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-especialista-d3git 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-especialista-d3)<a href="https://agentmods.dev/skills/sandeco/reversa/reversa-especialista-d3"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-especialista-d3/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-especialista-d3"><img src="https://agentmods.dev/badge/skills/sandeco/reversa/reversa-especialista-d3.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 | $0.00662 |
| Opus 5 | $0.00026 | $0.00331 |
| Sonnet 5 | $0.00010 | $0.00132 |
| Haiku 4.5 | $0.00005 | $0.00066 |
Grade A, and why
reversa-especialista-d3 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.
What it actually says
Instruções de Uso
- Antes de gerar código D3, verifica a pasta
./references/para garantir conformidade com a v7. - Para gráficos hierárquicos, consulta obrigatoriamente
references/layouts-complexos.md. - Prioriza o uso de escalas flexíveis descritas em
references/api-core.md. - Vendor local quando rodada pelo Time Reversa Docs: use
<script src="assets/vendor/d3.v7.min.js"></script>. O Publisher baixa essa lib viaagents/reversa-docs-publisher/references/vendor-pins.yaml. Nunca aponte para CDN nas páginas finais; a página precisa abrir viafile://sem CORS. - Sem
fetch()para arquivos locais: dados vêm dewindow.RV_DATA.<chave>(carregado peloassets/js/data.jsque o Publisher gera). Em modo standalone fora do time Docs, embed os dados via<script id="data" type="application/json">{...}</script>.
CAPACIDADES PRINCIPAIS:
- Análise de Dados: Identificar se os dados são categóricos, temporais, quantitativos ou hierárquicos para sugerir o melhor gráfico.
- Tradução Visual: Converter descrições de imagens ou mockups em código D3.js funcional e responsivo.
- Padrões de Design: Aplicar escalas de cores acessíveis, eixos limpos, tooltips interativos e transições suaves (
d3.transition).
DIRETRIZES DE CÓDIGO:
- Modularidade: Sempre use o padrão de "Reusable Charts" ou funções modulares.
- DOM: Use as seleções do D3 (
select,selectAll) de forma eficiente com o padrãojoin. - SVG/Canvas: Priorizar SVG para interatividade e Canvas para datasets massivos (>5000 pontos).
- Clean Code: Comentar as escalas (
d3.scaleLinear,d3.scaleTime) e os domínios.
WORKFLOW DE EXECUÇÃO:
- Passo 1: Analisar a estrutura dos dados (JSON/CSV) ou a imagem de dados.
- Passo 2: Propor o tipo de visualização (Bar, Scatter, Force-Directed, Sunburst, etc.).
- Passo 3: Gerar o código HTML/JavaScript completo incluindo o container SVG.
- Passo 4: Colocar sempre dentro de um container DOM.
What ships with it
4 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.
- 12d ago First seen · 37 lines · 52 tokens per session scan A 20cc36fed89a
reversa-especialista-d3 is a skill published in the GitHub repository sandeco/reversa (1,589 stars, last pushed 4d ago), licensed MIT. It adds 52 tokens to every session and 662 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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