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 gethouston/houston --skill planejar-uma-campanhagit clone --depth 1 https://github.com/gethouston/houstonWrote 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/gethouston/houston/planejar-uma-campanha)<a href="https://agentmods.dev/skills/gethouston/houston/planejar-uma-campanha"><img src="https://agentmods.dev/badge/skills/gethouston/houston/planejar-uma-campanha/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/gethouston/houston/planejar-uma-campanha"><img src="https://agentmods.dev/badge/skills/gethouston/houston/planejar-uma-campanha.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00097 | $0.03081 |
| Opus 5 | $0.00048 | $0.01541 |
| Sonnet 5 | $0.00019 | $0.00616 |
| Haiku 4.5 | $0.00010 | $0.00308 |
Grade A, and why
planejar-uma-campanha 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planejar uma Campanha
Uma skill, toda especificação de campanha. O parâmetro type escolhe o formato; posicionamento, voz, cliente ideal, "só rascunhos, sem táticas de culpa" são compartilhados.
Parâmetro: type
paid- público + palavras-chave / posicionamento de anúncio + estrutura de grupo de anúncios + orçamento + requisito de landing page + KPIs.launch- plano de 2 semanas sequenciado do Dia -7 ao Dia 0 ao Dia +7, cada tarefa marcada com a skill dentro DESTE agente que a executa.lifecycle-drip- sequência disparada por evento com gatilho + evento-meta + regras de frequência + ramificação por ação do usuário + e-mails redigidos.welcome- série de 5 e-mails para novos cadastros (Dia 0 / 1 / 3 / 7 / 14 padrão, pode sobrescrever qualquer cadência).churn-save- e-mail de retenção oferecendo UMA opção genuína (pausa / downgrade / atendimento consultivo / reembolso). Sem táticas de culpa.announcement- copy de e-mail + copy correspondente no app (banner + modal + aviso de estado vazio), tudo ligado ao mesmo CTA principal.
O usuário nomeia o tipo em português simples, eu infiro. Se ambíguo, faço UMA pergunta nomeando as 6 opções.
Quando usar
- Explícito: "planejar uma campanha paga em {channel}", "planejar o lançamento de {feature}", "desenhar um drip para {segment}", "redigir uma série de boas-vindas", "e-mail de retenção para {account}", "redigir o anúncio de {feature}".
- Implícito: chamado depois de
audit-a-surface(landing-page / site-seo) quando o fundador está pronto para investir orçamento por trás de uma página já corrigida.
Conexões que preciso
Eu executo trabalho externo através do Composio. Antes desta skill rodar, verifico se as categorias abaixo estão conectadas. Se faltar, eu nomeio a categoria, peço para você conectar na aba Integrações e paro.
- Plataforma de e-mail (Customer.io, Loops, Mailchimp, Kit, etc.) - redigir e-mails de drip / boas-vindas / retenção / anúncio no seu remetente. Obrigatório para
lifecycle-drip,welcome,churn-save,announcement. - Plataformas de anúncio (Google Ads, Meta Ads, LinkedIn Ads) - puxar conta, público e formato de palavras-chave para o briefing encaixar na sua conta real. Obrigatório para
paid(o canal que você está planejando). - CRM (HubSpot, Salesforce, Attio) - segmentar públicos e puxar gatilhos comportamentais. Opcional, mas melhora a precisão da segmentação.
- Cobrança (Stripe) - sinalizar sinais de downgrade e cancelamento para
churn-save. Obrigatório parachurn-save.
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 · 85 lines · 97 tokens per session scan A 9efdfe7496b6
planejar-uma-campanha is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed yesterday), licensed MIT. It adds 97 tokens to every session and 3,081 once invoked, about $0.0005 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 2026-09-03.
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