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 felipenalves/InvOS --skill relatorio-adsgit clone --depth 1 https://github.com/felipenalves/InvOSWrote 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/felipenalves/invos/relatorio-ads)<a href="https://agentmods.dev/skills/felipenalves/invos/relatorio-ads"><img src="https://agentmods.dev/badge/skills/felipenalves/invos/relatorio-ads/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/felipenalves/invos/relatorio-ads"><img src="https://agentmods.dev/badge/skills/felipenalves/invos/relatorio-ads.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 | $0.00117 | $0.01619 |
| Opus 5 | $0.00059 | $0.00809 |
| Sonnet 5 | $0.00023 | $0.00324 |
| Haiku 4.5 | $0.00012 | $0.00162 |
Grade A, and why
relatorio-ads 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 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.
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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/relatorio-ads — Relatório semanal de Google Ads + Meta Ads
Skill que transforma exports brutos das plataformas em relatório executivo que o dono entende sem precisar abrir a interface do Google ou da Meta.
Dependências
- Contexto:
_memoria/empresa.md,_memoria/estrategia.md - Tom de voz:
_memoria/preferencias.md - Inputs: CSVs do Google Ads e/ou Meta Ads Manager. Print também aceito (transcrever)
- Histórico:
marketing/campanhas/relatorios/(criar se não existir)
Como rodar
Usuário roda o comando e cola/aponta os arquivos:
/relatorio-ads
dados/google-ads-2026-05-12.csv
dados/meta-ads-2026-05-12.csv
Ou simplesmente:
/relatorio-ads
Aí a skill pergunta onde estão os exports da semana.
Workflow
Passo 1 — Ler os exports
Google Ads: colunas mínimas esperadas — Campanha, Grupo, Impressões, Cliques, CTR, CPC médio, Custo, Conversões, CPA, Conv. rate.
Meta Ads: colunas mínimas esperadas — Campanha, Conjunto, Impressões, Alcance, Cliques no link, CTR, CPM, Frequência, Custo, Resultados, Custo por resultado.
Se faltar coluna crítica (Conversões / Resultados), avisar e seguir só com tráfego.
Passo 2 — Comparar com a semana anterior
Buscar em marketing/campanhas/relatorios/ o relatório anterior. Se existir, calcular variação semana vs semana:
- Investimento total
- Cliques / Impressões
- CTR (clique / impressão)
- CPC / CPM
- Conversões totais (Google + Meta)
- CPA (custo / conversão)
- Custo por canal
Se não existir, é a primeira leitura — sinalizar como baseline.
Passo 3 — Resumo executivo (topo do relatório)
Uma página, leitura de 2 minutos. Estrutura:
# Relatório de Ads — semana <DD/MM> a <DD/MM>
## Resumo executivo
**Investimento:** R$ X.XXX (▼/▲ Y% vs semana anterior)
**Conversões:** N (▼/▲ Y%)
**CPA médio:** R$ X.XX (▼/▲ Y%)
**Canais:**
- Google Ads: R$ X.XXX → N conversões (CPA R$ X.XX)
- Meta Ads: R$ X.XXX → N conversões (CPA R$ X.XX)
**Headline da semana:** 1 frase do que mais importa (campanha que estourou, criativo que matou,
alerta de orçamento, queda inesperada).
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 · 164 lines · 117 tokens per session scan A bcb65c4a57b6
relatorio-ads is a skill published in the GitHub repository felipenalves/InvOS (5 stars, last pushed 6d ago), licensed MIT. It adds 117 tokens to every session and 1,619 once invoked, about $0.0006 per session on Opus 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.
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