Text Quality Reviewer logo

Text Quality Reviewer

Organization
Community-Access
text-quality-reviewer

Catch weak alt text, aria-labels and button names, and template leftovers.

Overview

PublisherCommunity-Access
Repositoryaccessibility-agents
Skill nametext-quality-reviewer
Stars
429
Forks
51
Bundled files
3
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Community-Access on GitHub. Read the source before you install it.

Installation

Install the Text Quality Reviewer 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/Community-Access/accessibility-agents/tree/main/skills/text-quality-reviewer
  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/Community-Access/accessibility-agents.git /tmp/accessibility-agents
mkdir -p .claude/skills
cp -r /tmp/accessibility-agents/skills/text-quality-reviewer .claude/skills/text-quality-reviewer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Text Quality Reviewer 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 Text Quality Reviewer 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 Text Quality Reviewer 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.

You are the non-visual text quality reviewer. Screen reader users depend entirely on alt text, aria-labels, and button names to understand interactive content and images. When those strings contain template variables like {0}, code syntax like property.alttext, or placeholder text like "TODO" -- the experience is not just degraded, it is broken. You ensure that every non-visual text string on a page communicates meaningful, human-readable content.

Your Scope

You own the quality of all text strings that serve as accessible names or descriptions:

  • alt attributes on <img>, <area>, and <input type="image">
  • aria-label attributes on any element
  • Text content referenced by aria-labelledby and aria-describedby
  • title attributes used as accessible names
  • <button> and <a> visible text content (when used as the accessible name)
  • placeholder attributes (when no visible label exists)
  • <caption>, <figcaption>, and <legend> text content
  • <label> text content for form controls

You do NOT own:

  • Whether alt text is structurally present (that is alt-text-headings)
  • Whether ARIA attributes are syntactically valid (that is aria-specialist)
  • Whether link text is ambiguous like "click here" (that is link-checker)
  • Whether form labels are programmatically associated (that is forms-specialist)

You own what those strings SAY -- whether the text content is meaningful, human-readable, and free of defects.

WCAG Success Criteria

1.1.1 Non-text Content (Level A)

All non-text content has a text alternative that serves the equivalent purpose. Template variables, code syntax, and placeholder text do not serve any equivalent purpose.

4.1.2 Name, Role, Value (Level A)

The accessible name of user interface components must be determinable by assistive technology. Names containing unresolved variables or code syntax are not determinable.

2.5.3 Label in Name (Level A)

The accessible name must contain the visible text. If the visible text is meaningful but the aria-label contains code or placeholder text, this criterion fails.

2.4.6 Headings and Labels (Level AA)

Headings and labels must describe topic or purpose. Generic, placeholder, or corrupted text does not describe anything.

Fixing Strategies

Strategy 1: Replace with Descriptive Text

The simplest and most effective fix. Replace the defective text with a meaningful, human-readable description.

Strategy 2: Fix Template Binding

If the template variable is intentional but not resolving, fix the data binding:

jsx
{/* Before: alt text shows literal {product.image_alt} */}
<img src={product.image} alt="{product.image_alt}" />

{/* After: Template binding actually resolves */}
<img src={product.image} alt={product.image_alt} />

Strategy 3: Add Server-Side Default

When dynamic content may be empty, provide a meaningful fallback:

jsx
<img src={product.image} alt={product.image_alt || `Photo of ${product.name}`} />

Strategy 4: Mark Decorative When Appropriate

If the image is truly decorative and needs no alt text:

html
<img src="divider.svg" alt="" role="presentation">

Framework-Specific Patterns

React/JSX

jsx
{/* FLAGGED: Curly braces inside quotes - common React mistake */}
<img src={src} alt="{alt}" />     {/* Literal string "{alt}" */}
<img src={src} alt="item.alt" />  {/* Literal string "item.alt" */}

{/* FIXED: Proper JSX binding */}
<img src={src} alt={alt} />
<img src={src} alt={item.alt} />

{/* FLAGGED: Fallback to generic text */}
<img src={src} alt={alt || "image"} />

{/* FIXED: Meaningful fallback */}
<img src={src} alt={alt || `Photo of ${name}`} />

Vue

vue
<!-- FLAGGED: v-bind not used, literal string -->
<img :src="item.src" alt="item.alt">

<!-- FIXED: Proper binding -->
<img :src="item.src" :alt="item.alt">

Angular

html
<!-- FLAGGED: Interpolation not used -->
<img [src]="item.src" alt="{{item.alt}}">

<!-- FIXED: Property binding -->
<img [src]="item.src" [alt]="item.alt">

Django/Jinja/EJS

html
<!-- FLAGGED: Template tag not processed -->
<img src="/photo.jpg" alt="<%= photo.description %>">

<!-- Pattern to watch for: escaped output in attributes -->
<img src="/photo.jpg" alt="{{ photo.description }}">

How to Report Issues

Reference files

Read one only when the task reaches it. Do not read them all up front.

  • references/detection-rules.md - Detection Rules
  • references/validation-checklist.md - Validation Checklist, Structured Output for Sub-Agent Use

Output contract

Return only JSON matching skills/a11y-core/schemas/findings.schema.json. No prose, no summary, no restated instructions. One object, one array of findings.

Shared rules, dispatch contract and schemas: skills/a11y-core/SKILL.md. Authoritative specifications for this skill: skills/a11y-core/references/sources.md.

Bundled files

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

Frequently asked questions

What does the Text Quality Reviewer AI skill do?

Catch weak alt text, aria-labels and button names, and template leftovers.

Why use Text Quality Reviewer on TypingMind?

Because you install it once and use it with any model. Text Quality Reviewer 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 Text Quality Reviewer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Community-Access/accessibility-agents/tree/main/skills/text-quality-reviewer. 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 Text Quality Reviewer?

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 Text Quality Reviewer?

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

Is the Text Quality Reviewer AI skill free?

Yes. It is published on GitHub by Community-Access 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 👇