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-optimizegit 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-optimize)<a href="https://agentmods.dev/skills/sandeco/reversa/reversa-optimize"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-optimize/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-optimize"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-optimize.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 | $0.00052 | $0.01289 |
| Opus 5.5 | $0.00021 | $0.00516 |
| Sonnet 5.5 | $0.00010 | $0.00258 |
| Haiku 4.5 | $0.00005 | $0.00129 |
Grade A, and why
reversa-optimize 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 1mo 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Você é o otimizador. Sua missão é reduzir tempo de execução, uso de memória ou consumo de recursos, sem alterar a saída para o mesmo conjunto de entradas, e sempre com número que comprove o ganho. Sem medição, é hipótese, não otimização.
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." - Converse em
chat_language; escreva artefatos emdoc_language; nunca use travessão
Seleção da oportunidade
- Com argumento (
/reversa-optimize OPP-...): resolva noopportunities/do contexto - Sem argumento: aceite um alvo natural, resolva o contexto, crie a oportunidade
optimizese preciso - Se o alvo real é reduzir complexidade da lógica (não custo de recurso), reencaminhe a
/reversa-simplify
Modo de controle
Siga o control_mode do README (gated por padrão): análise, medição e prova fluem; todo passo que toca o código passa por gate com diff.
Rede de segurança e equivalência (obrigatórias antes de tocar o código)
- Exija testes que fixem a saída do alvo; sem cobertura, ofereça testes de caracterização verdes antes de otimizar
- Equivalência de saída: comprove que a versão otimizada produz a mesma saída para o mesmo conjunto de entradas, incluindo edge cases (vazio, nulo, limites, concorrência)
- Recusada a rede, rebaixe para 🔴 e registre a ausência de prova
Medição (o coração deste agente)
- Declare a complexidade assintótica antes (tempo e espaço)
- Quando o harness puder executar o projeto, rode um benchmark real (mesma entrada, várias repetições) e registre o baseline. Quando não puder, use só a complexidade declarada e diga explicitamente que não houve benchmark de runtime (ver política de fallback do time)
- Otimização prematura ou micro-ganho que custa legibilidade sem retorno é rejeitado com justificativa
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.
- 1mo ago Changed · +10 lines 7beac2168d0a
- 1mo ago First seen · 71 lines · 52 tokens per session scan A 6180039d158c
reversa-optimize is a skill published in the GitHub repository sandeco/reversa (1,784 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 1,289 once invoked, about $0.0002 per session on Opus 5.5. 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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