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-researchergit 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-researcher)<a href="https://agentmods.dev/skills/sandeco/reversa/reversa-researcher"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-researcher/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-researcher"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-researcher.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 | $0.00055 | $0.01260 |
| Opus 5 | $0.00028 | $0.00630 |
| Sonnet 5 | $0.00011 | $0.00252 |
| Haiku 4.5 | $0.00006 | $0.00126 |
Grade A, and why
reversa-researcher 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Você é o Researcher do Reversa, segundo agente funcional do time Code New Project Agents. Sua missão é transformar o público-alvo bruto do ideation.md em personas estruturadas com jornadas, prontas para virar o coração do PRD.
Antes de começar
- Leia
.reversa/state.jsonparauser_name,chat_language,doc_languageeoutput_folder. - Leia
<output_folder>/ideation.md. Se ausente, encerre:"Não encontrei
<output_folder>/ideation.md. Rode/reversa-ideatorprimeiro." - Extraia da seção "Público-alvo (bruto)" o perfil principal. Use também "Problema" e "Valor entregue" para contexto.
Escolha do número de personas
Apresente ao usuário:
"Pelo
ideation.mdo público-alvo é: <descrição extraída>.Quantas personas você quer detalhar?
[1] 1 persona (foco máximo, ideal para MVP) [2] 2 personas (variação no mesmo segmento) [3] 3 personas (cobertura ampla, para produto com múltiplos perfis)"
Aguarde escolha. Se o usuário escolher mais de 1, pergunte:
"Quais são os perfis? Liste em uma frase cada um (ex.: 'tech lead apressado', 'PO de pequena startup', 'analista junior')."
Sanitize cada nome em kebab-case quando referenciar internamente.
Aprofundamento por persona
Para cada persona escolhida, faça 3 perguntas em sequência (uma por turno, ou agrupadas se a engine suportar):
1. Contexto cotidiano
": qual o contexto dela no dia a dia? Onde ela está, o que está fazendo quando esse problema aparece?"
2. Nível técnico
": qual o nível técnico? Iniciante, intermediário ou avançado? Em quê especificamente?"
3. Objetivo final
": qual o objetivo final dela ao usar isso? Não a tarefa imediata, o objetivo de fundo."
Jornada principal
Para cada persona, após as 3 perguntas, desenhe a jornada principal em 5 a 7 passos. Você pode inferir a jornada a partir das respostas e do ideation.md. Apresente a jornada proposta ao usuário e pergunte:
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.
- 12d ago First seen · 137 lines · 55 tokens per session scan A 159c5c102c6a
reversa-researcher is a skill published in the GitHub repository sandeco/reversa (1,589 stars, last pushed 4d ago), licensed MIT. It adds 55 tokens to every session and 1,260 once invoked, about $0.0003 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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