audit

v2026.09.24

Sweeps implemented frontend code across five dimensions at once — accessibility, performance, theming, responsive design, and anti-patterns — scoring each 0-4 and emitting a single P0-P3 report with a prioritized plan. Reports only; it changes no code. Reach for it as the broad first pass when no one dimension has been named. For a deep WCAG conformance pass, use `accessibility`; for design-token drift, use `design-consistency-auditor`.

GitHub
安装命令
npx skhub add shipshitdev/audit
Markdown
SKILL.md

Run systematic technical quality checks and generate the report below. Do not fix issues in this skill.

Before scanning, read the existing design system (CSS / tokens / theme and a representative component) so "correct" is measured against the project's own conventions, not generic defaults. If the repo carries design context (PRODUCT.md, DESIGN.md, .impeccable.md, or a ## Design Context block in .github/copilot-instructions.md), read it too.

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

Diagnostic Scan

Run 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)

Look for AI slop tells (generic indigo/violet palette, gradient text, dark glows, glassmorphism, hero-metric layouts, identical 3-card grids, generic geometric fonts) and general design anti-patterns (gray text on colored backgrounds, nested cards, bounce/elastic easing, redundant copy that restates a visible label).

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

#DimensionScoreKey Finding
1Accessibility?[most critical a11y issue or "--"]
2Performance?
3Responsive Design?
4Theming?
5Anti-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 or skill to use to fix it

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

List 1-3 implementation practices worth preserving, with file/component evidence. Omit this section when there is no concrete positive finding.

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: Map findings to the most appropriate available skill or command. End with a polish/cleanup step as the final recommendation 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.

Limit P3 findings to the top five unless the user asks for a complete backlog.

NEVER:

  • Report issues without explaining impact (why does this matter?)
  • Provide recommendations without file/component evidence and a fix path
  • Skip positive findings (celebrate what works)
  • Forget to prioritize (everything can't be P0)
  • Report false positives without verification

Related

  • accessibility — go deeper than dimension 1 when the request is WCAG conformance, ARIA, keyboard access, or screen readers.
  • design-consistency-auditor — go deeper than dimension 3 when the request is token drift, hardcoded colors, or design-system divergence.
发现
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版本
最新版本元数据

版本

v2026.09.24

发布时间

Sep 24, 2026

分类

未分类

许可证

未指定

源路径

skills/audit

默认分支

master

最新提交

a0f9899

Tree SHA

f05942e