Frontend Quality Auditor

Community

TheGoat395

frontend-quality-auditor

Audit launch readiness; report ship/no-ship.

Overview

Publisher	TheGoat395
Repository	`Codex-Skills`
Skill name	`frontend-quality-auditor`
Stars	136
Forks	48
Bundled files	2
License	MIT
Links	Skill source Repository

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by TheGoat395 on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/TheGoat395/Codex-Skills/tree/main/skills/frontend-quality-auditor
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.

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/TheGoat395/Codex-Skills.git /tmp/Codex-Skills
mkdir -p .claude/skills
cp -r /tmp/Codex-Skills/skills/frontend-quality-auditor .claude/skills/frontend-quality-auditor

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Frontend Quality Auditor 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 Frontend Quality Auditor 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 Frontend Quality Auditor 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.

Frontend Quality Auditor

Use this skill to decide whether a frontend is ready to ship and what should be fixed first.

Core Contract

Produce a concise, evidence-based quality report. Do not redesign the product unless the user explicitly asks for fixes. The default output is an audit, not a rebuild.

Audit Workflow

Identify the project type, framework, entry routes, styling system, scripts, and available preview or deployment URL.
Inspect source structure first, then inspect rendered output when a browser or screenshot workflow is available.
Review desktop and mobile breakpoints before judging visual quality.
Check the launch-critical surfaces: hero or first screen, navigation, primary CTA, forms, media, interactive states, footer, error/loading/empty states, and any checkout, booking, pricing, or dashboard flows.
Classify issues by severity:
- Blocker: likely broken, inaccessible, misleading, unusable, or launch-damaging.
- High: visibly unprofessional, confusing, slow, fragile, or trust-reducing.
- Medium: polish, consistency, or resilience issue worth fixing soon.
- Low: minor refinement that should not block launch.
Recommend the smallest useful next action for each meaningful issue.
End with a clear Ship, Ship after fixes, or Do not ship yet judgment.

Review Areas

Visual polish: hierarchy, spacing, typography, alignment, density, color, contrast, icon use, media treatment, empty space, and generic AI-looking patterns.
Responsive behavior: mobile composition, tablet layout, overflow, touch targets, nav behavior, media crops, and text wrapping.
Accessibility: semantic structure, headings, labels, focus states, keyboard paths, alt text, contrast, reduced motion, ARIA misuse, and modal/menu behavior.
Performance: image and video weight, layout shift risk, font loading, animation cost, bundle hints, third-party scripts, and Core Web Vitals concerns.
SEO and sharing basics: title, description, canonical, Open Graph, heading order, crawlable content, image alt text, sitemap/robots signals when relevant.
Interaction quality: hover, focus, active, disabled, loading, error, success, offline, retry, and empty states.
Content and trust: vague claims, placeholder copy, weak CTAs, unsupported proof, unclear pricing or contact flows, missing legal or support signals where expected.

Use Specialist Skills When Available

Route deep follow-up work to focused skills instead of bloating this audit:

browser-inspection-workflow for rendered browser inspection and evidence capture.
visual-polish-qa or responsive-visual-polish-qa for visual fixes.
mobile-responsive-qa for phone and tablet layout issues.
accessibility-audit-websites for detailed accessibility remediation.
performance-audit-websites or performance-budget-lab for speed and Core Web Vitals.
seo-technical-qa for launch SEO checks.
cross-browser-qa for browser compatibility.
anti-generic-website-review for generic AI output and weak design patterns.
content-pruning-review, non-generic-web-copy, or cta-language-systems for copy and conversion clarity.

Output Format

Use this structure unless the user asks for something else:

Verdict: Ship, ship after fixes, or do not ship yet.
Top Risks: The material issues most likely to affect users or trust, if any; do not invent a minimum count.
Findings: Severity, location, evidence, impact, and recommended fix.
Quick Wins: Small improvements with high visible payoff.
Specialist Follow-Ups: Which focused skills or checks should be run next.
Verification Notes: Commands, URLs, viewports, screenshots, and checks actually performed.

Read references/audit-checklist.md for the full checklist when performing a complete launch-readiness review.

Scope and evidence

Add insufficient evidence / not assessed when source-only or sampled evidence cannot support readiness. Qualify every verdict by surface and claimed stage. Recommendations remain recommendations in an analysis-only audit.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB
references/audit-checklist.md4 KB

Frequently asked questions

What does the Frontend Quality Auditor AI skill do?

Audit launch readiness; report ship/no-ship.

Why use Frontend Quality Auditor on TypingMind?

Because you install it once and use it with any model. Frontend Quality Auditor 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 Frontend Quality Auditor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TheGoat395/Codex-Skills/tree/main/skills/frontend-quality-auditor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Frontend Quality Auditor?

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 Frontend Quality Auditor?

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

Is the Frontend Quality Auditor AI skill free?

Yes. It is published on GitHub by TheGoat395 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Frontend Quality Auditor

Core Contract

Audit Workflow

Review Areas

Use Specialist Skills When Available

Output Format

Scope and evidence

Bundled files

Frequently asked questions

Related AI Skills

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