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 reaproveitar-meu-conteudogit 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/reaproveitar-meu-conteudo)<a href="https://agentmods.dev/skills/gethouston/houston/reaproveitar-meu-conteudo"><img src="https://agentmods.dev/badge/skills/gethouston/houston/reaproveitar-meu-conteudo/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/reaproveitar-meu-conteudo"><img src="https://agentmods.dev/badge/skills/gethouston/houston/reaproveitar-meu-conteudo.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 | $0.00073 | $0.01581 |
| Opus 5 | $0.00036 | $0.00790 |
| Sonnet 5 | $0.00015 | $0.00316 |
| Haiku 4.5 | $0.00007 | $0.00158 |
Grade A, and why
reaproveitar-meu-conteudo 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reaproveitar Meu Conteúdo
Quando usar
- Explícito: "transforme este post de blog em posts do LinkedIn", "reaproveite este vídeo do YouTube em um rascunho de blog", "faça uma thread do X a partir deste artigo", "puxe insights compartilháveis de {URL}".
- Implícito: depois que
write-a-postpublica um post de grande sucesso, o fundador pede derivados para redes sociais. - Muitas combinações de origem × destino, o formato é escolhido dinamicamente a partir do pedido do usuário.
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.
- Raspagem de web (Firecrawl) - opcional quando a origem é uma URL. Se não estiver conectado, eu recorro a uma busca HTTP básica, mais rústica, mas funciona em posts de blog e artigos estáticos.
- YouTube - puxar a transcrição e os metadados. Obrigatório quando a origem é um vídeo do YouTube, sem alternativa, transcrições precisam da API.
- Plataformas sociais (LinkedIn, X) - opcional, só se a origem for um post em uma delas.
Se a origem for um vídeo do YouTube e o YouTube não estiver conectado, eu paro. Para uma origem em URL, eu continuo com a busca HTTP básica e sinalizo se a página for pesada em JS a ponto do resultado ficar raso.
Informações que preciso
Eu leio primeiro o seu contexto de marketing. Para cada campo obrigatório que estiver faltando, eu faço UMA pergunta em linguagem simples (melhor modalidade: app conectado > upload de arquivo > URL > colar) e espero.
- Seu posicionamento e voz - Obrigatório. Por que preciso: o conteúdo reaproveitado precisa soar como você, não como o autor original. Se estiver faltando, eu pergunto: "Quer que eu redija seu posicionamento primeiro? É uma skill, leva uns cinco minutos. E conecte sua caixa de enviados para eu captar sua voz."
- A origem - Obrigatório. Se estiver faltando, eu pergunto: "O que vou reaproveitar, cole a URL, jogue o link do YouTube, ou cole o texto do artigo."
- O formato de destino - Obrigatório. Se estiver faltando, eu pergunto: "Em que você quer que eu transforme isso, cinco posts do LinkedIn, uma thread do X, uma newsletter, um rascunho de blog, ou uma lista de insights compartilháveis?"
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 · 77 lines · 73 tokens per session scan A dc6a11300503
reaproveitar-meu-conteudo is a skill published in the GitHub repository gethouston/houston (113 stars, last pushed yesterday), licensed MIT. It adds 73 tokens to every session and 1,581 once invoked, about $0.0004 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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