AuC is a Python framework for running a single AI agent with an asynchronous, pluggable reasoning loop, language-model adapters, permission levels, and observable events. It is used to build coding and conversational agents with tools, security checks, web interfaces, background jobs, evaluations, and isolated execution. The catalogue entries are skills for extending its agent workflow.
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 ufy2024/AuC --skill frontend-a11ygit clone --depth 1 https://github.com/ufy2024/AuCWrote 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/ufy2024/auc/frontend-a11y)<a href="https://agentmods.dev/skills/ufy2024/auc/frontend-a11y"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/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/ufy2024/auc/frontend-a11y"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/frontend-a11y.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 23 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.03114 |
| Opus 5.5 | $0.00018 | $0.01246 |
| Sonnet 5.5 | $0.00009 | $0.00623 |
| Haiku 4.5 | $0.00004 | $0.00311 |
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.
Copies of this mod
6 near-identical copies found in the catalogue:
- frontend-a11y — 86% identical, 29 lines differ
- frontend-a11y — 86% identical, 28 lines differ
- frontend-a11y — 86% identical, 29 lines differ
- frontend-a11y — 86% identical, 29 lines differ
- frontend-a11y — 86% identical, 28 lines differ
- frontend-a11y — 86% identical, 31 lines differ
How it starts
The opening of the file, as written. The whole thing — 466 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 · 466 lines · 44 tokens per session scan A f51b6a79d76f
frontend-a11y is a skill published in the GitHub repository ufy2024/AuC (1,073 stars, last pushed 2mo ago), licensed MIT. It adds 44 tokens to every session and 3,114 once invoked, about $0.0002 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 2026-09-03.
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