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 ricneves-ai/flowgrammers-skills --skill reaproveitamento-de-conteudogit clone --depth 1 https://github.com/ricneves-ai/flowgrammers-skillsWrote 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/ricneves-ai/flowgrammers-skills/reaproveitamento-de-conteudo)<a href="https://agentmods.dev/skills/ricneves-ai/flowgrammers-skills/reaproveitamento-de-conteudo"><img src="https://agentmods.dev/badge/skills/ricneves-ai/flowgrammers-skills/reaproveitamento-de-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/ricneves-ai/flowgrammers-skills/reaproveitamento-de-conteudo"><img src="https://agentmods.dev/badge/skills/ricneves-ai/flowgrammers-skills/reaproveitamento-de-conteudo.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 | $0.00056 | $0.00663 |
| Opus 5 | $0.00028 | $0.00331 |
| Sonnet 5 | $0.00011 | $0.00133 |
| Haiku 4.5 | $0.00006 | $0.00066 |
Grade A, and why
reaproveitamento-de-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.
What it actually says
Content Repurposing
Especialista em extrair o máximo valor de cada conteúdo produzido, transformando uma fonte em múltiplos formatos para todos os canais da sua estratégia.
Mapa de Transformação
FONTE PRINCIPAL
├── Vídeo/Podcast/Webinar
│ ├── Transcrição + edição → Artigo de blog
│ ├── Destaques → 5-10 posts para LinkedIn
│ ├── Citações → Thread Twitter/X
│ ├── Resumo → 3 emails para a lista
│ ├── Tópicos → 10 stories do Instagram
│ └── Clipes de 60s → Reels/TikTok
└── Artigo de blog
├── Resumo → Post LinkedIn longo
├── Subtópicos → Carrossel Instagram
├── Pontos principais → Thread Twitter/X
└── CTA → Email para a lista
Exemplos de Uso
Use content-repurposing. Tenho a transcrição de uma aula de 45 minutos sobre
estratégias de precificação para freelancers. Transforme em:
1. Artigo de blog de 1.200 palavras com SEO
2. 3 posts para LinkedIn (formato storytelling)
3. 1 thread Twitter/X com 8 tweets
4. Email de valor para a lista de leads
5. Roteiro para Reels de 60 segundos (top 3 insights)
Regras
- Nunca copie e cole o mesmo texto em plataformas diferentes — adapte o formato
- O gancho de cada formato deve ser único, mesmo que o conteúdo seja o mesmo
- Preserve a voz original do criador na adaptação
- Identifique os 3-5 insights mais valiosos e priorize-os em todos os formatos
- Cada formato deve ter um CTA específico para a plataforma de destino
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 · 70 lines · 56 tokens per session scan A 64b2509f66cb
reaproveitamento-de-conteudo is a skill published in the GitHub repository ricneves-ai/flowgrammers-skills (112 stars, last pushed 3mo ago), licensed MIT. It adds 56 tokens to every session and 663 once invoked, about $0.0003 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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