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SKILL verified MIT Self-run

Dataset

skill-tbc-servicos-dataagile-agent-kit-dataset · by tbc-servicos

Cria dataset JavaScript para TOTVS Fluig com defineStructure(), createDataset(), try/catch e logging completo. Use quando precisar consultar dados no Fluig, integrar com Protheus via REST, consulta SQL, atualizar dados externos ou dataset com constraints. Suporta: SQL simples, REST Protheus (GET/POST), SQL dinâmico com validação anti-injection.

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Install

$ agentstack add skill-tbc-servicos-dataagile-agent-kit-dataset

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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● 1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Consulta MCP

Antes de gerar código, consulte o MCP tbc-knowledge:

searchFluigApi({ category: "dataset" })
// → métodos DatasetFactory, DatasetBuilder, constraints, colunas

searchFluigPatterns({ category: "template", skill: "fluig-dataset" })
// → templates: base, SQL, REST Protheus, constraints

searchFluigPatterns({ category: "naming" })
// → convenção de nomenclatura ds_[acao]_[entidade].js

Fluxo de Desenvolvimento

  1. Nomear dataset: ds_[acao]_[entidade].js
  2. Implementar defineStructure() — define colunas
  3. Implementar createDataset() — executa lógica, retorna dados
  4. Sempre usar try/catch e logging
  5. Testar com fluig-test

Instruções para Claude

  1. Perguntar antes de gerar: Qual o nome do dataset? Qual a fonte de dados (SQL, REST Protheus, dataset interno)? Quais colunas retornar? Precisa de constraints?
  2. Consultar MCP para obter o template correto conforme o tipo de dataset solicitado.
  3. Sempre incluir try/catch com log.info na entrada e log.error no catch.
  4. Validar inputs em datasets SQL dinâmico — nunca concatenar parâmetros sem sanitização.
  5. Nomear corretamente: ds_[acao]_[entidade].js em snake_case.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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