Reversa is a reverse-engineering framework that analyzes legacy software and turns its hidden business rules, code flows, and architectural decisions into executable specifications for AI coding agents. Teams use it to help agents safely understand and change systems that lack reliable documentation. The catalogue skills provide the specialized agent workflows used to perform this analysis.
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 sandeco/reversa --skill reversa-image-prompt-jsongit clone --depth 1 https://github.com/sandeco/reversaWrote 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/sandeco/reversa/reversa-image-prompt-json)<a href="https://agentmods.dev/skills/sandeco/reversa/reversa-image-prompt-json"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-image-prompt-json/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/sandeco/reversa/reversa-image-prompt-json"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-image-prompt-json.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 | $0.00040 | $0.02149 |
| Opus 5 | $0.00020 | $0.01074 |
| Sonnet 5 | $0.00008 | $0.00430 |
| Haiku 4.5 | $0.00004 | $0.00215 |
Grade A, and why
reversa-image-prompt-json 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 13d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Prompt Builder
Skill para construir prompts JSON estruturados para geração de imagens de produtos com estética cinematográfica e luxuosa — otimizada para Nano Banana 2 (Gemini 3.1 Flash Image) via Google Antigravity, com suporte a todos os parâmetros nativos do modelo.
Fluxo obrigatório
Ao ser ativada, esta skill deve SEMPRE seguir estas etapas em ordem:
- Entrevista guiada — Coletar informações do usuário por blocos
- Confirmação — Mostrar resumo e pedir aprovação
- Geração do JSON — Montar o prompt estruturado final
ETAPA 1 — Entrevista guiada por blocos
Colete as informações em 3 rodadas de perguntas, nunca tudo de uma vez.
Rodada 1 — Produto e Cena
Pergunte ao usuário:
"Vamos montar seu prompt de imagem! Preciso entender o produto primeiro. Me conta:"
- Tipo de produto: O que é o produto? (ex: bolo de chocolate, frasco de perfume, tênis, shake, joia...)
- Nome da marca: Tem marca visível? Se sim, qual é o nome?
- Aparência do produto: Descreva a cor, textura, acabamento, forma. Quanto mais detalhe, melhor.
- Elementos extras: Tem acompanhamentos? (frutas, gelo, flores, folhas, reflexos...)
- Tipo de cena: Qual é o clima geral da imagem?
- Opções sugeridas: luxuoso e cinematográfico / clean e minimalista / dramático e contrastado / quente e aconchegante / futurista e tecnológico
Rodada 2 — Composição e Ação
"Ótimo! Agora me conta sobre o visual dinâmico da imagem:"
- Ação principal: O produto está estático ou tem movimento? (ex: líquido explodindo, partículas suspensas, fumaça, splash, corte revelando interior...)
- Elementos suspensos no ar: Quais elementos voam ao redor do produto? (ex: gotas, pó, fragmentos, folhas, cristais, bolhas...)
- Superfície de apoio: Onde o produto está? (ex: mármore branco polido, pedra preta fosca, madeira rústica, vidro transparente, superfície abstrata...)
- Ângulo da câmera: Como a câmera filma o produto?
- Opções: ângulo baixo (dominância) / nível dos olhos / levemente acima / macro extremo / ângulo 3/4
What ships with it
2 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.
- 13d ago First seen · 211 lines · 40 tokens per session scan A 4d5b9c635df4
reversa-image-prompt-json is a skill published in the GitHub repository sandeco/reversa (1,589 stars, last pushed 4d ago), licensed MIT. It adds 40 tokens to every session and 2,149 once invoked, about $0.0002 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 2026-08-30.
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