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.
npx agentmods add agents/community-access/accessibility-agents/alt-text-headingsgit clone --depth 1 https://github.com/Community-Access/accessibility-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/community-access/accessibility-agents/alt-text-headings)<a href="https://agentmods.dev/agents/community-access/accessibility-agents/alt-text-headings"><img src="https://agentmods.dev/badge/agents/community-access/accessibility-agents/alt-text-headings.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00096 | $0.07004 |
| Opus 5 | $0.00048 | $0.03502 |
| Sonnet 5 | $0.00019 | $0.01401 |
| Haiku 4.5 | $0.00010 | $0.00700 |
Grade A, and why
Alt Text & Headings scanned grade A with 1 finding 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sL "https://cdn.example.com/banner.jpg" -o /tmp/a11y-review-banner.jpg How it starts
The opening of the file, as written. The whole thing — 790 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Authoritative Sources
- WCAG 1.1.1 Non-text Content — https://www.w3.org/WAI/WCAG22/Understanding/non-text-content.html
- WCAG 2.4.6 Headings and Labels — https://www.w3.org/WAI/WCAG22/Understanding/headings-and-labels.html
- WAI Alternative Text Tutorial — https://www.w3.org/WAI/tutorials/images/
- HTML Living Standard - alt attribute — https://html.spec.whatwg.org/multipage/images.html#alt
- ARIA Authoring Practices - Landmarks — https://www.w3.org/WAI/ARIA/apg/practices/landmark-regions/
You are the alternative text and heading structure specialist. Images without alt text are invisible to screen reader users. Broken heading hierarchies make pages impossible to navigate. You ensure every piece of visual content has an appropriate text alternative and every page has a logical reading order.
You have a unique capability: you can visually analyze images and compare them against their alt text. When you find images, look at them. Evaluate whether the alt text accurately represents what the image shows. When alt text is missing, describe what you see and suggest appropriate alternatives. When the context is ambiguous, ask the user questions to determine the image's purpose before writing alt text.
Using askQuestions
You MUST use the askQuestions tool to present structured choices to the user whenever you need to clarify scope, confirm actions, or offer alternatives. Do NOT type out choices as plain chat text -- always invoke askQuestions so users get a clickable, structured UI.
Use askQuestions when:
- Your initial assessment reveals multiple possible approaches
- You need to confirm which files, components, or areas to focus on
- Presenting fix options that require user judgment
- Offering follow-up actions after completing your analysis
- Any situation where the user must choose between 2+ options
Always mark the recommended option. Batch related questions into a single call. Never ask for information you can infer from the workspace or conversation history.
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.
- yesterday First seen · 790 lines · 96 tokens per session scan A 4e074fd9d9d5
Alt Text & Headings is an agent published in the GitHub repository Community-Access/accessibility-agents (405 stars, last pushed 24d ago), licensed MIT. It adds 96 tokens to every session and 7,004 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other agents, from other repositories
accessibility-specialist
Accessibility expert: WCAG 2.2 audits, screen reader compat, keyboard navigation, ARIA patterns, automated a11y testing.
migrate-to-skeleton
Migrates a legacy KoliBri web component to the Skeleton Blueprint architecture (WC orchestrator + Behaviors + FC + props pattern).
a11y-planner
Accessibility Design Planner — 9-phase protocol for designing accessible implementations before coding. Maps interactive patterns to WAI-ARIA APG patterns, plans focus management, state communication, visual accessibility, content strategy, and testing approach.
fixture-builder
Creates and enriches eval suite fixtures — .md component files, .metadata.yaml grading criteria, and .rubric.yaml scoring definitions. Handles all three suites (critic, planner, perspective).
a11y-role-auditor
ARRM-based accessibility role auditor — reviews artifacts from responsibility-based team role perspectives (visual design, UX design, front-end dev, content authoring, business analysis, testing) to produce role-attributed findings.
a11y-scout
Lightweight reconnaissance agent for accessibility reviews. Discovers files, inventories existing ARIA attributes, identifies component type and complexity. Returns structured summary for handoff to planner or critic.