design-qa

design-qa is a skill for Claude Code from plugin87/ux-ui-agent-skills. It costs 71 tokens per session (646 once invoked), scanned A, original, MIT.

A set of automated and manual checks for interface quality, including accessibility, color contrast, visual changes, design values, themes, languages written right-to-left, and component states.

In plain words
What is it for?
Use it to create continuous-integration checks or review a component or screen before shipping.
Why use it?
It catches visual and accessibility regressions before an interface is released.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_SKILL_DIR} variable.

Part of the ux-ui-agent-skills plugin — 26 skills, 1 command, 1 agent, 3 hooks, 2 MCP servers shipped together

Good fit Use it to create continuous-integration checks or review a component or screen before shipping.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/plugin87/ux-ui-agent-skills/design-qa
About the project

UX/UI Agent Skills is a set of instructions, design tokens, reusable components, accessibility rules, and design-system references that guide Claude in producing interface designs and code. It is intended for developers and designers who want framework-independent, token-based UI work with accessibility checks. The catalogue entries package these UX, UI, component, and validation workflows as Claude Code skills and related add-ons.

plugin87/ux-ui-agent-skills · 3,006 stars · on GitHub · plugin87.github.io

Install

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.

Any agent
npx skills add plugin87/ux-ui-agent-skills --skill design-qa
Clone the repo
git clone --depth 1 https://github.com/plugin87/ux-ui-agent-skills

Made for: Claude Code.

Or install ux-ui-agent-skills, the plugin that ships this one along with the rest of its 26 skills, 1 command, 1 agent, 3 hooks, 2 MCP servers.

Wrote 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.

agentmods badge for design-qa

README.md
[![agentmods](https://agentmods.dev/badge/skills/plugin87/ux-ui-agent-skills/design-qa/github.svg)](https://agentmods.dev/skills/plugin87/ux-ui-agent-skills/design-qa)
Your own site
<a href="https://agentmods.dev/skills/plugin87/ux-ui-agent-skills/design-qa"><img src="https://agentmods.dev/badge/skills/plugin87/ux-ui-agent-skills/design-qa/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.

agentmods 80×15 button for design-qa

Your own site · 80×15
<a href="https://agentmods.dev/skills/plugin87/ux-ui-agent-skills/design-qa"><img src="https://agentmods.dev/badge/skills/plugin87/ux-ui-agent-skills/design-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 646 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 6 Oct 2026
  • Snyk pass 7 Oct 2026
How audits are shown
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 $0.00071 $0.00646
Opus 5.5 $0.00028 $0.00258
Sonnet 5.5 $0.00014 $0.00129
Haiku 4.5 $0.00007 $0.00065

Measured today against content hash 24519d802066, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

design-qa 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 today.

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/skills/design-qa/SKILL.md · 28 lines

How it starts

The opening of the file, as written. The whole thing — 28 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Design QA

Step 0: is the kit here? This skill reads files from the kit. Check once: ls ${CLAUDE_SKILL_DIR}/../../../tokens >/dev/null 2>&1 && echo KIT_OK || echo KIT_MISSING On KIT_MISSING only the skill folders were installed, which is what npx skills add does. Say so plainly, point the user at npx ux-ui-agent-skills init or the plugin install, and stop. Do not guess the contents of a file you could not open.

Stand up the automated + manual gates that stop quality from regressing.

Steps

  1. Read ${CLAUDE_SKILL_DIR}/../../../workflows/design-qa.md (the QA pyramid: token/lint gates → automated a11y → visual regression → manual a11y).
  2. Wire the fast gates first (every commit/PR): python3 ${CLAUDE_SKILL_DIR}/../../../scripts/validate_tokens.py, python3 ${CLAUDE_SKILL_DIR}/../../../scripts/validate_contrast.py (batch WCAG over the token pairs), and python3 ${CLAUDE_SKILL_DIR}/../../../scripts/lint_hardcodes.py <src> (no raw hex/px/timing in component code). The repo's .github/workflows/ci.yml runs these.
  3. Add automated a11y (axe-core / Pa11y) over each component's states (error/loading/disabled/expanded/selected), zero serious/critical to merge. Run the real-render contrast gate node ${CLAUDE_SKILL_DIR}/../../../scripts/gate.mjs measure_render.mjs <file.html> (and --dark). It opens the page in headless Chromium, disables transitions, and measures the true computed-style + alpha-composited contrast of every text element (catches what static token checks miss).
  4. Add visual regression snapshots across variants × sizes × states × light/dark + key breakpoints + RTL; freeze animations + deterministic data.
  5. Sign off the manual a11y checklist per release (keyboard, screen reader, 400% reflow, 200% text-spacing, reduced-motion, forced-colors; ${CLAUDE_SKILL_DIR}/../../../accessibility/*).

Verification (definition of done)

  • An unreviewed PR cannot introduce an unresolved token alias, a contrast failure, a raw hex/px, or an axe violation: a gate blocks each.
  • Snapshots cover dark mode + RTL + the semantic-changing states, not just the happy path.
  • Manual a11y checklist signed off for the release.

Read the full file on GitHub · 28 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. today Changed 24519d802066
  2. 19d ago Changed · +6 lines a42975ee6e6a
  3. 1mo ago First seen · 22 lines · 71 tokens per session scan A 6d9a53903736

Subscribe to this mod's changes

design-qa is a skill published in the GitHub repository plugin87/ux-ui-agent-skills (3,006 stars, last pushed today), licensed MIT. It adds 71 tokens to every session and 646 once invoked, about $0.0003 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 2026-08-30.

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