How do I install the Ag Smoke Vercel skill?

Run npx skillmds@latest add aibot88/ag-smoke-vercel in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Ag Smoke Vercel safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Ag Smoke Vercel?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Ag Smoke Vercel free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Ag Smoke Vercel?

aibot88 (@aibot88) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Ag Smoke Vercel by aibot88 — Agent Skill

Name: Ag Smoke Vercel
Rating: 4.2 (5 reviews)
Author: aibot88

Ag Smoke Vercel

Smoke tests contra URL Vercel deployada (preview ou production). Verifica saude minima do deploy — homepage, assets, auth, console errors, performance. Usa Playwright CLI ou suite de smoke tests. Use apos cada deploy para garantir que nada quebrou.

aibot88 Updated Sep 9, 2026 3 repo stars

File contents

Deploy Info

Ultimo deploy: !vercel ls --limit 1 2>/dev/null | tail -1 || echo "vercel CLI not configured"

ag-smoke-vercel — Smoke Test Vercel

Papel

O Verificador de Deploy: executa checks minimos contra uma URL Vercel para garantir que o deploy esta saudavel. Rapido (< 2 min), focado, sem falsos positivos.

Diferenca de ag-testar-e2e: ag-testar-e2e testa fluxos completos. ag-smoke-vercel verifica apenas se o deploy esta vivo e funcional.

Instrucoes

Receba a URL do deploy Vercel (preview ou production)
Escolha modo: CLI (exploratorio) ou Suite (automatizado)
Verifique os fluxos criticos minimos:
- Homepage carrega sem erros
- Assets (CSS, JS, imagens) carregam (status 200)
- Auth flow funciona (login page acessivel)
- Navegacao principal acessivel
- Sem erros de console criticos (ignore HMR, DevTools, ResizeObserver)
- Performance: LCP < 5s
Capture screenshots de cada verificacao (modo CLI)
Reporte resultado

Modo 1: Suite Automatizada (preferido)

# rAIz-AI-Prof
PLAYWRIGHT_TEST_BASE_URL=[url] npx playwright test --project=smoke

# raiz-platform
PLAYWRIGHT_BASE_URL=[url] npx playwright test --project=smoke

Modo 2: CLI Exploratorio

Use playwright-cli para navegar na URL manualmente:

# 1. Abrir homepage e verificar carregamento
playwright-cli -s=smoke open [url]
playwright-cli -s=smoke snapshot
playwright-cli -s=smoke screenshot

# 2. Verificar console errors via eval
playwright-cli -s=smoke eval "window.__consoleErrors || []"

# 3. Navegar para login e verificar
playwright-cli -s=smoke goto [url]/login
playwright-cli -s=smoke snapshot
playwright-cli -s=smoke screenshot

# 4. Verificar navegacao principal
playwright-cli -s=smoke goto [url]/dashboard
playwright-cli -s=smoke snapshot

# 5. Performance check
playwright-cli -s=smoke eval "JSON.stringify(performance.getEntriesByType('navigation')[0])"

# 6. Capturar evidencia final
playwright-cli -s=smoke screenshot

# 7. Limpar sessao
playwright-cli -s=smoke close

Output: smoke-report.md

# Smoke Test — Vercel Deploy

## URL: [url]
## Timestamp: [data/hora]
## Resultado: PASS / FAIL

## Verificacoes
| Check | Status | Tempo | Observacao |
|-------|--------|-------|-----------|
| Homepage | OK/FAIL | Xms | |
| Assets | OK/FAIL | | N de N carregaram |
| Auth page | OK/FAIL | | |
| Navigation | OK/FAIL | | |
| Console errors | OK/FAIL | | N erros |
| Performance (LCP) | OK/FAIL | Xs | Threshold: 5s |

## Erros (se houver)
- [descricao do erro]

## Veredicto
[DEPLOY OK / DEPLOY COM PROBLEMAS / DEPLOY BLOQUEADO]

Interacao com outros agentes

ag-publicar-deploy: Chamado automaticamente apos deploy
ag-monitorar-producao: Se smoke falha, ag-monitorar-producao monitora e pode acionar rollback
ag-pipeline-deploy: Integrado como etapa final do deploy pipeline
ag-depurar-erro: Se smoke detecta problema, escalar para depuracao

Quality Gate

URL recebida e valida?
Todos os 6 checks executados?
Report gerado?
Se FAIL, proximo passo sugerido?

---name: ag-smoke-verceldescription: Smoke tests contra URL Vercel deployada (preview ou production). Verifica saude minima do deploy — homepage, assets, auth, console errors, performance. Usa Playwright CLI ou suite de smoke tests. Use apos cada deploy para garantir que nada quebrou.--- ## Deploy Info - **Ultimo deploy**: !`vercel ls --limit 1 2>/dev/null | tail -1 || echo "vercel CLI not configured"` # ag-smoke-vercel — Smoke Test Vercel ## Papel O Verificador de Deploy: executa checks minimos contra uma URL Vercel para garantir que o deploy esta saudavel. Rapido (< 2 min), focado, sem falsos positivos. Diferenca de ag-testar-e2e: ag-testar-e2e testa fluxos completos. ag-smoke-vercel verifica apenas se o deploy esta vivo e funcional. ## Instrucoes 1. **Receba** a URL do deploy Vercel (preview ou production) 2. **Escolha modo**: CLI (exploratorio) ou Suite (automatizado) 3. **Verifique** os fluxos criticos minimos: - Homepage carrega sem erros - Assets (CSS, JS, imagens) carregam (status 200) - Auth flow funciona (login page acessivel) - Navegacao principal acessivel - Sem erros de console criticos (ignore HMR, DevTools, ResizeObserver) - Performance: LCP < 5s 4. **Capture screenshots** de cada verificacao (modo CLI) 5. **Reporte** resultado ## Modo 1: Suite Automatizada (preferido) ```bash # rAIz-AI-Prof PLAYWRIGHT_TEST_BASE_URL=[url] npx playwright test --project=smoke # raiz-platform PLAYWRIGHT_BASE_URL=[url] npx playwright test --project=smoke ``` ## Modo 2: CLI Exploratorio Use `playwright-cli` para navegar na URL manualmente: ```bash # 1. Abrir homepage e verificar carregamento playwright-cli -s=smoke open [url] playwright-cli -s=smoke snapshot playwright-cli -s=smoke screenshot # 2. Verificar console errors via eval playwright-cli -s=smoke eval "window.__consoleErrors || []" # 3. Navegar para login e verificar playwright-cli -s=smoke goto [url]/login playwright-cli -s=smoke snapshot playwright-cli -s=smoke screenshot # 4. Verificar navegacao principal playwright-cli -s=smoke goto [url]/dashboard playwright-cli -s=smoke snapshot # 5. Performance check playwright-cli -s=smoke eval "JSON.stringify(performance.getEntriesByType('navigation')[0])" # 6. Capturar evidencia final playwright-cli -s=smoke screenshot # 7. Limpar sessao playwright-cli -s=smoke close ``` ## Output: smoke-report.md ```markdown # Smoke Test — Vercel Deploy ## URL: [url] ## Timestamp: [data/hora] ## Resultado: PASS / FAIL ## Verificacoes | Check | Status | Tempo | Observacao | |-------|--------|-------|-----------| | Homepage | OK/FAIL | Xms | | | Assets | OK/FAIL | | N de N carregaram | | Auth page | OK/FAIL | | | | Navigation | OK/FAIL | | | | Console errors | OK/FAIL | | N erros | | Performance (LCP) | OK/FAIL | Xs | Threshold: 5s | ## Erros (se houver) - [descricao do erro] ## Veredicto [DEPLOY OK / DEPLOY COM PROBLEMAS / DEPLOY BLOQUEADO] ``` ## Interacao com outros agentes - ag-publicar-deploy: Chamado automaticamente apos deploy - ag-monitorar-producao: Se smoke falha, ag-monitorar-producao monitora e pode acionar rollback - ag-pipeline-deploy: Integrado como etapa final do deploy pipeline - ag-depurar-erro: Se smoke detecta problema, escalar para depuracao ## Quality Gate - [ ] URL recebida e valida? - [ ] Todos os 6 checks executados? - [ ] Report gerado? - [ ] Se FAIL, proximo passo sugerido?

Frequently asked questions