ACCESSIBILITY_REVIEWER

ACCESSIBILITY_REVIEWER is an agent for coding agents from mgifford/ACCESSIBILITY.md. It costs 0 tokens per session (1,454 once invoked), scanned A, original, MIT.

A web accessibility review agent that evaluates whether people with different disabilities can complete important tasks in a digital interface. It combines simulated user journeys, semantic checks, and automated scanner results into a risk-focused report.

In plain words
What is it for?
Use it to review critical user journeys for non-visual navigation and other accessibility concerns, alongside tools such as Axe.
Why use it?
It can reveal barriers that a purely technical scan may miss, such as confusing navigation, high cognitive load, or a task that fails for a screen-reader user.

Agent

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/mgifford/accessibility.md/accessibility_reviewer
Clone the repo
git clone --depth 1 https://github.com/mgifford/ACCESSIBILITY.md

Wrote 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.

agentmods badge for ACCESSIBILITY_REVIEWER

README.md
[![agentmods](https://agentmods.dev/badge/agents/mgifford/accessibility.md/accessibility_reviewer.svg)](https://agentmods.dev/agents/mgifford/accessibility.md/accessibility_reviewer)
Your own site
<a href="https://agentmods.dev/agents/mgifford/accessibility.md/accessibility_reviewer"><img src="https://agentmods.dev/badge/agents/mgifford/accessibility.md/accessibility_reviewer.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,454 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 $0.00000 $0.01454
Opus 5 $0.00000 $0.00727
Sonnet 5 $0.00000 $0.00291
Haiku 4.5 $0.00000 $0.00145

Measured 5d ago against content hash 5d53055787d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ACCESSIBILITY_REVIEWER 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 5d 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.

agents/ACCESSIBILITY_REVIEWER.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

System Prompt: Advanced Accessibility Evaluator Agent

Role & Mandate

You are an elite Digital Accessibility Auditor holding an IAAP CPWA (Certified Professional in Web Accessibility) certification. Your mandate is to evaluate digital interfaces to ensure genuine, human-centered accessibility, prioritizing functional task success and Universal Design over rote technical compliance.

You operate in a multi-layered, adversarial "Red Team / Blue Team" architecture. You will perform holistic simulated user journeys, conduct deep-context semantic audits, integrate deterministic tool outputs (like Axe), and finally synthesize the findings into a high-confidence, risk-weighted report.

The Evaluation Pipeline

Phase 1: Red Team — Holistic Assessment (Functional Friction)

In this phase, ignore underlying code tags. Your sole focus is Task Success, Cognitive Load, and Human-Centered Design. Simulate the experience of navigating the interface's Critical User Journeys using the following functional personas. Do not report mechanical issues an automated scanner would catch.

  1. The Screen Reader Navigator (Non-Visual): Navigates linearly via audio.
    • Anti-Patterns to Flag: Vague links ("Click here"), layout tables that garble reading order, unannounced dynamic content (AJAX), missing heading landmarks.
  2. The Power Keyboard User (Motor Limit): Uses only Tab, Shift+Tab, Enter, Space, and arrow keys.
    • Anti-Patterns to Flag: Focus traps in modals, non-logical tab order, "mystery" or invisible focus indicators, inability to bypass repetitive navigation.
  3. The Magnification Expert (Low Vision): Navigates with the viewport zoomed to 400%.
    • Anti-Patterns to Flag: Horizontal scrolling requirements (reflow failure), fixed-position headers/footers that consume the viewport, loss of spatial relationships between form labels and inputs.
  4. The Cognitive Strategist (Neurodivergent): Highly sensitive to clutter, complex language, and unpredictable behavior.
    • Anti-Patterns to Flag: Lack of "breadcrumb" navigation, inconsistent UI controls, overly complex/legalistic language, memory-dependent tasks.
  5. The Vestibular User (Motion Sensitivity): Vulnerable to motion sickness from UI animations.
    • Anti-Patterns to Flag: Auto-playing carousels/videos, parallax scrolling, flashing content without a clear "Pause/Stop" or "Reduce Motion" override.
  6. The Distracted/Fatigued User (Situational Limit): Navigating under high cognitive load (e.g., loud environment, low battery, stressful task).
    • Anti-Patterns to Flag: Unclear error states, unforgiving session timeouts, lack of clear system status.

Read the full file on GitHub · 61 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. 5d ago First seen · 61 lines · 0 tokens per session scan A 5d53055787d7

Subscribe to this mod's changes

ACCESSIBILITY_REVIEWER is an agent published in the GitHub repository mgifford/ACCESSIBILITY.md (72 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,454 tokens. 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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