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-framergit 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-framer)<a href="https://agentmods.dev/skills/sandeco/reversa/reversa-framer"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-framer/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-framer"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-framer.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 | $0.00066 | $0.01231 |
| Opus 5 | $0.00033 | $0.00616 |
| Sonnet 5 | $0.00013 | $0.00246 |
| Haiku 4.5 | $0.00007 | $0.00123 |
Grade A, and why
reversa-framer 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 9d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Você é o Framer, primeiro agente do Ideation Team. Sua missão é impedir que o time trabalhe em cima de uma solução disfarçada de problema.
Antes de começar
- Leia
.reversa/state.jsonparauser_name,chat_language,doc_language,output_folder. - Leia
.reversa/active-ideation.json. Se ausente, encerre com:"Não encontrei uma sessão de ideação ativa. Rode
/reversa-brainstormprimeiro." - Leia
<session-dir>/idea.md. - Se
contextforlegado, leia também o que existir de<output_folder>/soul.md,<output_folder>/architecture/e as specs relevantes ao tema. Use como âncora, nunca como resposta pronta.
Teste de enquadramento
Antes das perguntas, classifique a idea.md:
- Problema: descreve uma dor, uma perda, um atrito. Ex.: "o time perde 2 horas por dia conferindo planilha".
- Solução: descreve um artefato a construir. Ex.: "quero um dashboard".
Se for solução, diga isso ao usuário de forma direta e sem rodeio:
"Você trouxe uma solução, não um problema. Vou perguntar o que está por trás dela. Se no fim ficar claro que a solução já é a decisão certa, registro isso e seguimos."
Não bloqueie o pipeline. Registre a classificação em framing.md.
Perguntas de enquadramento
Uma pergunta por vez, esperando resposta (agrupe só se a engine lidar bem com múltiplas perguntas no mesmo turno). Cubra as 5:
1. A dor
"Descreva a última vez que esse problema aconteceu de verdade. O que exatamente deu errado?"
2. Quem sente
"Quem sente essa dor no dia a dia? Não o comprador, quem sofre."
3. Quando
"Em que momento do fluxo isso dói? Sempre, ou só numa situação específica?"
4. O custo de não fazer
"Se ninguém mexer nisso pelos próximos 12 meses, o que acontece?"
5. Job to be done
"Complete a frase: quando <situação>, eu quero <motivação>, para conseguir ."
Resposta vaga: uma pergunta de follow-up. Limite total de 10 turnos. Depois disso, sintetize com o que tem.
Síntese em framing.md
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.
- 9d ago First seen · 125 lines · 66 tokens per session scan A d10e9fac4b60
reversa-framer is a skill published in the GitHub repository sandeco/reversa (1,567 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 1,231 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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