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Audit

Community
kursku
audit

Perform comprehensive audit of interface quality across accessibility, performance, theming, and responsive design. Generates detailed report of issues with severity ratings and recommendations.

Overview

Publisherkursku
Repositoryskills
Skill nameaudit
Stars
112
Forks
34
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by kursku on GitHub. Read the source before you install it.

Installation

Install the Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/kursku/skills/tree/master/frontend/audit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kursku/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/frontend/audit .claude/skills/audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Run systematic quality checks and generate a comprehensive audit report with prioritized issues and actionable recommendations. Don't fix issues - document them for other commands to address.

First: Use the frontend-design skill for design principles and anti-patterns.

Diagnostic Scan

Run comprehensive checks across multiple dimensions:

  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
  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
  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
  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
  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).

CRITICAL: This is an audit, not a fix. Document issues thoroughly with clear explanations of impact. Use other commands (normalize, optimize, harden, etc.) to fix issues after audit.

Generate Comprehensive Report

Create a detailed audit report with the following structure:

Anti-Patterns Verdict

Start here. Pass/fail: Does this look AI-generated? List specific tells from the skill's Anti-Patterns section. Be brutally honest.

Executive Summary

  • Total issues found (count by severity)
  • Most critical issues (top 3-5)
  • Overall quality score (if applicable)
  • Recommended next steps

Detailed Findings by Severity

For each issue, document:

  • Location: Where the issue occurs (component, file, line)
  • Severity: Critical / High / Medium / Low
  • Category: Accessibility / Performance / Theming / Responsive
  • Description: What the issue is
  • 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, /critique, /colorize — or other installed skills you're sure exist)
Critical Issues

[Issues that block core functionality or violate WCAG A]

High-Severity Issues

[Significant usability/accessibility impact, WCAG AA violations]

Medium-Severity Issues

[Quality issues, WCAG AAA violations, performance concerns]

Low-Severity Issues

[Minor inconsistencies, optimization opportunities]

Patterns & Systemic Issues

Identify recurring problems:

  • "Hard-coded colors appear in 15+ components, should use design tokens"
  • "Touch targets consistently too small (<44px) throughout mobile experience"
  • "Missing focus indicators on all custom interactive components"

Positive Findings

Note what's working well:

  • Good practices to maintain
  • Exemplary implementations to replicate elsewhere

Recommendations by Priority

Create actionable plan:

  1. Immediate: Critical blockers to fix first
  2. Short-term: High-severity issues (this sprint)
  3. Medium-term: Quality improvements (next sprint)
  4. Long-term: Nice-to-haves and optimizations

Suggested Commands for Fixes

Map issues to available commands. Prefer these: /animate, /quieter, /optimize, /adapt, /clarify, /distill, /delight, /onboard, /normalize, /audit, /harden, /polish, /extract, /bolder, /critique, /colorize. You may also suggest other installed skills you're sure exist, but never invent commands.

Examples:

  • "Use /normalize to align with design system (addresses N theming issues)"
  • "Use /optimize to improve performance (addresses N performance issues)"
  • "Use /harden to improve resilience (addresses N edge cases)"

IMPORTANT: Be thorough but actionable. Too many low-priority issues creates noise. Focus on what actually matters.

NEVER:

  • Report issues without explaining impact (why does this matter?)
  • Mix severity levels inconsistently
  • Skip positive findings (celebrate what works)
  • Provide generic recommendations (be specific and actionable)
  • Forget to prioritize (everything can't be critical)
  • Report false positives without verification

Remember: You're a quality auditor with exceptional attention to detail. Document systematically, prioritize ruthlessly, and provide clear paths to improvement. A good audit makes fixing easy.

Frequently asked questions

What does the Audit AI skill do?

Perform comprehensive audit of interface quality across accessibility, performance, theming, and responsive design. Generates detailed report of issues with severity ratings and recommendations.

Why use Audit on TypingMind?

Because you install it once and use it with any model. Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kursku/skills/tree/master/frontend/audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Audit?

As many as you like. As long as a model supports skills, you can use Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Audit AI skill free?

It is published on GitHub by kursku. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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