Preference Audit

Community

Owl-Listener

preference-audit

Audit an existing interface for respect of user preferences including motion, contrast, colour scheme, and text scaling. Chains: user-preference-respect, responsive-accessibility, colour-independence. Use when reviewing an existing product for adaptive behaviour.

Overview

Publisher	Owl-Listener
Repository	`inclusive-design-skills`
Skill name	`preference-audit`
Stars	108
Forks	28
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Preference Audit 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/Owl-Listener/inclusive-design-skills/tree/main/adaptive-interfaces/skills/preference-audit
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Owl-Listener/inclusive-design-skills/tree/main/adaptive-interfaces/skills/preference-audit

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/Owl-Listener/inclusive-design-skills.git /tmp/inclusive-design-skills
mkdir -p .claude/skills
cp -r /tmp/inclusive-design-skills/adaptive-interfaces/skills/preference-audit .claude/skills/preference-audit

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

Use it in TypingMind

Enable Preference 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 Preference 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 Preference 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.

User Preference Audit

Test whether an existing interface correctly detects and responds to user preferences — the accessibility settings people have deliberately chosen.

Process

Step 1: Test Motion Preferences

Using user-preference-respect, enable prefers-reduced-motion and navigate the entire interface. Document:

Animations that continue playing
Transitions that still slide or fade
Parallax effects that remain active
Autoplay video or carousels that don't stop
Any motion that serves no functional purpose

Step 2: Test Contrast and Colour Preferences

Enable prefers-contrast (more) and forced-colors mode. Using user-preference-respect and colour-independence, document:

Elements that become invisible or indistinguishable
Focus indicators that disappear
Interactive elements that lose their borders
Colour-only status indicators that become meaningless
Charts or visualisations that become unreadable

Step 3: Test Colour Scheme

Switch between light and dark modes. Document:

Content that becomes illegible in one mode
Images or icons that don't adapt
Hardcoded colours that clash with the theme
Contrast failures specific to one mode

Step 4: Test Text Scaling and Zoom

Using responsive-accessibility, test at 200% browser zoom and with system font size at maximum. Document:

Text that overflows or gets clipped
Layouts that break or overlap
Horizontal scrolling that appears
Fixed-height containers that truncate content
Interactive elements that become unreachable

Step 5: Test Combinations

Test realistic combinations:

Dark mode + high contrast + reduced motion
200% zoom + large system font
Forced colours + reduced motion

Document any failures that only appear in combination.

Output

Deliver an audit report:

Summary — which preferences are respected, which are ignored
Preference-by-preference findings — specific failures for each
Combination failures — issues that appear only when multiple preferences are active
Fix list — prioritised by severity and number of users affected

Severity definitions:

Critical — preference is completely ignored, causing harm or blocking access
Major — preference is partially respected, significant gaps remain
Minor — preference is mostly respected, edge cases need fixing

Frequently asked questions

What does the Preference Audit AI skill do?

Why use Preference Audit on TypingMind?

Because you install it once and use it with any model. Preference 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 Preference Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/inclusive-design-skills/tree/main/adaptive-interfaces/skills/preference-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Preference 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 Preference Audit?

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

Is the Preference Audit AI skill free?

Yes. It is published on GitHub by Owl-Listener 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

User Preference Audit

Process

Step 1: Test Motion Preferences

Step 2: Test Contrast and Colour Preferences

Step 3: Test Colour Scheme

Step 4: Test Text Scaling and Zoom

Step 5: Test Combinations

Output

Frequently asked questions

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