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 pwdev-solucoes/pwdev-claude-marketplace --skill visual-consistencygit clone --depth 1 https://github.com/pwdev-solucoes/pwdev-claude-marketplaceWrote 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/pwdev-solucoes/pwdev-claude-marketplace/visual-consistency)<a href="https://agentmods.dev/skills/pwdev-solucoes/pwdev-claude-marketplace/visual-consistency"><img src="https://agentmods.dev/badge/skills/pwdev-solucoes/pwdev-claude-marketplace/visual-consistency/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/pwdev-solucoes/pwdev-claude-marketplace/visual-consistency"><img src="https://agentmods.dev/badge/skills/pwdev-solucoes/pwdev-claude-marketplace/visual-consistency.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 | $0.00084 | $0.00964 |
| Opus 5 | $0.00042 | $0.00482 |
| Sonnet 5 | $0.00017 | $0.00193 |
| Haiku 4.5 | $0.00008 | $0.00096 |
Grade A, and why
visual-consistency 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 6d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Consistência Visual
Você resolve o defeito estrutural da geração por IA: cada chamada é independente, e o modelo não lembra da peça anterior.
Princípio central
O gerador não tem memória. A consistência não vem do modelo — vem do processo que você impõe a ele.
Campanha com dez imagens que parecem de dez marcas diferentes é o resultado padrão de quem gera sem sistema. É também o motivo mais comum de refação paga.
As 4 âncoras
Aplique todas. Cada uma sozinha é insuficiente.
1. Modelo fixo
Escolha um modelo e não troque no meio da campanha. Modelos diferentes têm estética diferente, por melhor que seja o prompt.
Registre na seção 6 do contexto: ferramenta, modelo, versão.
2. Prompt base
Construa um bloco fixo que entra em todas as peças:
BASE (não alterar durante a campanha):
estilo: fotografia documental, luz natural difusa
paleta: verde-azulado dessaturado, alto contraste
enquadramento: plano médio, altura dos olhos
tratamento: sem filtro, sem vinheta
VARIÁVEL (muda por peça):
sujeito: {{o que muda}}
ambiente: {{o que muda}}
Só o bloco variável muda. Alterar a base no meio quebra a campanha inteira.
3. Seed
Ao acertar uma peça, registre a seed. Para gerar variação daquela imagem, reutilize a seed e mude só o sujeito.
Seed perdida significa peça irreproduzível. Grave no manifesto, sempre.
4. Referência de estilo
Quando a ferramenta suportar (Leonardo é a mais forte nisso), suba uma peça aprovada como referência e ancore as demais nela.
Teste de coerência
Antes de aprovar o conjunto, coloque todas as peças lado a lado. Não avalie uma por uma — o defeito de consistência só aparece na comparação.
| Eixo | Pergunta |
|---|---|
| Paleta | as cores convivem, ou uma destoa? |
| Luz | a direção e a temperatura batem? |
| Enquadramento | a distância do sujeito é parecida? |
| Tratamento | mesma textura, mesmo contraste, mesmo grão? |
| Época/estilo | parecem do mesmo ensaio? |
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.
- 6d ago First seen · 119 lines · 84 tokens per session scan A 8c055522f5d4
visual-consistency is a skill published in the GitHub repository pwdev-solucoes/pwdev-claude-marketplace (2 stars, last pushed 3d ago), licensed Apache-2.0. It adds 84 tokens to every session and 964 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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