accessibility-engine: Instructions file for Claude Code

CLAUDE.md

accessibility-engine CLAUDE.md is an instructions file for Claude Code from Elizabeth1979/accessibility-engine. It costs 533 tokens per session, scanned A, original, MIT.

A set of rules for an accessibility testing engine that checks whether web content is accessible and explains suitable fixes. It uses captured page evidence and can combine normal accessibility checks with AI-based judgements.

In plain words
What is it for?
Use it when developing or maintaining the engine's accessibility checks, evidence capture, AI judgements, MCP tools, triage, or fixes.
Why use it?
It prevents unsupported conclusions, such as treating an unknown or advisory result as a pass, and keeps the engine's package boundaries intact.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is Elizabeth1979/accessibility-engine's own configuration. It tells Claude Code how to work on accessibility-engine itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything accessibility-engine configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Elizabeth1979/accessibility-engine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Elizabeth1979/accessibility-engine/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Elizabeth1979/accessibility-engine

Made for: Claude Code.

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Per session 533 This file is loaded in full into every session.
When invoked 533 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00533 $0.00533
Opus 5.5 $0.00213 $0.00213
Sonnet 5.5 $0.00107 $0.00107
Haiku 4.5 $0.00053 $0.00053

Measured 2mo ago against content hash c86321e4b2b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

accessibility-engine CLAUDE.md 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 2mo 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.md · 21 lines

How it starts

The opening of the file, as written. The whole thing — 21 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Accessibility Evidence Engine — agent guide

AI-first accessibility testing: AI elevates each check from "is the attribute present?" to "is it correct in context, and here's a better value." Implemented end to end across Tiers 1–5 (naming, vision, dynamic, the axe-core floor, advisory) and verified on a local model; the engine, the agent surfaces (MCP, triage), and remediation (fix) are real. See docs/ROADMAP.md for current state and what's next, and docs/PLAN.md for the architecture.

Frozen invariants (do not break)

  • AI sees captured evidence only, never the live page. @aee/ai depends on @aee/core only. tests/graph-guard.test.js enforces this and the other graph edges — keep it green. The only package allowed to depend on both a driver (@aee/playwright) and the judges is @aee/engine.
  • Verdicts never silently upgrade: UNKNOWN and advisory results must never become PASS.

Defaults

  • Local-first, no API key. The AI layer is provider-agnostic (the JudgmentModel seam). For local runs set AEE_LLM_PROVIDER=local (Ollama gemma4:e4b by default; see README). claude and stub providers also exist; with no key the default is stub, and a local judgment degrades to UNKNOWN if the server is down — never a guessed PASS.
  • Tests: pnpm test runs node --test over built dist/. Each change leaves a green build. Browser and local-model tests are gated (they skip when a browser / local server is unavailable).
  • Runs are in-memory by default. Set AEE_STORE_DIR to persist runs + their content-addressed artifacts to disk so they survive across processes; the engine still resolves artifact refs before the AI (the evidence-only invariant holds either way).

Conventions

  • TypeScript ESM, NodeNext resolution, .js import extensions, zod as the single schema source of truth (types via z.infer).
  • Plans and docs: clean reflowable markdown (no hard-wrapped "bricks", no changelog sections), committed in-repo.
  • Commit and push only when asked. The repo has a GitHub remote (origin → github.com/Elizabeth1979/accessibility-engine, public); commits land on main.

Read the full file on GitHub · 21 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. 2mo ago First seen · 21 lines · 533 tokens per session scan A c86321e4b2b1

Subscribe to this mod's changes

accessibility-engine CLAUDE.md is an instructions file published in the GitHub repository Elizabeth1979/accessibility-engine (0 stars, last pushed 1mo ago), licensed MIT. It adds 533 tokens to every session, about $0.0021 per session on Opus 5.5. 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 2026-08-31.

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