ag-referencia-mock-first

ag-referencia-mock-first is a skill for Claude Code from andregusman-raiz/a-gusman-claude. It costs 51 tokens per session (1,003 once invoked), scanned A, original, MIT.

A methodology for building integration frontends with mock data before connecting them to a real external API.

In plain words
What is it for?
Use it when starting an ERP, CRM, or legacy-system integration, planning the move from mock data to an API, or preparing adapters and feature flags.
Why use it?
It lets developers complete and review the interface while the API is unavailable or still changing, then prepare a controlled transition to live data.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter.

Good fit Use it when starting an ERP, CRM, or legacy-system integration, planning the move from mock data to an API, or preparing adapters and feature flags.

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Install with agentmods
npx agentmods add skills/andregusman-raiz/a-gusman-claude/ag-referencia-mock-first
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-mock-first
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.

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README.md
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Your own site
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Your own site · 80×15
<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-referencia-mock-first"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-referencia-mock-first.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,003 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.
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 $0.00051 $0.01003
Opus 5 $0.00026 $0.00502
Sonnet 5 $0.00010 $0.00201
Haiku 4.5 $0.00005 $0.00100

Measured 9d ago against content hash d760bdc48b94, 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-mock-first 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-mock-first/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ag-referencia-mock-first — Metodologia Mock-First (Reference Skill)

Quando usar

  • Iniciando projeto que integra com API externa (ERP, CRM, legado)
  • Planejando migração de mock data para API real
  • Revisando se o protótipo está pronto para integração
  • Definindo adapters, providers ou feature flags

As 6 Fases

Fase 1 — Estrutura e Mock Data

  • Definir módulos e rotas (lista completa)
  • Criar mock data com seed determinístico (reproduzível, 100-500 registros)
  • Criar mock store mutável (Map in-memory para write-back)
  • Criar schemas Zod para cada server action
  • Volumetria real declarada: 2 camadas desacopladas — número real publicado (constante VOLUMETRIA_REAL documentada, com fonte) vs amostra gerada para popular a UI (teto ~5k registros; acima do teto, usar amostra % com racional explícito de por que representa o todo). KPI/contador na UI mostra sempre o número real publicado — nunca dataset.length do mock.

Fase 2 — UI Completa com Mock

  • Construir todas as páginas consumindo mocks diretamente
  • Padronizar design system (KPI Card, tabelas, cores, filtros)
  • Server Actions com safeAction(schema, data, handler) pattern
  • ActionResult padronizado: { success, data } | { success: false, error }

Fase 3 — Auditoria UX

  • Capturar screenshots de todas as rotas via Playwright CLI
  • Estados universais: cada rota também capturada em ?estado=loading, ?estado=vazio, ?estado=erro (hook useEstadoDemo, gate de ambiente) — mecanismo padrão para provar estados sem backend
  • Análise visual por critério (hierarquia, densidade, consistência, cores, empty states)
  • Classificar problemas (P0 dados, P1 visual, P2 feature, P3 polish)
  • Corrigir em sprints por prioridade

Fase 4 — Preparação para Integração

  • Error boundaries (error.tsx) em cada route group
  • Loading states (loading.tsx) com skeleton
  • API Contracts (interfaces TypeScript do shape externo)
  • Adapters (ExternalType → AppType)
  • Providers (flag → mock | API real)
  • Feature Flags (toggle mock/real por módulo)
  • REST/SOAP clients com gotchas documentadas no código

Read the full file on GitHub · 86 lines

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 · 86 lines · 51 tokens per session scan A d760bdc48b94

Subscribe to this mod's changes

ag-referencia-mock-first is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (19 stars, last pushed 4d ago), licensed MIT. It adds 51 tokens to every session and 1,003 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 2026-09-03.

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