Kb Report Generation

Q: Why use Kb Report Generation on TypingMind?

Because you install it once and use it with any model. Kb Report Generation 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.

Q: How do I install Kb Report Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Community-Access/accessibility-agents/tree/main/skills/kb-report-generation. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use Kb Report Generation?

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.

Q: How many AI models can I use with Kb Report Generation?

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

Q: Is the Kb Report Generation 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.

Q: 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.

Q: 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.

Organization

Community-Access

kb-report-generation

Reference data, not a reviewer. Format accessibility audit reports with severity scoring (0-100, A-F grades), scorecard computation, and compliance exports including VPAT/ACR and remediation priorities.

Overview

Publisher	Community-Access
Repository	`accessibility-agents`
Skill name	`kb-report-generation`
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 Report Generation 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-report-generation
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-report-generation

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-report-generation .claude/skills/kb-report-generation

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

Use it in TypingMind

Enable Kb Report Generation 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 Report Generation 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 Report Generation 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.

Report Generation

Report File

Default output: DOCUMENT-ACCESSIBILITY-AUDIT.md in the project root.

Required Sections

Every audit report MUST include these sections:

Audit Information - date, auditor, profile, scope, counts
Executive Summary - totals, pass rate, most common issue, effort estimate
Cross-Document Patterns - recurring issues, systemic failures
Findings by File - per-document issues with rule ID, severity, location, WCAG, impact, remediation
Findings by Rule (Cross-Reference) - rule-level aggregation across files
What Passed - acknowledge clean documents and categories
Remediation Priority - ordered by impact (Immediate / Soon / When Possible)
Accessibility Scorecard - per-document scores and grades
Metadata Dashboard - document properties health
Confidence Summary - breakdown by confidence level

Optional Sections (include when applicable)

Template Analysis - when batch scanning detects shared templates
Comparison Report - when re-scanning against a baseline
CI/CD Recommendations - when no config files exist

Severity Scoring Formula

text
Document Score = 100 - (sum of weighted findings)

Weights:
  Error (high confidence):   -10 points
  Error (medium confidence):  -7 points
  Error (low confidence):     -3 points
  Warning (high confidence):  -3 points
  Warning (medium confidence):-2 points
  Warning (low confidence):   -1 point
  Tips:                        0 points

Floor: 0 (minimum score)

Score Grades

Each score, with its grade and meaning.

Score	Grade	Meaning
90-100	A	Excellent - minor or no issues
75-89	B	Good - some warnings, few errors
50-74	C	Needs Work - multiple errors
25-49	D	Poor - significant accessibility barriers
0-24	F	Failing - critical barriers, likely unusable with AT

Organization Modes

Each mode, with description and best for.

Mode	Description	Best For
By file	Group all issues under each document	Small batches (< 10 files)
By issue type	Group all instances of each rule across documents	Seeing patterns
By severity	Critical first, then serious, moderate, minor	Prioritizing fixes

VPAT/ACR Compliance Export

Conformance Levels

Each level, with its criteria.

Level	Criteria
Supports	No findings for this WCAG criterion across any document
Partially Supports	Some documents pass, some fail
Does Not Support	All or most documents fail
Not Applicable	Criterion does not apply to scanned document types

Supported VPAT Editions

VPAT 2.5 (WCAG) - maps to WCAG 2.2 criteria
VPAT 2.5 (508) - maps to Revised Section 508 standards
VPAT 2.5 (EN 301 549) - maps to EU accessibility directive
VPAT 2.5 (INT) - International edition (all three combined)

Remediation Tracking

When comparing against a baseline audit report:

Status	Meaning
Fixed	Issue was in previous report but is now resolved
New	Issue was not in previous report but appears now
Persistent	Issue remains from previous report
Regressed	Issue was previously fixed but has returned

Progress Metrics

Issue reduction percentage: (fixed / previous_total) * 100
Score change: current_score - previous_score
Documents improved: count of documents with higher scores

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 Report Generation AI skill do?

Why use Kb Report Generation on TypingMind?

Because you install it once and use it with any model. Kb Report Generation 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 Report Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Community-Access/accessibility-agents/tree/main/skills/kb-report-generation. 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 Report Generation?

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 Report Generation?

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

Is the Kb Report Generation 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

Report Generation

Report File

Required Sections

Optional Sections (include when applicable)

Severity Scoring Formula

Score Grades

Organization Modes

VPAT/ACR Compliance Export

Conformance Levels

Supported VPAT Editions

Remediation Tracking

Progress Metrics

Bundled files

Frequently asked questions

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