Kb Severity Mapping

Organization

Community-Access

kb-severity-mapping

Reference data, not a reviewer. Canonical severity level definitions and cross-domain mapping for web, document, and markdown audits. Score impact ranges, WCAG conformance alignment, and cross-format normalization.

Overview

Publisher	Community-Access
Repository	`accessibility-agents`
Skill name	`kb-severity-mapping`
Stars	429
Forks	51
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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.
1 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 Kb Severity Mapping 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/Community-Access/accessibility-agents/tree/main/skills/kb-severity-mapping
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/Community-Access/accessibility-agents/tree/main/skills/kb-severity-mapping

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/Community-Access/accessibility-agents.git /tmp/accessibility-agents
mkdir -p .claude/skills
cp -r /tmp/accessibility-agents/skills/kb-severity-mapping .claude/skills/kb-severity-mapping

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

Use it in TypingMind

Enable Kb Severity Mapping 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 Kb Severity Mapping 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 Kb Severity Mapping 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.

Severity Mapping

Canonical severity definitions shared across web, document, and markdown audit domains.

Canonical Severity Levels

Each level, with its definition, WCAG conformance and score impact.

Level	Definition	WCAG Conformance	Score Impact
Critical	Blocks access entirely for one or more user groups. No workaround exists.	Fails Level A	-15 to -22 points
Serious	Severely impairs access; a workaround may exist but is unreasonable.	Fails Level A or AA	-5 to -10 points
Moderate	Causes friction or confusion; most users can still complete the task.	Fails Level AA (advisory)	-2 to -4 points
Minor	Polish issue; no meaningful barrier for most users.	Technique deviation	-1 point

Cross-Domain Equivalents

Each canonical level, with its web (axe-core or playwright), document (office or PDF) and markdown.

Canonical Level	Web (axe-core / Playwright)	Document (Office/PDF)	Markdown
Critical	`critical` (axe-core)	Missing document title; untagged PDF; missing heading structure	Broken anchor link leading to dead navigation
Serious	`serious` (axe-core)	Missing alt text on informational image; table has no headers	Ambiguous link text (e.g., "click here"); missing alt text on image
Moderate	`moderate` (axe-core)	Merged table cells; color-only data encoding	Skipped heading level; missing table caption
Minor	`minor` (axe-core)	Decorative image with non-empty alt; redundant bookmark	Emoji in heading; em-dash used as list separator

Score Impact Rules

Score impacts listed above are additive per finding. When the same issue recurs across many elements:

First occurrence — full deduction
Same issue type, same page/file — no additional deduction (already counted once per issue rule)
Same issue type, different page/file — full deduction applies again to the new page/file score

Conversion Rules (Normalizing Cross-Domain Reports)

When generating a unified report that combines web, document, and markdown findings:

Map each finding to the canonical severity level using the table above.
Apply the score impact from the canonical level, not from the domain-specific tool's internal scoring.
For aggregated scores (portfolio or project level), compute each page/file score independently, then average.
Do not double-count a finding that appears in both an axe-core scan and a Playwright behavioral scan -- deduplicate by rule ID and element location.

Confidence Modifier (Web Domain)

For web audits, confidence level modifies the base deduction:

Confidence	Multiplier	Source Signals
Confirmed	1.2x	axe-core + agent code review + Playwright behavioral test
High (two sources)	1.0x	Any two of the three sources above
High (one source)	1.0x (reduced base)	Single automated tool, high rule reliability
Medium	0.7x	Single source, medium rule reliability
Low	0.3x	Single source, low rule reliability or heuristic

Document and markdown audits do not use confidence multipliers -- they use the base score impact only.

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

Frequently asked questions

What does the Kb Severity Mapping AI skill do?

Why use Kb Severity Mapping on TypingMind?

Because you install it once and use it with any model. Kb Severity Mapping 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 Kb Severity Mapping in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Community-Access/accessibility-agents/tree/main/skills/kb-severity-mapping. 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 Kb Severity Mapping?

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 Kb Severity Mapping?

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

Is the Kb Severity Mapping 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Severity Mapping

Canonical Severity Levels

Cross-Domain Equivalents

Score Impact Rules

Conversion Rules (Normalizing Cross-Domain Reports)

Confidence Modifier (Web Domain)

Bundled files

Frequently asked questions

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