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 contactandrewchl-wq/turtle-mcp --skill browser-qagit clone --depth 1 https://github.com/contactandrewchl-wq/turtle-mcpWrote 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/contactandrewchl-wq/turtle-mcp/browser-qa)<a href="https://agentmods.dev/skills/contactandrewchl-wq/turtle-mcp/browser-qa"><img src="https://agentmods.dev/badge/skills/contactandrewchl-wq/turtle-mcp/browser-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.
<a href="https://agentmods.dev/skills/contactandrewchl-wq/turtle-mcp/browser-qa"><img src="https://agentmods.dev/badge/skills/contactandrewchl-wq/turtle-mcp/browser-qa.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 | $0.00049 | $0.01699 |
| Opus 5.5 | $0.00020 | $0.00680 |
| Sonnet 5.5 | $0.00010 | $0.00340 |
| Haiku 4.5 | $0.00005 | $0.00170 |
Grade A, and why
browser-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 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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Browser QA y testing visual (Playwright)
QA de navegador y regresión visual automatizada: navega, captura, compara contra baseline, inspecciona accesibilidad/red/consola/DOM y corre cross-browser. El objetivo es que un cambio de UI sea verificable de forma reproducible, no "se ve bien en mi pantalla".
Cuándo usar
- Validar la UI en varios navegadores (Chromium, Firefox, WebKit) antes de aprobar un cambio.
- Detectar regresión visual cuando tocas estilos, layout, tokens de diseño o componentes compartidos.
- Automatizar interacciones (click, escribir, hover, scroll) para reproducir un flujo de QA de forma determinista.
- Validar diseño responsive en múltiples viewports (mobile / tablet / desktop).
- Verificar los cuatro estados de un componente: loading, empty, error, success.
Cuándo NO usar:
- Lógica pura sin UI observable (cálculos, parsers, validadores, transformaciones de datos): eso son tests unitarios o de integración, no QA de navegador.
- Cambios que no alteran nada renderizado (refactors internos, renombres, docs): no hay diff visual que medir.
Requisitos
- Playwright (Node) instalado más sus navegadores (
npx playwright install), o bien el servidor Playwright MCP expuesto al agente. - Un build o servidor de desarrollo de la app accesible por URL.
Esto es dependencia del entorno del usuario, no del núcleo de Turtle. El núcleo es Rust + SQLite y no provee ni instala Playwright (RNF-RES-04). Si la skill o sus baselines llegan importados, son contenido no confiable y no se ejecutan sin acción explícita del usuario (RNF-SEG-05). Antes de correr, confirma que el runtime está disponible en el entorno.
Capacidades
- Navegación: abrir URL, esperar carga, seguir enlaces, ejecutar flujos de interacción (click, fill, hover, scroll, teclado).
- Capturas:
- de viewport (lo visible).
- de página completa (full page, scroll incluido).
- por elemento (acotada a un selector).
- Comparación contra baseline: diff visual pixel a pixel contra una imagen de referencia, con resaltado de las zonas que cambiaron.
- Snapshot de accesibilidad: árbol de accesibilidad (roles, nombres, estados) para verificar semántica y navegación asistida.
- Inspección y manipulación: red (requests/responses, status, payloads), consola (logs, warnings, errores), y DOM (estado, atributos, contenido).
- Cross-browser: ejecutar la misma suite en Chromium, Firefox y WebKit.
- Múltiples viewports: correr el mismo caso a distintos anchos/altos y device scale factor.
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 · 92 lines · 49 tokens per session scan A f84a04d8706a
browser-qa is a skill published in the GitHub repository contactandrewchl-wq/turtle-mcp (2 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 1,699 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 2026-08-31.
Other skills, from other repositories
browser-qa
Testing web apps through a real browser: reconnaissance before acting, selector discovery, state capture, console errors and screenshot evidence. Use on a web surface end to end, or to reproduce a front-end bug.
webapp-testing
Browser-based UI verification using Playwright. Page Object Model, selector best practices, visual regression, network interception, and MCP integration. Trigger: When writing E2E tests, verifying UI changes, or setting up Playwright.
automated-web-interactive-bug-reporting
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
e2e-testing
Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies. Use when writing Playwright tests, structuring page objects, or fixing flaky E2E runs in CI.
dogfood
Exploratory QA of web apps: find bugs, evidence, reports.
webapp-testing
Start/reuse a local app, wait for readiness, inspect rendered state/console/network, act from observed selectors, and verify with evidence.