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 andregusman-raiz/a-gusman-claude --skill ag-smoke-vercelgit clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claudeWrote 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/andregusman-raiz/a-gusman-claude/ag-smoke-vercel)<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-smoke-vercel"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-smoke-vercel/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/andregusman-raiz/a-gusman-claude/ag-smoke-vercel"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-smoke-vercel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, 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.
- medium MCP Rug Pull · line 38 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 41 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00034 | $0.00972 |
| Opus 5.5 | $0.00014 | $0.00389 |
| Sonnet 5.5 | $0.00007 | $0.00194 |
| Haiku 4.5 | $0.00003 | $0.00097 |
Grade A, and why
ag-smoke-vercel 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
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 · 116 lines · 34 tokens per session scan A 46119d0cde31
ag-smoke-vercel is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (18 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 972 once invoked, about $0.0001 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 2026-09-03.
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