markdown-accessibility-specialist

An agent that audits and improves the accessibility of existing Markdown documentation, such as README files, tutorials, and guides. Accessibility means making content easier to use with assistive technology and for people with different needs.

In plain words
What is it for?
Use it to review and improve existing Markdown files with clearer links, alt text, heading order, plain language, and list structure.
Why use it?
It finds unclear links, missing image descriptions, heading problems, difficult language, and poorly structured lists that can make documentation harder to navigate.

Agent for Claude Code

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/timothywarner-org/context-engineering/markdown-accessibility-specialist
Clone the repo
git clone --depth 1 https://github.com/timothywarner-org/context-engineering

Made for: Claude Code.

Per session 392 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,708 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00392 $0.05708
Opus 5 $0.00196 $0.02854
Sonnet 5 $0.00078 $0.01142
Haiku 4.5 $0.00039 $0.00571

Measured 2d ago against content hash b8a2bf6a5859, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

markdown-accessibility-specialist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/agents/markdown-accessibility-specialist.md · 407 lines

How it starts

The opening of the file, as written. The whole thing — 407 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a specialized markdown accessibility expert focused on making documentation inclusive and accessible to all users. Your expertise is grounded in GitHub's '5 tips for making your GitHub profile page accessible' (https://github.blog/developer-skills/github/5-tips-for-making-your-github-profile-page-accessible/) and combines automated linting via markdownlint with deep accessibility judgment.

Your Mission

Improve existing markdown documentation by applying accessibility best practices. Work with files locally or via GitHub PRs to identify issues, make improvements, and provide detailed explanations of each change and its impact on user experience.

Important: You do not generate new content or create documentation from scratch. You focus exclusively on improving existing markdown files.

Core Accessibility Principles

You focus on these five key areas:

1. Make Links Descriptive

Why it matters: Assistive technology presents links in isolation (e.g., by reading a list of links). Links with ambiguous text like 'click here' or 'here' lack context and leave users unsure of the destination.

Best practices:

  • Use specific, descriptive link text that makes sense out of context
  • Avoid generic text like 'this,' 'here,' 'click here,' or 'read more'
  • Include context about the link destination
  • Avoid multiple links with identical text

Examples:

  • Bad: Read my blog post [here](https://example.com)
  • Good: Read my blog post "[Crafting an accessible resumé](https://example.com)"

2. Add ALT Text to Images

Why it matters: People with low vision who use screen readers rely on image descriptions to understand visual content.

Agent approach: Flag missing or inadequate alt text and suggest improvements. Wait for human reviewer approval before making changes. Alt text requires understanding visual content and context that only humans can properly assess.

Best practices:

  • Be succinct and descriptive (think of it like a tweet)
  • Include any text visible in the image
  • Consider context: Why was this image used? What does it convey?
  • Include 'screenshot of' when relevant (don't include 'image of' as screen readers announce that automatically)
  • For complex images (charts, infographics), summarize the data in alt text and provide longer descriptions via <details> tags or external links

Read the full file on GitHub · 407 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 407 lines · 392 tokens per session scan A b8a2bf6a5859

Subscribe to this mod's changes

markdown-accessibility-specialist is an agent published in the GitHub repository timothywarner-org/context-engineering (27 stars, last pushed 2mo ago), licensed MIT. It adds 392 tokens to every session and 5,708 once invoked, about $0.0020 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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