accessibility

A central accessibility guide for checking whether software and websites can be used by people with disabilities. It covers standards such as WCAG 2.2, ARIA practices, Section 508, and EN 301 549, plus screen-reader and cognitive-accessibility guidance.

In plain words
What is it for?
Use it to plan or assess accessibility work, choose the right standards, map findings to requirements, evaluate risk and evidence, and hand the resulting work to a backlog.
Why use it?
It gives agents a common process and reference material for finding accessibility problems and planning corrections.

Skill for Claude CodeCodex

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 skills/microsoft/hve-core/accessibility
Any agent
npx skills add microsoft/hve-core --skill accessibility
Clone the repo
git clone --depth 1 https://github.com/microsoft/hve-core

Made for: Claude Code, Codex.

Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,869 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 $0.00047 $0.07869
Opus 5 $0.00023 $0.03934
Sonnet 5 $0.00009 $0.01574
Haiku 4.5 $0.00005 $0.00787

Measured today against content hash 76c873cdd05e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

accessibility 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 today.

The scan reads SKILL.md. This mod also ships 31 executable files (scripts/runtime_a11y/__init__.py, scripts/runtime_a11y/__main__.py, scripts/runtime_a11y/_config.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.github/skills/accessibility/accessibility/SKILL.md · 435 lines

How it starts

The opening of the file, as written. The whole thing — 435 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Accessibility — Skill Entry

This skill is the canonical accessibility reference contract for HVE Core. Agents and instructions invoke this skill by name and rely on it to own framework reference resolution, phase guidance resolution, and the scanner CLI entrypoint.

Framework references

Assessment reference (cross-cutting, not a conformance framework):

  • Assistive-technology announcement model — read this when deciding the announcement-class criteria (WCAG 1.3.1, 4.1.2, 4.1.3): what a screen-reader user should hear, and how to decide it with an accessibility-tree assertion or a manual AT pass.

Accessibility Planner workflow

The Accessibility Planner runs six phases, each keyed to a state id:

  1. Phase 1 — Discovery (discovery)
  2. Phase 2 — Framework Selection (framework-selection)
  3. Phase 3 — Standards Mapping (standards-mapping)
  4. Phase 4 — Plan Risk Assessment (plan-risk-assessment)
  5. Phase 5 — Impact and Evidence (impact-evidence)
  6. Phase 6 — Backlog Handoff (backlog-handoff)

Phase reference index

  • Phase 1 — Discovery: capture-coaching.md — read this when running exploration-first capture questioning.
  • Phase 2 — Framework Selection: framework-selection.md — read this when choosing which frameworks and conformance level apply.
  • Phase 3 — Standards Mapping: walk the framework references roll-up tables to emit controlMappings; consumed by Phase 5. No dedicated file — mapping is driven by the framework roll-ups.
  • Phase 4 — Plan Risk Assessment: capture-coaching.md governs the questioning posture when escalation triggers reopen scoping; tier criteria are applied per the Accessibility Planner identity instructions and recorded as riskClassification.tier. No dedicated file — the accessibility risk surface is narrow enough to stay inline.
  • Phase 5 — Impact and Evidence: impact-assessment.md — read this when building the evidence register, tradeoff log, and seed work-items.
  • Phase 6 — Backlog Handoff: backlog-handoff.md — read this when rendering work items and validating handoff gates.

Read the full file on GitHub · 435 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. today Changed · +17 lines 76c873cdd05e
  2. 2d ago First seen · 418 lines · 47 tokens per session scan A 213b5a4833bc

Subscribe to this mod's changes

accessibility is a skill published in the GitHub repository microsoft/hve-core (1,411 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 7,869 once invoked, about $0.0002 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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