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-monitorar-producaogit 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-monitorar-producao)<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-monitorar-producao"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-monitorar-producao/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-monitorar-producao"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-monitorar-producao.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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.
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 | $0.00040 | $0.01256 |
| Opus 5 | $0.00020 | $0.00628 |
| Sonnet 5 | $0.00008 | $0.00251 |
| Haiku 4.5 | $0.00004 | $0.00126 |
Grade A, and why
ag-monitorar-producao scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| Homepage | `curl -s -o /dev/null -w "%{http_code}" URL` | 200 | How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ag-monitorar-producao — Monitorar Producao
Canonical delegation (ADR-0001)
Para operações com Sentry, preferir skills oficiais:
| Caso | Canonical |
|---|---|
| Debug/triage de issues em produção | sentry:sentry-workflow |
| Question ad-hoc ("tem erro no projeto X?") | sentry:seer (ou /seer) |
| Setup de alerts/OTEL | sentry:sentry-feature-setup |
| SDK install em projeto novo | sentry:sentry-sdk-setup |
Esta machine mantém valor para: multi-monitoring orchestrator (Sentry + Web Vitals + custom metrics + auto-rollback em uma única pipeline), observação ativa pós-deploy por janela de tempo, e integração com ag-3-entregar.
Spawn the ag-monitorar-producao agent to monitor post-deploy production health, detect degradation, and trigger rollback if needed.
Invocation
Use the Agent tool with:
subagent_type:ag-monitorar-producaomode:autorun_in_background:trueprompt: Compose from template below + $ARGUMENTS
Prompt Template
Projeto: [CWD]
URL: [URL de producao]
Deploy timestamp: [timestamp do ultimo deploy, se conhecido]
## Output
- Health monitoring report: error rate, latency P95, CPU/memory, 5xx count
- Recomendacao de rollback se degradacao detectada
- Alertas enviados via N8N/Sentry se thresholds ultrapassados
Monitore a saude do sistema em producao. Verifique error rate, latencia P95, CPU, memoria e 5xx responses.
Fontes: Vercel logs, Sentry, Grafana. Reporte alertas e recomende rollback se necessario.
Important
- ALWAYS spawn as Agent subagent — do NOT execute inline
- Runs in background — user will be notified when monitoring completes
- After spawning, confirm to the user
Health Endpoints Checklist
| Check | Comando | Threshold |
|---|---|---|
| Homepage | curl -s -o /dev/null -w "%{http_code}" URL |
200 |
| API health | curl -s URL/api/health |
200 + JSON |
| Response time | curl -s -o /dev/null -w "%{time_total}" URL |
< 3s |
| SSL cert | curl -vI URL 2>&1 | grep "expire" |
> 30 days |
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.
- 9d ago First seen · 121 lines · 40 tokens per session scan A 97a8b7a8f8b6
ag-monitorar-producao is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (19 stars, last pushed 3d ago), licensed MIT. It adds 40 tokens to every session and 1,256 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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