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 skills add JunMystery/Agent-Guidance-Python --skill frontend-a11ygit clone --depth 1 https://github.com/JunMystery/Agent-Guidance-PythonWrote 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/skills/junmystery/agent-guidance-python/frontend-a11y)<a href="https://agentmods.dev/skills/junmystery/agent-guidance-python/frontend-a11y"><img src="https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/frontend-a11y/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/junmystery/agent-guidance-python/frontend-a11y"><img src="https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/frontend-a11y.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00044 | $0.03019 |
| Opus 5.5 | $0.00018 | $0.01208 |
| Sonnet 5.5 | $0.00009 | $0.00604 |
| Haiku 4.5 | $0.00004 | $0.00302 |
Grade A, and why
frontend-a11y 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 1mo 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.
This is a copy
86% identical to frontend-a11y — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 446 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Accessibility Patterns
Practical accessibility patterns for React and Next.js. Covers the issues most commonly flagged in code review: missing form labels, incorrect ARIA usage, non-semantic interactive elements, and broken keyboard navigation.
When to Activate
- Building or reviewing form components (
<input>,<select>,<textarea>) - Creating interactive elements (modals, dropdowns, tooltips, tabs)
- Using
<div>or<span>withonClick - Adding
aria-*attributes to any element - Implementing keyboard navigation or focus management
- Receiving accessibility feedback from code review tools (CodeRabbit, ESLint a11y)
- Building components that must support screen readers
Form Accessibility
Missing htmlFor / id pairing and disconnected error messages are the most common issues flagged in code review.
Label Connection
// BAD: label has no connection to input — screen readers cannot associate them
<label>Email</label>
<input type="email" />
// GOOD: htmlFor matches input id
<label htmlFor="email">Email</label>
<input id="email" type="email" />
Required Fields
// BAD: visual-only asterisk conveys nothing to screen readers
<label htmlFor="email">Email *</label>
<input id="email" type="email" />
// GOOD: required enables native browser validation; aria-required signals it to screen readers
<label htmlFor="email">
Email <span aria-hidden="true">*</span>
</label>
<input id="email" type="email" required aria-required="true" />
Error Messages
// BAD: error text exists visually but is not linked to the input
<input id="email" type="email" />
<span className="error">Invalid email address</span>
// GOOD: aria-describedby connects input to its error message
// aria-invalid signals the invalid state to screen readers
<input
id="email"
type="email"
aria-describedby="email-error"
aria-invalid={!!error}
/>
{error && (
<span id="email-error" role="alert">
{error}
</span>
)}
Complete Accessible Form
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.
- 1mo ago First seen · 446 lines · 44 tokens per session scan A 431b8cbcc24f
frontend-a11y is a skill published in the GitHub repository JunMystery/Agent-Guidance-Python (2 stars, last pushed 3mo ago), licensed MIT. It adds 44 tokens to every session and 3,019 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 86% identical to frontend-a11y, differing in 28 lines, and is treated as a copy.
Other skills, from other repositories
common-architecture-diagramming
Draws architecture diagrams as editable draw.io files with a fixed house style, C4 levels, evidence-tagged shapes, and optional multi-view identity checks. Use when producing a system context, container, component, deployment, data flow, sequence, state, or ERD, or redrawing an ASCII or Mermaid one.
system-design-diagramming
Draw system diagrams in the Archify visual language: a typed JSON spec rendered as dark-canvas SVG with numbered lanes, semantic node colors, masked edge labels, and a legend. Covers architecture, workflow, sequence, dataflow, and lifecycle views. Use for any design-session diagram.
common-stitch-design
Drive Google Stitch over MCP safely - read screens, write and lint DESIGN.md, create design systems, and fix designs through variants instead of overwriting. Use when reviewing, editing, or generating Stitch screens or DESIGN.md files.
common-ui-design
Design distinctive, production-grade frontend UI with bold aesthetic choices. Use when building web components, pages, interfaces, dashboards, or applications in any framework (React, Next.js, Angular, Vue, HTML/CSS).
android-edge-to-edge
Migrate a Jetpack Compose app to edge-to-edge display and fix system bar inset issues. Use when UI components are obscured by navigation/status bars, fixing IME insets, or enabling edge-to-edge for SDK 35+.
common-mobile-animation
Apply motion design principles for mobile apps covering timing curves, transitions, gestures, and performance-conscious animations. Use when implementing screen transitions, gesture-driven interactions, shared-element animations, or optimizing animation frame rates on iOS, Android, or Flutter.