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Audit Stories

Community
Owl-Listener
audit-stories

Audit user stories for disability inclusion. Chains: inclusive-user-stories, edge-case-identification. Use when reviewing an existing backlog, sprint, or set of user stories to check whether they account for diverse abilities.

Overview

PublisherOwl-Listener
Repositoryinclusive-design-skills
Skill nameaudit-stories
Stars
108
Forks
28
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 Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Audit Stories 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/Owl-Listener/inclusive-design-skills/tree/main/inclusive-personas/skills/audit-stories
  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/Owl-Listener/inclusive-design-skills.git /tmp/inclusive-design-skills
mkdir -p .claude/skills
cp -r /tmp/inclusive-design-skills/inclusive-personas/skills/audit-stories .claude/skills/audit-stories
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Audit Stories 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 Stories 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 Stories 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.

Audit User Stories for Inclusion

Review an existing set of user stories and identify where disability and diverse abilities have been overlooked — then add the missing criteria without creating separate accessibility tickets.

Process

Step 1: Gather Stories

Collect the user stories to audit. This could be a sprint backlog, a feature's full story set, or an epic.

Step 2: Check Each Story

Using inclusive-user-stories, review each story's acceptance criteria for:

  • Keyboard operability
  • Screen reader support
  • Visual accessibility (contrast, colour independence, zoom)
  • Motor accessibility (target size, timing, precision)
  • Cognitive accessibility (plain language, error recovery, undo)

Flag any story where one or more of these are missing.

Step 3: Check for Assumption Bias

Using edge-case-identification, for each story ask:

  • What input method does this assume?
  • What sensory ability does this assume?
  • What cognitive capacity does this assume?
  • What context does this assume?
  • What "edge cases" have been dismissed that are daily reality for some users?

Step 4: Add Missing Criteria

For each flagged story, write the specific acceptance criteria that need to be added. Don't create separate stories — add directly to the existing ones.

Output

Deliver an audit report:

  1. Summary — number of stories reviewed, number with gaps, most common gap type
  2. Story-by-story findings — each story with its missing criteria listed
  3. Added criteria — the specific acceptance criteria to add to each story, ready to paste into the backlog
  4. Patterns — recurring gaps that suggest a systemic issue (e.g., "no story in this sprint mentions keyboard access")

Frequently asked questions

What does the Audit Stories AI skill do?

Audit user stories for disability inclusion. Chains: inclusive-user-stories, edge-case-identification. Use when reviewing an existing backlog, sprint, or set of user stories to check whether they account for diverse abilities.

Why use Audit Stories on TypingMind?

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

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

Which AI models can use Audit Stories?

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 Stories?

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

Is the Audit Stories 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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