification.


Quick Reference Checklist

Before shipping any user-facing feature:

  • Manipulation: Would the user feel tricked? Is the easiest path the honest one?
  • Accessibility: Can a keyboard/screen-reader user complete this flow?
  • Privacy: Is data collection minimal, disclosed, and deletable?
  • Sustainability: Does this work on slow connections and modest hardware?

Success Criteria

Ethics review is effective when:

  • Concerns are caught during design, not after launch
  • The team treats accessibility as a requirement, not a nice-to-have
  • Users can understand, control, and delete their data
  • No dark patterns exist in the product
  • The software works for people with different abilities, devices, and connections
Install via CLI
npx skills add https://github.com/diegosouzapw/awesome-omni-skill --skill ethics-reviewer
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