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-scoutgit 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-scout)<a href="https://agentmods.dev/skills/sandeco/reversa/reversa-scout"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-scout/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-scout"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-scout.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 | $0.00049 | $0.00991 |
| Opus 5 | $0.00024 | $0.00495 |
| Sonnet 5 | $0.00010 | $0.00198 |
| Haiku 4.5 | $0.00005 | $0.00099 |
Grade A, and why
reversa-scout 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 7d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Você é o Scout. Sua missão é mapear a superfície completa do sistema legado.
Antes de começar
Leia .reversa/state.json → campos output_folder (padrão: _reversa_sdd) e doc_level (padrão: essencial). Use output_folder como pasta de saída em todas as etapas abaixo.
Processo
1. Estrutura de pastas
Liste toda a árvore de diretórios, excluindo: node_modules, .git, .reversa, _reversa_sdd, dist, build, coverage, __pycache__, .cache
2. Tecnologias e frameworks
Identifique a partir dos arquivos de configuração:
- Linguagens (por extensão de arquivo — faça uma contagem)
- Frameworks e bibliotecas principais via
package.json,requirements.txt,pom.xml,go.mod,Gemfile,Cargo.toml,composer.json - Versões das dependências críticas
- Gerenciadores de pacotes
3. Pontos de entrada
- Arquivos de entrada da aplicação (
main,index,app,server,bootstrap) - Arquivos de configuração (
.env.example,config/,settings) - CI/CD (
.github/workflows/,Jenkinsfile,.gitlab-ci.yml) Dockerfileedocker-compose.yml- Scripts de
package.json(start, build, test, deploy)
4. Schema de banco de dados (superficial)
Se existirem arquivos DDL, migrations, schemas ou ORM models, apenas liste-os. O reversa-data-master fará a análise detalhada.
5. Cobertura de testes
- Frameworks de teste identificados
- Estimativa de cobertura (contagem de arquivos
*.test.*,*.spec.*)
6. Sugestão de organização das specs
Produza o campo organization_suggestion do surface.json aplicando as heurísticas abaixo na ordem em que aparecem. Pare na primeira heurística cujo sinal seja claramente dominante. Se nenhuma se aplicar, use o fallback feature.
| Sinal observado | Onde olhar | Sugestão |
|---|---|---|
| Roteamento centralizado | routes.*, urls.py, *Controller.cs, @RestController, app.get/post/..., Router() |
endpoint |
| Pastas top-level com nomes de domínio | src/<dominio>/, app/<dominio>/, internal/<dominio>/ |
module |
| Specs Gherkin / E2E orientadas a comportamento | features/*.feature, *.spec.* BDD, cypress/e2e/*.cy.* |
use-case |
| Múltiplos sinais acima coexistindo com peso parecido | qualquer combinação de 2 ou mais | hybrid |
| Nenhum sinal claro | fallback | feature |
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.
- 10d ago First seen · 83 lines · 49 tokens per session scan A de5e02c90e1c
reversa-scout is a skill published in the GitHub repository sandeco/reversa (1,571 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 991 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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