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SKILL verified MIT Self-run

Usage Monitor

skill-lglucas-ai-dev-operating-system-usage-monitor · by lglucas

Track real-world usage and cost across LLM providers, hosting, DB, and email after a feature ships or a launch happens. Complements `cost-watchdog` (preventive). Triggers when the user says "tô gastando muito", "quanto custa", "quanto deu de fatura", or after launch.

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Install

$ agentstack add skill-lglucas-ai-dev-operating-system-usage-monitor

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Usage Monitor

When to run this skill

  • 24h after a public launch.
  • Weekly during the first month after launch.
  • Whenever the user asks "quanto tá custando" / "tô gastando muito" / "como tá a fatura".
  • After a feature that calls a metered service ships.
  • When a billing alert fires.

Dashboard format

📊 Usage & cost — last 7 days

🤖 LLM (Anthropic):
   Input tokens:        1.2M (R$ 9.00)
   Output tokens:       340K (R$ 17.00)
   Cache reads:         800K (R$ 0.60)
   Total:               R$ 26.60
   Per active user:     R$ 0.27
   ⚠️  Up 340% vs prev week — investigate.

☁️  Hosting (Vercel):
   Bandwidth:           4.2 GB / 100 GB free
   Function invocations: 22K / 100K free
   Status:              🟢 within free tier

🗄️  Database (Supabase):
   DB size:             142 MB / 500 MB free
   Active users (mau):  18 / 50K free
   Status:              🟢 within free tier

✉️  Email (Resend):
   Sent:                240 / 3000 free
   Status:              🟢 within free tier

💰 Total billable this week: R$ 26.60
🔮 Projected month: R$ 114

Sources of truth

  • Anthropic: Console → Billing → Usage. API: /v1/organizations/usage_report.
  • Vercel: Dashboard → Usage tab.
  • Supabase: Dashboard → Project Settings → Usage.
  • Resend: Dashboard → Logs.
  • Stripe: Dashboard → Reports.

If the user hasn't connected a usage API: "para automatizar, preciso da chave read-only da [provider]. Sem ela, eu te lembro de checar manualmente toda segunda."

Triggers for action

| Sinal | Ação recomendada | |---|---| | LLM custo / usuário ativo > R$ 1 | Revisar prompts, considerar Haiku, ativar cache. | | Bandwidth > 70% do free tier | Auditar imagens grandes, downloads. | | DB > 70% do free tier | Auditar tabelas grandes, archive. | | Spike > 200% week-over-week | Investigar imediatamente — provável loop / abuse. | | Erro de cobrança / cartão recusado | Avisar usuário no chat. |

Vibe coder explanation

> Imagina que cada serviço que você usa tem um relógio rodando. Toda semana eu olho os relógios pra você e falo: "tudo OK", "tá perto do limite", ou "tem algo estranho". Você não precisa entrar em 5 dashboards.

Output cadence

  • Weekly: 5-line summary in chat.
  • On spike: same-day alert with the cause.
  • Monthly: file session-log/YYYY-MM-cost-review.md with totals + top 3 levers to reduce.

Relationship to cost-watchdog

  • cost-watchdog = preventive (before code ships).
  • usage-monitor = reactive (after code is in production).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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