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 YangsonHung/awesome-agent-skills --skill frontend-quality-guardrailsgit clone --depth 1 https://github.com/YangsonHung/awesome-agent-skillsWrote 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/yangsonhung/awesome-agent-skills/frontend-quality-guardrails)<a href="https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/frontend-quality-guardrails"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/frontend-quality-guardrails/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/yangsonhung/awesome-agent-skills/frontend-quality-guardrails"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/frontend-quality-guardrails.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.04161 |
| Opus 5 | $0.00016 | $0.02080 |
| Sonnet 5 | $0.00007 | $0.00832 |
| Haiku 4.5 | $0.00003 | $0.00416 |
Grade A, and why
frontend-quality-guardrails 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 12d 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 — 432 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Quality Guardrails
Overview
Use this skill as a frontend quality gate for UI implementation and review. It covers long text, overflow, wrapping, truncation, alignment, spacing, responsive behavior, component states, accessibility, internationalization, visual polish, project-level code review, browser screenshot verification, and common UI style pitfalls.
Treat every UI as hostile to perfect content. Assume labels, names, URLs, IDs, prices, translated strings, user input, errors, table cells, badges, breadcrumbs, tabs, and button text can be longer than the mockup.
Prefer small, local CSS/layout fixes over broad rewrites. Preserve the existing design system, component API, tokens, spacing scale, and framework conventions unless the user asks for a redesign.
When to Use
Use this skill when building, modifying, or reviewing frontend UI where layout quality matters, especially:
- Long text, URLs, IDs, translated strings, form errors, labels, table cells, cards, tabs, breadcrumbs, or badges may overflow.
- The task touches HTML, CSS, React, Vue, Svelte, Next.js, Tailwind, shadcn/ui, Ant Design, forms, tables, dashboards, modals, drawers, navigation, or responsive layouts.
- The user asks to polish UI, fix overflow, improve alignment, review frontend code, validate browser screenshots, or avoid frontend style pitfalls.
Do not use
Do not use this skill as the primary guide for:
- Backend-only, CLI-only, database-only, or infrastructure tasks with no visible UI.
- Full brand identity creation, illustration, logo design, or image generation.
- Pixel-perfect implementation from a provided screenshot when a dedicated image-to-code or design reproduction skill is available.
- Accessibility audits that require formal WCAG scoring beyond implementation-level guardrails.
Instructions
Apply the workflow below as a guardrail layer on top of the project's existing frontend conventions. For simple changes, use the core checklist only. For deeper work, load the relevant reference file from the Deep References section.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 432 lines · 33 tokens per session scan A 27bc41d00321
frontend-quality-guardrails is a skill published in the GitHub repository YangsonHung/awesome-agent-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 4,161 once invoked, about $0.0002 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 2026-08-30.
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