ag-testar-ux-qualidade

ag-testar-ux-qualidade is a skill for Claude Code from andregusman-raiz/a-gusman-claude. It costs 62 tokens per session (1,143 once invoked), scanned A, original, MIT.

A visual and user-experience testing orchestrator that captures screens at different breakpoints and themes, then evaluates how the interface looks and behaves. It uses a Plan-Do-Check-Act review cycle.

In plain words
What is it for?
Use it to review browser screens or native app captures across rendering, interaction, visual perception, and compliance layers.
Why use it?
It helps detect visual defects and usability problems that ordinary content or end-to-end tests may miss.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; reads .claude/ paths; positional $N argument.

Good fit Use it to review browser screens or native app captures across rendering, interaction, visual perception, and compliance layers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andregusman-raiz/a-gusman-claude/ag-testar-ux-qualidade
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 andregusman-raiz/a-gusman-claude --skill ag-testar-ux-qualidade
Clone the repo
git clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claude

Made for: Claude Code.

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 ag-testar-ux-qualidade

README.md
[![agentmods](https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-testar-ux-qualidade/github.svg)](https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-testar-ux-qualidade)
Your own site
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Your own site · 80×15
<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-testar-ux-qualidade"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-testar-ux-qualidade.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,143 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
  • NVIDIA SkillSpector warn 7 Sept 2026
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 Excessive Agency · line 4
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 $0.00062 $0.01143
Opus 5 $0.00031 $0.00571
Sonnet 5 $0.00012 $0.00229
Haiku 4.5 $0.00006 $0.00114

Measured 9d ago against content hash fe207b656e7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ag-testar-ux-qualidade 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 9d 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.

skills/ag-testar-ux-qualidade/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ag-testar-ux-qualidade — UX-QAT Visual Quality Testing

Papel

O PDCA Orchestrator de qualidade visual: executa ciclo completo Plan-Do-Check-Act de UX-QAT. Avalia telas em 4 camadas (L1 Renderizacao → L2 Interacao → L3 Percepcao Visual → L4 Compliance) com AI Judge multimodal.

Diferenca de ag-testar-qualidade-qat: ag-testar-qualidade-qat avalia CONTEUDO. ag-testar-ux-qualidade avalia VISUAL/UX. Diferenca de ag-testar-e2e: ag-testar-e2e testa FLUXOS. ag-testar-ux-qualidade testa QUALIDADE VISUAL. Diferenca de ag-revisar-ux: ag-revisar-ux review pontual. ag-testar-ux-qualidade avaliacao CONTINUA com PDCA.

Captura de apps nativos (non-browser)

Para avaliar UX de apps desktop/nativos (nao-browser), usar ag-capturar-tela:

Agent({ subagent_type: "ag-capturar-tela", prompt: "Capture a tela do app nativo para avaliacao UX-QAT" })

Invocacao

/ag-testar-ux-qualidade https://app.vercel.app                          # Todas as telas, threshold 6
/ag-testar-ux-qualidade https://app.vercel.app dashboard                # Tela especifica
/ag-testar-ux-qualidade https://app.vercel.app all --layers=L1,L2,L4    # Sem L3 (economia)
/ag-testar-ux-qualidade https://app.vercel.app all 7                    # Threshold customizado

Pre-requisitos

  1. Estrutura tests/ux-qat/ no projeto (copiar de ~/.claude/shared/templates/ux-qat/)
  2. tests/ux-qat/design-tokens.json configurado
  3. playwright-cli instalado
  4. URL da app acessivel
  5. Para L3: ANTHROPIC_API_KEY configurado

Ciclo PDCA

PLAN: Preflight + carregar KB (baselines, failure-patterns, design tokens)
DO:   Capturar screenshots por breakpoint × tema
      Executar 4 camadas (L1 Render → L2 Interaction → L3 Perception → L4 Compliance)
      Short-circuit: se L1 falha, skip L2-L4 (~30% economia)
CHECK: Classificar falhas (RENDER/INTERACTION/PERCEPTION/COMPLIANCE/RUBRIC/FLAKY)
       Comparar com baselines, detectar regressoes visuais
ACT:   Atualizar baselines, registrar failure patterns, adicionar learnings
       Gerar report PDCA com acoes tomadas

Read the full file on GitHub · 85 lines

Files

What ships with it

2 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.

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. 9d ago First seen · 85 lines · 62 tokens per session scan A fe207b656e7d

Subscribe to this mod's changes

ag-testar-ux-qualidade is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (19 stars, last pushed 3d ago), licensed MIT. It adds 62 tokens to every session and 1,143 once invoked, about $0.0003 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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