Borrowing it
Nothing to install: this file belongs to gabrielzucco/cerebro-inevita. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/gabrielzucco/cerebro-inevita/main/.agents/skills/frameworks-visuais/SKILL.mdgit clone --depth 1 https://github.com/gabrielzucco/cerebro-inevitaWrote 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/gabrielzucco/cerebro-inevita/frameworks-visuais)<a href="https://agentmods.dev/skills/gabrielzucco/cerebro-inevita/frameworks-visuais"><img src="https://agentmods.dev/badge/skills/gabrielzucco/cerebro-inevita/frameworks-visuais/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/gabrielzucco/cerebro-inevita/frameworks-visuais"><img src="https://agentmods.dev/badge/skills/gabrielzucco/cerebro-inevita/frameworks-visuais.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 | $0.00123 | $0.01569 |
| Opus 5 | $0.00062 | $0.00785 |
| Sonnet 5 | $0.00025 | $0.00314 |
| Haiku 4.5 | $0.00012 | $0.00157 |
Grade A, and why
frameworks-visuais 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 12d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frameworks visuais → Excalidraw a partir das tuas notas
O diagrama é uma vista derivada da nota: ele estrutura o que ela já diz, nunca inventa
(regra "zero conteúdo inventado" do CLAUDE.md). Todo texto do canvas tem que ser rastreável à
fonte — citação literal ou paráfrase que só reorganiza. O .excalidraw.md é uma nota como
qualquer outra, com frontmatter e origem.
Requisito: precisa do plugin Excalidraw no Obsidian pra ver o canvas (Community plugins → Excalidraw). E do
python3(já vem no sistema; nada pra instalar).
Passo 1 — ler a fonte
Leia a nota fonte INTEIRA (com o frontmatter). O diagrama nasce ao lado dela, com o nome
framework-<slug>.excalidraw.md (kebab-case, prefixo framework-).
- PII fora: se a nota tiver e-mail/telefone/nome de cliente, não leve pro canvas (a regra de PII do cérebro vale aqui também).
- Citação em inglês → tradução livre pra pt-BR, marcando "(tradução livre)" no autor.
Passo 2 — escolher o formato
A nota é rica (mais de um conceito/movimento)? Se sim, o padrão é historia — o canvas vira
ATOS empilhados (número grande, título curto, UM visual central, texto mínimo), lidos em sequência
como narrativa. Nunca empilhe tudo numa cena só — polui. E prefira metáfora visual a card de
texto: o engine tem pictogramas (tornado, precipício+ponte, botão, casinhas, onda) — use quando a
fonte der a imagem.
Pra um conceito pontual (uma estrutura só), abra taxonomia.md e escolha:
pipeline · curva-com-abismo · matriz-2x2 · funil · piramide · ciclo · anatomia · contraste.
Escolha o que responde à pergunta que o leitor faz ("em que ordem?" ≠ "o que escolher?"). Na
dúvida, pergunte à pessoa.
Passo 3 — escrever o SPEC JSON
Escreva o spec num arquivo temporário (ex.: /tmp/spec-<slug>.json). Schema completo + exemplo de
cada arquétipo: docstring do gerar_excalidraw.py. O spec carrega:
titulo(caixa alta, curto) ·subtitulo(quem disse + credencial de 1 linha) ·gancho(1-2 linhas em 2ª pessoa: por que VOCÊ deveria se importar) ·como_ler(1 linha)historia→atos: cada um comtitulo,texto(1-2 linhas, opcional),core UMvisual(curva-abismo-mini · precipicio-ponte · vinhetas · setas-tensao). 3 a 5 atos.- Single-shot →
itens: cards completos, cada um conta a própria parte sem legenda. Máx. 5–9. corsemântica: laranja = novo/risco · azul = agora/movimento · cinza = contexto · vermelho = dor/perigo · dourado = impacto.definicao(nos cards) — a linha "o que É isso" na PRIMEIRA aparição de cada termo/sigla.citacao— a frase de impacto da fonte, comref(obrigatório se houver citação direta).takeaway— "E AGORA? →" com 1-3 ações ancoradas na fonte (nunca invente ação).frontmatter—fonte,criado,origem: "[[nota-fonte]]".
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 90 lines · 123 tokens per session scan A 2eb906463fd6
frameworks-visuais is a skill published in the GitHub repository gabrielzucco/cerebro-inevita (6 stars, last pushed 8d ago), licensed MIT. It adds 123 tokens to every session and 1,569 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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