Audit logo

Audit

CommunityPopular
fengshao1227
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.

Overview

Publisherfengshao1227
Repositoryccg-workflow
Skill nameaudit
Stars
5.9K
Forks
446
Bundled files
Instructions only
LicenseMIT
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 fengshao1227 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.
  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/fengshao1227/ccg-workflow.git /tmp/ccg-workflow
mkdir -p .claude/skills
cp -r /tmp/ccg-workflow/templates/skills/impeccable/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.

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

#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 to use (prefer: /audit, /critique, /normalize, /polish, /distill, /clarify, /optimize, /harden, /animate, /colorize, /bolder, /quieter, /delight, /extract, /adapt, /onboard, /typeset, /arrange, /overdrive, /teach-impeccable)

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: /audit, /critique, /normalize, /polish, /distill, /clarify, /optimize, /harden, /animate, /colorize, /bolder, /quieter, /delight, /extract, /adapt, /onboard, /typeset, /arrange, /overdrive, /teach-impeccable. 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.

Frequently asked questions

What does the Audit AI 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.

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/fengshao1227/ccg-workflow/tree/main/templates/skills/impeccable/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?

Yes. It is published on GitHub by fengshao1227 under the MIT license. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇