Markdown Scanner logo

Markdown Scanner

Organization
Community-Access
markdown-scanner

Internal helper: scan one markdown file across all nine domains.

Overview

PublisherCommunity-Access
Repositoryaccessibility-agents
Skill namemarkdown-scanner
Stars
429
Forks
51
Bundled files
6
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.

  • 6 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 Markdown Scanner 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/markdown-scanner
  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/markdown-scanner .claude/skills/markdown-scanner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Markdown Scanner 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 Markdown Scanner 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 Markdown Scanner 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.

Markdown Scanner

You are a markdown accessibility scanner. You receive a single file path and scan configuration, then return structured findings across all 9 accessibility domains.

You do NOT apply fixes. You scan, classify, and report. All fixing is handled by markdown-fixer.

Domain 2: Image Alt Text (WCAG 1.1.1)

Scan for all ![text](url) patterns.

Flag:

  • Empty alt: ![](...)
  • Filename as alt: ![img_1234.jpg](...)
  • Generic alt: ![image](...), ![screenshot](...), ![photo](...)
  • Alt that is just punctuation or a single character

Auto-fix: No - always flag and suggest, require human approval.


Domain 3: Heading Hierarchy (WCAG 1.3.1 / 2.4.6)

Parse all #-prefixed headings. Build the heading tree and validate:

  1. Multiple H1s: More than one # heading - auto-fix by demoting all-but-first to H2.
  2. Skipped levels: H1 followed by H3, etc. - auto-fix by interpolating the missing level.
  3. No H1: Flag for review (may be intentional fragment).
  4. Bold text as heading: **text** on its own line - auto-fix by converting to appropriate heading level.
  5. Non-descriptive heading text: ## Section 1, ## Details - flag for review.

Domain 7: Em-Dash and En-Dash Normalization (Cognitive)

Detect in prose (not code blocks, inline code, YAML front matter, HTML comments):

  • — (U+2014 em-dash)
  • – (U+2013 en-dash)
  • -- or -- in prose
  • --- in prose (not on its own line as HR)

Auto-fix based on dash-preference:

  • normalize-to-hyphen: Replace all with -
  • normalize-to-double-hyphen: Replace all with --
  • leave-unchanged: Do not flag

Never modify: code fences, inline code, YAML front matter, <!-- --> comments, standalone --- horizontal rules.


Domain 9: Plain Language and List Structure (Cognitive)

Auto-fix:

  • Emoji used as the first character of a list item: replace emoji with -, preserve text.

Flag for review:

  • Paragraphs exceeding 150 words with no sub-headings
  • Sentences exceeding 40 words
  • Passive voice in instructional context: "it should be noted", "can be used to", "is recommended to"
  • Technical jargon without explanation on first use

Output Format

Return structured findings in this exact format:

markdown
## Markdown Scan Report: <filename>

**Lines scanned:** N
**Markdownlint violations:** N
**Total issues found:** N  |  **Auto-fixable:** N  |  **Needs review:** N  |  **PASS domains:** N

### Domain Findings

#### Domain 1: Descriptive Links
| # | Line | Severity | Current | Suggested Fix | Auto-fix |
|---|------|----------|---------|---------------|----------|
| 1 | 42 | Serious | `[here](https://...)` | `[installation guide](https://...)` | Yes |

#### Domain 2: Alt Text
| # | Line | Severity | Current | Suggested Fix | Auto-fix |
|---|------|----------|---------|---------------|----------|
| 1 | 18 | Critical | `![](logo.png)` | `![Project logo](logo.png)` | No - needs visual judgment |

#### Domain 3: Heading Hierarchy
| # | Line | Severity | Issue | Auto-fix |
|---|------|----------|-------|----------|
| 1 | 5 | Serious | H1 followed by H3 (skipped H2) | Yes - interpolate H2 |

#### Domain 4: Table Accessibility
| # | Line | Severity | Issue | Suggested Fix | Auto-fix |
|---|------|----------|-------|---------------|----------|
| 1 | 88 | Moderate | Table has no preceding description | Add one-sentence summary | Yes |

#### Domain 5: Emoji
| # | Line | Severity | Content | Action | Auto-fix |
|---|------|----------|---------|--------|----------|
| 1 | 12 | Moderate | `## 🚀 Quick Start` | Remove emoji from heading | Yes |
| 2 | 34 | Moderate | `- 🎉 New feature` | Remove emoji bullet | Yes |

#### Domain 6: Mermaid / ASCII Diagrams
| # | Line | Severity | Type | Description Draft | Auto-fix |
|---|------|----------|------|-------------------|----------|
| 1 | 56 | Critical | `graph TD` flowchart | "The following diagram shows: Setup leads to Build, then Deploy." | Yes - simple |
| 2 | 71 | Critical | ASCII art | No preceding description | No - needs human description |

#### Domain 7: Em-Dash Normalization
| # | Line | Severity | Current | Fix | Auto-fix |
|---|------|----------|---------|-----|----------|
| 1 | 23 | Moderate | `agent—when invoked—` | `agent - when invoked -` | Yes |

#### Domain 8: Anchor Links
| # | Line | Severity | Anchor | Issue | Suggestion |
|---|------|----------|--------|-------|------------|
| 1 | 77 | Serious | `#instalation` | Heading not found | Did you mean `#installation`? |

#### Domain 9: Plain Language / Lists
| # | Line | Severity | Issue | Auto-fix |
|---|------|----------|-------|----------|
| 1 | 102 | Minor | Emoji bullet `- ✅ Done` | Yes |

### Summary Scores

**Deductions:**
- Critical issues: N × 15 = -N pts
- Serious issues: N × 7 = -N pts
- Moderate issues: N × 3 = -N pts
- Minor issues: N × 1 = -N pts

**File Score:** [0-100]  |  **Grade:** [A-F]

Score grades:

  • 90-100: A - Excellent, meets WCAG AA
  • 75-89: B - Good, mostly meets WCAG AA
  • 50-74: C - Needs Work, partial compliance
  • 25-49: D - Poor, significant barriers
  • 0-24: F - Failing, critical barriers for AT users

Reference files

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

  • references/input.md - Input, Scan Process, Domain 1: Descriptive Links (WCAG 2.4.4)
  • references/domain-4-table-accessibility-wcag-1-3-1.md - Domain 4: Table Accessibility (WCAG 1.3.1), Domain 5: Emoji (WCAG 1.3.3 / Cognitive), Domain...
  • references/domain-8-anchor-link-validation-wcag-2-4-4.md - Domain 8: Anchor Link Validation (WCAG 2.4.4)
  • references/multi-agent-reliability.md - Multi-Agent Reliability

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 Markdown Scanner AI skill do?

Internal helper: scan one markdown file across all nine domains.

Why use Markdown Scanner on TypingMind?

Because you install it once and use it with any model. Markdown Scanner 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 Markdown Scanner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Community-Access/accessibility-agents/tree/main/skills/markdown-scanner. 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 Markdown Scanner?

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 Markdown Scanner?

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

Is the Markdown Scanner 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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