audit

Run technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants an accessibility check, performance audit, or technical quality review.

197 stars

Best use case

audit is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Run technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants an accessibility check, performance audit, or technical quality review.

Teams using audit should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/audit/SKILL.md --create-dirs "https://raw.githubusercontent.com/mxyhi/ok-skills/main/impeccable/audit/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/audit/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How audit Compares

Feature / AgentauditStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Run technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants an accessibility check, performance audit, or technical quality review.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

## MANDATORY PREPARATION

Invoke /frontend-design — it contains design principles, anti-patterns, and the **Context Gathering Protocol**. Follow the protocol before proceeding — if no design context exists yet, you MUST run /teach-impeccable first.

---

Run systematic **technical** quality checks and generate a comprehensive report. Don't fix issues — document them for other commands to address.

This is a code-level audit, not a design critique. Check what's measurable and verifiable in the implementation.

## Diagnostic Scan

Run comprehensive checks across 5 dimensions. Score each dimension 0-4 using the criteria below.

### 1. Accessibility (A11y)

**Check for**:
- **Contrast issues**: Text contrast ratios < 4.5:1 (or 7:1 for AAA)
- **Missing ARIA**: Interactive elements without proper roles, labels, or states
- **Keyboard navigation**: Missing focus indicators, illogical tab order, keyboard traps
- **Semantic HTML**: Improper heading hierarchy, missing landmarks, divs instead of buttons
- **Alt text**: Missing or poor image descriptions
- **Form issues**: Inputs without labels, poor error messaging, missing required indicators

**Score 0-4**: 0=Inaccessible (fails WCAG A), 1=Major gaps (few ARIA labels, no keyboard nav), 2=Partial (some a11y effort, significant gaps), 3=Good (WCAG AA mostly met, minor gaps), 4=Excellent (WCAG AA fully met, approaches AAA)

### 2. Performance

**Check for**:
- **Layout thrashing**: Reading/writing layout properties in loops
- **Expensive animations**: Animating layout properties (width, height, top, left) instead of transform/opacity
- **Missing optimization**: Images without lazy loading, unoptimized assets, missing will-change
- **Bundle size**: Unnecessary imports, unused dependencies
- **Render performance**: Unnecessary re-renders, missing memoization

**Score 0-4**: 0=Severe issues (layout thrash, unoptimized everything), 1=Major problems (no lazy loading, expensive animations), 2=Partial (some optimization, gaps remain), 3=Good (mostly optimized, minor improvements possible), 4=Excellent (fast, lean, well-optimized)

### 3. Theming

**Check for**:
- **Hard-coded colors**: Colors not using design tokens
- **Broken dark mode**: Missing dark mode variants, poor contrast in dark theme
- **Inconsistent tokens**: Using wrong tokens, mixing token types
- **Theme switching issues**: Values that don't update on theme change

**Score 0-4**: 0=No theming (hard-coded everything), 1=Minimal tokens (mostly hard-coded), 2=Partial (tokens exist but inconsistently used), 3=Good (tokens used, minor hard-coded values), 4=Excellent (full token system, dark mode works perfectly)

### 4. Responsive Design

**Check for**:
- **Fixed widths**: Hard-coded widths that break on mobile
- **Touch targets**: Interactive elements < 44x44px
- **Horizontal scroll**: Content overflow on narrow viewports
- **Text scaling**: Layouts that break when text size increases
- **Missing breakpoints**: No mobile/tablet variants

**Score 0-4**: 0=Desktop-only (breaks on mobile), 1=Major issues (some breakpoints, many failures), 2=Partial (works on mobile, rough edges), 3=Good (responsive, minor touch target or overflow issues), 4=Excellent (fluid, all viewports, proper touch targets)

### 5. Anti-Patterns (CRITICAL)

Check against ALL the **DON'T** guidelines in the frontend-design skill. Look for AI slop tells (AI color palette, gradient text, glassmorphism, hero metrics, card grids, generic fonts) and general design anti-patterns (gray on color, nested cards, bounce easing, redundant copy).

**Score 0-4**: 0=AI slop gallery (5+ tells), 1=Heavy AI aesthetic (3-4 tells), 2=Some tells (1-2 noticeable), 3=Mostly clean (subtle issues only), 4=No AI tells (distinctive, intentional design)

## Generate Report

### Audit Health Score

| # | Dimension | Score | Key Finding |
|---|-----------|-------|-------------|
| 1 | Accessibility | ? | [most critical a11y issue or "--"] |
| 2 | Performance | ? | |
| 3 | Responsive Design | ? | |
| 4 | Theming | ? | |
| 5 | Anti-Patterns | ? | |
| **Total** | | **??/20** | **[Rating band]** |

**Rating bands**: 18-20 Excellent (minor polish), 14-17 Good (address weak dimensions), 10-13 Acceptable (significant work needed), 6-9 Poor (major overhaul), 0-5 Critical (fundamental issues)

### Anti-Patterns Verdict
**Start here.** Pass/fail: Does this look AI-generated? List specific tells. Be brutally honest.

### Executive Summary
- Audit Health Score: **??/20** ([rating band])
- Total issues found (count by severity: P0/P1/P2/P3)
- Top 3-5 critical issues
- Recommended next steps

### Detailed Findings by Severity

Tag every issue with **P0-P3 severity**:
- **P0 Blocking**: Prevents task completion — fix immediately
- **P1 Major**: Significant difficulty or WCAG AA violation — fix before release
- **P2 Minor**: Annoyance, workaround exists — fix in next pass
- **P3 Polish**: Nice-to-fix, no real user impact — fix if time permits

For each issue, document:
- **[P?] Issue name**
- **Location**: Component, file, line
- **Category**: Accessibility / Performance / Theming / Responsive / Anti-Pattern
- **Impact**: How it affects users
- **WCAG/Standard**: Which standard it violates (if applicable)
- **Recommendation**: How to fix it
- **Suggested command**: Which command to use (prefer: /animate, /quieter, /optimize, /adapt, /clarify, /distill, /delight, /onboard, /normalize, /audit, /harden, /polish, /extract, /bolder, /arrange, /typeset, /critique, /colorize, /overdrive)

### Patterns & Systemic Issues

Identify recurring problems that indicate systemic gaps rather than one-off mistakes:
- "Hard-coded colors appear in 15+ components, should use design tokens"
- "Touch targets consistently too small (<44px) throughout mobile experience"

### Positive Findings

Note what's working well — good practices to maintain and replicate.

## Recommended Actions

List recommended commands in priority order (P0 first, then P1, then P2):

1. **[P?] `/command-name`** — Brief description (specific context from audit findings)
2. **[P?] `/command-name`** — Brief description (specific context)

**Rules**: Only recommend commands from: /animate, /quieter, /optimize, /adapt, /clarify, /distill, /delight, /onboard, /normalize, /audit, /harden, /polish, /extract, /bolder, /arrange, /typeset, /critique, /colorize, /overdrive. Map findings to the most appropriate command. End with `/polish` as the final step if any fixes were recommended.

After presenting the summary, tell the user:

> You can ask me to run these one at a time, all at once, or in any order you prefer.
>
> Re-run `/audit` after fixes to see your score improve.

**IMPORTANT**: Be thorough but actionable. Too many P3 issues creates noise. Focus on what actually matters.

**NEVER**:
- Report issues without explaining impact (why does this matter?)
- Provide generic recommendations (be specific and actionable)
- Skip positive findings (celebrate what works)
- Forget to prioritize (everything can't be P0)
- Report false positives without verification

Remember: You're a technical quality auditor. Document systematically, prioritize ruthlessly, cite specific code locations, and provide clear paths to improvement.

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