Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/igoruehara/spec-drivennpx agentmods add skills/igoruehara/spec-driven/diagramarWrote 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/igoruehara/spec-driven/diagramar)<a href="https://agentmods.dev/skills/igoruehara/spec-driven/diagramar"><img src="https://agentmods.dev/badge/skills/igoruehara/spec-driven/diagramar/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/igoruehara/spec-driven/diagramar"><img src="https://agentmods.dev/badge/skills/igoruehara/spec-driven/diagramar.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 | $0.00088 | $0.00730 |
| Opus 5.5 | $0.00035 | $0.00292 |
| Sonnet 5.5 | $0.00018 | $0.00146 |
| Haiku 4.5 | $0.00009 | $0.00073 |
Grade A, and why
diagramar 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 2mo 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Diagramar arquitetura (Mermaid, alto nível)
Gera os diagramas de arquitetura em Mermaid (renderizam no GitHub e no Claude Code) a partir
dos artefatos de discovery. Mantenha alto nível: atores, sistemas, containers e contextos —
nunca classes, tabelas ou detalhe de implementação (isso é escopo do design.md da feature).
Insumos (puxe só o que existir e cite a origem)
docs/product/vision.md— atores/personas e propósito do sistema.docs/architecture/context-map.md— bounded contexts e relações (DDD).specs/*/design.md— containers, serviços e integrações.docs/architecture/assessment.md— as-is, no brownfield.- Lacunas → pergunte (
AskUserQuestion): atores externos, sistemas vizinhos, principais containers (UI/serviços/dados/filas) e a jornada crítica a ilustrar.
Diagramas (alto nível, alinhado a C4 + DDD)
- Contexto do sistema (C4 L1): o sistema no centro + personas + sistemas externos.
- Containers (C4 L2): apps/serviços, dados, filas e como conversam.
- Mapa de bounded contexts (DDD): contextos e padrões de relação (ACL, Customer/Supplier, Conformist, Shared Kernel).
- (opcional) Fluxo-chave: uma jornada crítica em
sequenceDiagram.
Use
flowchart(renderiza em todo lugar) ou os diagramas C4 nativos do Mermaid (C4Context,C4Container) se o renderizador suportar. Rótulos na linguagem ubíqua doglossary.md.
Saída
- Escreva/atualize
docs/architecture/diagrams.md(já existe como placeholder; mantenha o frontmatteralwaysApply: false). Cada diagrama num bloco```mermaid, com título e 1 linha de contexto. - Garanta o link de volta em
context-map.md. Regenere quando a arquitetura mudar — diagrama desatualizado engana mais que ajuda.
Regras
- Alto nível only. Pediram detalhe de classe/tabela? Diga que é escopo do
design.md. - Valide a sintaxe antes de entregar — rode o gate determinístico (não confie só no olho):
Pega bloco vazio, tipo de diagrama ausente/desconhecido e aspas/delimitadores desbalanceados. Corrija os erros antes de salvar; é o mesmo gate que roda na CI (node scripts/validate-mermaid.mjs .esteira.yml). - Não invente componentes que não estão nos insumos — pergunte (ver verificação de conhecimento no
CLAUDE.md).
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.
- 2mo ago First seen · 46 lines · 88 tokens per session scan A b6ccee62f5a3
diagramar is a skill published in the GitHub repository igoruehara/spec-driven (212 stars, last pushed 3mo ago), licensed MIT. It adds 88 tokens to every session and 730 once invoked, about $0.0004 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.
diagramar compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| diagramarigoruehara/spec-driven | Skill | 212 | 3mo ago | MIT | A | 88 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |