ag-referencia-sdd

ag-referencia-sdd is a skill for Claude Code from andregusman-raiz/a-gusman-claude. It costs 40 tokens per session (430 once invoked), scanned A, original, MIT.

A planning method called Spec Driven Development, where work moves from a product brief to a technical specification, implementation, and review.

In plain words
What is it for?
Use it for new features, complex bug fixes, and refactoring; it also provides templates for product briefs, technical specifications, and architecture decisions.
Why use it?
It clarifies the problem, requirements, technical decisions, and acceptance criteria before substantial coding begins.

Skill for Claude Code

Written for Claude Code: context: fork in frontmatter.

Good fit Use it for new features, complex bug fixes, and refactoring; it also provides templates for product briefs, technical specifications, and architecture decisions.

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Install with agentmods
npx agentmods add skills/andregusman-raiz/a-gusman-claude/ag-referencia-sdd
Install

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.

Any agent
npx skills add andregusman-raiz/a-gusman-claude --skill ag-referencia-sdd
Clone the repo
git clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claude

Made for: Claude Code.

Wrote 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.

agentmods badge for ag-referencia-sdd

README.md
[![agentmods](https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-referencia-sdd/github.svg)](https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-referencia-sdd)
Your own site
<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-referencia-sdd"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-referencia-sdd/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.

agentmods 80×15 button for ag-referencia-sdd

Your own site · 80×15
<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-referencia-sdd"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-referencia-sdd.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 430 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00430
Opus 5 $0.00020 $0.00215
Sonnet 5 $0.00008 $0.00086
Haiku 4.5 $0.00004 $0.00043

Measured 9d ago against content hash 51467caccace, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ag-referencia-sdd 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.

skills/ag-referencia-sdd/SKILL.md · 47 lines

What it actually says

Metodologia SDD (Spec Driven Development)

Principio 80/20: 80% planejamento, 20% execucao.

Fluxo Obrigatorio para Features/Refatoracoes

PRD.md → SPEC.md → Execucao → Review
  • PRD: Problema, escopo, requisitos, metricas de sucesso
  • SPEC: Plano tecnico (max 200 linhas, dividir se maior)
  • Execucao: Implementar seguindo o SPEC exatamente
  • Review: Validar contra criterios, documentar decisoes

Quando Usar SDD

Cenario SDD?
Nova feature Sim
Bug fix complexo Sim (simplificado)
Refatoracao Sim
Hotfix urgente Nao (documentar depois)
Quick task (< 30min) Nao

Templates

PRD → /prd [feature] (skill prd-writer)

Gera PRD padronizado com problema, personas, escopo, metricas de sucesso, riscos. Output: docs/specs/{name}-prd.md (max 100 linhas)

SPEC → /spec-writer [feature] ou ag-especificar-solucao

Gera SPEC tecnica implementavel com interfaces, edge cases, criterios de aceite. Output: docs/specs/{name}-spec.md (max 200 linhas)

ADR → /adr [decisao] (skill adr)

Registra decisoes arquiteturais com contexto, alternativas e trade-offs. Output: docs/adr/ADR-{NNN}-{slug}.md (max 60 linhas)

Playbook detalhado: .claude/Playbooks/01_Spec_Driven_Development.md

Changes

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.

  1. 9d ago First seen · 47 lines · 40 tokens per session scan A 51467caccace

Subscribe to this mod's changes

ag-referencia-sdd is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (19 stars, last pushed 4d ago), licensed MIT. It adds 40 tokens to every session and 430 once invoked, about $0.0002 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 2026-09-03.

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