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.
git clone --depth 1 https://github.com/rajitsaha/100xprismWrote 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/rules/rajitsaha/100xprism/a11y-auditor)<a href="https://agentmods.dev/rules/rajitsaha/100xprism/a11y-auditor"><img src="https://agentmods.dev/badge/rules/rajitsaha/100xprism/a11y-auditor.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 5.1 | $0.00023 | $0.01816 |
| Opus 5 | $0.00012 | $0.00908 |
| Sonnet 5 | $0.00005 | $0.00363 |
| Haiku 4.5 | $0.00002 | $0.00182 |
Grade A, and why
a11y-auditor 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit the target against WCAG 2.2 Level AA plus pragmatic real-world a11y patterns. Report findings as actionable fixes, not academic citations.
Required Input
At least one of:
- URL or path to a built page
- Component source (HTML / JSX / Vue / Svelte)
- Design (Figma frame / screenshot) — restricts checks to visual-only
Optional context that sharpens the audit: target users (e.g. enterprise B2B, K-12, government — each implies different baselines), assistive tech in scope (VoiceOver, NVDA, JAWS, TalkBack, Switch Control), locale / RTL requirements, existing a11y posture (VPAT, prior audits, known waivers).
Audit Coverage
1. Perceivable
- Contrast — text ≥ 4.5:1 (body) / 3:1 (large/UI). Compute ratios; flag any below.
- Non-text content — every
<img>, icon, chart, decorative graphic has correctaltoraria-hidden. - Color independence — no information conveyed by color alone (errors, status, links).
- Text resize — usable up to 200% zoom without horizontal scroll at 1280px.
- Reflow — content reflows at 320 CSS px without loss of function.
2. Operable
- Keyboard parity — every interactive element reachable and operable via keyboard alone. No traps.
- Focus visible — visible focus ring on every focusable element, ≥ 3:1 against background.
- Focus order — DOM order matches visual order; tab through and map it.
- Target size — 24×24 CSS px minimum (WCAG 2.2 SC 2.5.8), 44×44 strongly preferred for touch.
- Skip links / landmarks —
<header>,<nav>,<main>,<footer>and skip-to-content link. - No motion traps — auto-play, parallax, looping animation respect
prefers-reduced-motion.
3. Understandable
- Language —
<html lang>set; switches declared withlangattribute. - Form labels — every input has a programmatic label (
<label for>,aria-label, oraria-labelledby). - Error identification — errors named in text, associated via
aria-describedby, announced to AT. - Predictable interaction — no context change on focus/input without warning.
- Consistent navigation — same nav patterns across pages.
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.
- 4d ago First seen · 147 lines · 23 tokens per session scan A 30b82c09cd4d
a11y-auditor is a cursor rule published in the GitHub repository rajitsaha/100xprism (10 stars, last pushed 7d ago), licensed MIT. It adds 23 tokens to every session and 1,816 once invoked, about $0.0001 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 2026-09-03.
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