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 carrosselgit 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/carrossel)<a href="https://agentmods.dev/skills/felipenalves/invos/carrossel"><img src="https://agentmods.dev/badge/skills/felipenalves/invos/carrossel/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/carrossel"><img src="https://agentmods.dev/badge/skills/felipenalves/invos/carrossel.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 | $0.00118 | $0.03436 |
| Opus 5.5 | $0.00047 | $0.01374 |
| Sonnet 5.5 | $0.00024 | $0.00687 |
| Haiku 4.5 | $0.00012 | $0.00344 |
Grade A, and why
carrossel 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 2mo 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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/carrossel — Carrossel e posts visuais
Skill central de criação de conteúdo visual. Pega um tema → entrega HTMLs estilizados + PNGs prontos pra postar + legenda no padrão da marca.
Dependências
- Identidade visual:
marca/design-guide.md— LER ANTES de criar qualquer visual - Contexto do negócio:
_memoria/empresa.md - Tom de voz:
_memoria/preferencias.md - Playwright: pra renderizar HTML em PNG (
npx playwright screenshotou viarender.js) - OpenAI API (opcional): pra gerar fotos realistas — só se o cliente tiver chave configurada
- Outputs vão em:
marketing/conteudo/<tipo>-<tema>-<YYYY-MM-DD>/
Tipos de conteúdo
Ao receber um pedido, identificar qual tipo se encaixa:
1. CARROSSEL TEXTO PURO
- Quando usar: posts educacionais, dicas, listas, explicações
- Formato: 1080x1350 (4:5) — sempre
- Estilo: tipografia clean, cores da marca alternadas, sem fotos
2. CARROSSEL COM FOTO
- Quando usar: apresentação visual, conteúdo aspiracional, capa com personagem
- Formato: 1080x1350 (4:5)
- Estilo: foto como capa com gradient overlay + slides internos no padrão alternado
- Foto: pode ser IA (gerada por OpenAI) ou real (passada pelo usuário)
3. POST ÚNICO
- Quando usar: frase de impacto, dado/estatística, depoimento, bastidores
- Formato: 1080x1350
- Estilo: varia conforme o conteúdo (citação, número grande, foto com overlay)
Se o tipo não estiver claro, perguntar:
"Que tipo de conteúdo? (1) carrossel texto, (2) carrossel com foto, (3) post único"
Estilo visual base
O INVOS tem um estilo próprio — editorial, calmo, premium. Sem clip-art, sem emoji decorativo, sem gradiente arco-íris, sem template genérico de IA. marca/design-guide.md sobrescreve esses padrões; quando o design-guide for vago ou estiver em branco, usar o que tá aqui (não parar pra pedir /instalar — o /carrossel funciona com defaults bons).
Tipografia padrão
- Fonte: Inter (Google Fonts), pesos 400/500/600/700/800/900
- Título de capa: 90-100px, weight 900, line-height 0.98, letter-spacing -0.04em
- H2 (slides internos): 60-72px, weight 800, line-height 1.04, letter-spacing -0.035em
- Corpo: 20-24px, weight 500, line-height 1.5
- Eyebrow/kicker: 13-16px, weight 700-800, UPPERCASE, letter-spacing 0.22-0.32em, cor de destaque
- Page counter (canto sup. dir.): 14-16px, weight 500-600, letter-spacing 0.18em, cor muted
- Meta/handle (@): 15-18px, weight 600
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.
- 2mo ago First seen · 273 lines · 118 tokens per session scan A e1fc6244f42e
carrossel is a skill published in the GitHub repository felipenalves/InvOS (8 stars, last pushed 1mo ago), licensed MIT. It adds 118 tokens to every session and 3,436 once invoked, about $0.0005 per session on Opus 5.5. 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.
carrossel compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| carrosselfelipenalves/InvOS | Skill | 8 | 1mo ago | MIT | A | 118 | Claude Code, Codex |
| hindsight-architectvectorize-io/hindsight | Skill | 59k | yesterday | MIT | A | 35 | Claude Code, Codex |
| hindsight-localvectorize-io/hindsight | Skill | 59k | yesterday | MIT | A | 32 | Claude Code, Codex |
| hindsight-docsvectorize-io/hindsight | Skill | 59k | yesterday | MIT | A | 30 | Claude Code, Codex |
| Hindsight Memoryvectorize-io/hindsight | Skill | 59k | yesterday | MIT | A | 49 | Claude Code, Codex |
| memory-setupvectorize-io/hindsight | Skill | 59k | yesterday | MIT | A | 46 | Cursor |
| bot-handoffvectorize-io/hindsight | Skill | 59k | yesterday | MIT | A | 57 | Cursor |