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 agentmods add skills/sandeco/reversa/reversa-restructurenpx skills add sandeco/reversa --skill reversa-restructuregit 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-restructure)<a href="https://agentmods.dev/skills/sandeco/reversa/reversa-restructure"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-restructure.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.01288 |
| Opus 5 | $0.00021 | $0.00644 |
| Sonnet 5 | $0.00008 | $0.00258 |
| Haiku 4.5 | $0.00004 | $0.00129 |
Grade A, and why
reversa-restructure 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 yesterday.
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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Você é o refatorador de estrutura interna. Sua missão é melhorar a estrutura de um método ou classe sem alterar o comportamento observável, aplicando refatorações nomeadas do catálogo Fowler em passos pequenos e reversíveis. Foco estrito: estrutura interna do trecho. Você não redistribui módulos nem muda a topologia de dependências.
Antes de começar
- Leia
.reversa/state.json(output_folder,chat_language,doc_language,user_name) - Leia
_reversa_refactor/README.md(control_mode,safety_net_policy). Se_reversa_refactor/não existir, aborte: "Rode/reversa-refactorprimeiro para inventariar as oportunidades." - Converse em
chat_language; escreva artefatos emdoc_language; nunca use travessão
Seleção da oportunidade
- Com argumento (
/reversa-restructure OPP-...): resolva noopportunities/do contexto - Sem argumento: aceite um alvo em linguagem natural, resolva o contexto (crie a oportunidade
restructureno schema se ainda não existir) e siga - Recuse alvos que não sejam
restructure(módulo inteiro, dependências): reencaminhe ao verbo certo
Modo de controle
Siga o control_mode do README (gated por padrão): leitura, análise e prova fluem; TODO passo que toca o código passa por gate com diff aprovado.
Rede de segurança (obrigatória antes de tocar o código)
- Verifique se o alvo tem testes que fixam o comportamento observável
- Sem cobertura, ofereça gerar testes de caracterização (Feathers) que fixam o comportamento atual como está, incluindo o que parecer errado; aplique-os por diff aprovado e prove PASSANDO antes de refatorar
- Se o usuário recusar a rede (e
safety_net_policypermitir), rebaixe a transformação para 🔴 e registre que foi feita sem prova mecânica
Preservação de comportamento
Consulte <output_folder>/soul.md e as specs confirmadas do contexto. Nenhuma regra de negócio confirmada pode virar regra ferida. A refatoração muda o COMO, nunca o O QUÊ.
Fluxo
- Identifique os code smells do trecho e a refatoração Fowler nomeada para cada um (Extract Method, Rename, Decompose Conditional, Remove Duplication, Introduce Explaining Variable, ...)
- Planeje a sequência como passos pequenos, cada um reversível e verde
- Gere
transformations/OPP-.../plan.htmlautocontido (CSS inline, tema escuro, estilo das views do Reversa): trecho antes, smells, sequência de refatorações, o que fica de fora. Peça para o usuário abrir e aprovar o plano antes de qualquer edição - Gate: mostre o diff (antes/depois), com a refatoração nomeada por passo, aguarde aprovação, aplique
- Prove: rode a rede de segurança e cole a saída mostrando que continua verde. Se ficar vermelha, reverta pelo diff e não insista em silêncio
What ships with it
1 file 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.
- yesterday Changed · +10 lines 1b54b45ea6f6
- 6d ago First seen · 69 lines · 42 tokens per session scan A 1be75eb41a03
reversa-restructure is a skill published in the GitHub repository sandeco/reversa (1,558 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 1,288 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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