📦

convex-seed

Name: convex-seed
Author: get-convex

Revisão do conteúdo r1 Seguro ⚙️ Comandos externos

Seed Convex Databases Safely

Preparing reliable fixtures and bulk data for Convex can require repetitive schema checks and careful reruns. This skill guides idempotent internal mutations and CLI imports.

Suporta: Claude Codex Code(CC)

🥉 77 Bronze

Instalar com meu Agente

Copie esta solicitação para o seu Agente. Ela inclui a página canônica do Skill e o manifesto.

Solicitação do agente

Review the Skillstore skill "convex-seed" from https://skillstore.io/skills/get-convex-convex-seed.md and its manifest at https://skillstore.io/api/skills/get-convex-convex-seed/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Seu Agente ainda deve apresentar o plano e solicitar qualquer confirmação exigida pela política de segurança.

Recursos legíveis por agentes

Use estes links quando um agente de IA, crawler ou script precisar de contexto limpo em vez de ler a página completa.

Detalhe em Markdown GET /skills/get-convex-convex-seed.md manifest assinado GET /api/skills/get-convex-convex-seed/manifest lockfile assinado GET /api/skills/get-convex-convex-seed/lockfile

Testar

Usando "convex-seed". Create repeatable fixtures for users and projects.

Resultado esperado:

Seed users before projects so project references resolve correctly.
Use stable identifiers or an upsert strategy to prevent duplicates.
Verify user and project row counts after the mutation completes.

Usando "convex-seed". Prepare a customer export for Convex import.

Resultado esperado:

A field-mapping plan that aligns source columns with Convex validators, excludes sensitive values, runs the import, and verifies the final row count.

Usando "convex-seed". Fix a seed process that duplicates records.

Resultado esperado:

An idempotent workflow using either clear-then-insert for disposable fixtures or upsert for records that must remain stable.

Auditoria de segurança

Seguro

v1 • 07/09/2026 Abrir o relatório versionado

All three static findings are false positives caused by Markdown backticks around documented Convex CLI commands. SKILL.md contains workflow guidance only, includes no executable shell code, and explicitly warns against seeding secrets or PII.

Arquivos analisados

Linhas analisadas

Itens de revisão

Falsos positivos ignorados

Fatores de risco

⚙️ Comandos externos (3)

SKILL.md:10 SKILL.md:14 SKILL.md:15

A auditoria estática e semântica concluída mais recente não detectou achados de segurança confirmados. Isso não comprova que a skill não tenha efeitos colaterais.

Auditado por: codex

Compartilhar e citar este relatório

Compartilhe o relatório de avaliação versionado, o badge neutro, o cartão incorporável e as citações. A Skillstore apresenta evidências sem decidir se este Skill é seguro.

Abrir o relatório versionado

Copiar link do relatório

https://skillstore.io/skills/get-convex-convex-seed/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Badge Markdown

[![Skillstore security assessment](https://skillstore.io/badges/skills/get-convex-convex-seed/security.svg)](https://skillstore.io/skills/get-convex-convex-seed?utm_source=security_passport_badge)

Badge HTML

<a href="https://skillstore.io/skills/get-convex-convex-seed?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/get-convex-convex-seed/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

Cartão incorporável

<iframe src="https://skillstore.io/embed/skills/get-convex-convex-seed.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

Citações acadêmicas (APA · BibTeX · CFF)

Citação APA

get-convex. (2026). convex-seed security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/get-convex-convex-seed/audits/1

Citação BibTeX

@techreport{get-convex-get-convex-convex-seed-2026,
  author = {get-convex},
  title = {convex-seed security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/get-convex-convex-seed/audits/1},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "convex-seed security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "get-convex"
date-released: "2026-09-07"
url: "https://skillstore.io/skills/get-convex-convex-seed/audits/1"
identifiers:
  - type: other
    value: "skillstore:get-convex-convex-seed:audit:1"
    description: "Skillstore immutable audit report identifier"

Pontuação do Skillstore

Por que esta pontuação Confiança das evidências: Médio

Arquitetura

Manutenibilidade

Conteúdo

Comunidade

Conformidade com a especificação

O que você pode criar

Prepare Local Fixtures

Create repeatable sample records for local feature development and testing.

Import Existing Data

Shape a bulk dataset to match Convex validators before importing it.

Standardize Team Seeding

Define an idempotent seed workflow with verification for shared development environments.

Teste estes prompts

Create Basic Fixtures

Create a Convex internalMutation that seeds sample rows for [table]. Match these validators: [schema]. Make reruns safe.

Plan a Bulk Import

Plan a Convex bulk import for [dataset]. Compare its fields with [schema], identify required transformations, and include row count verification.

Make Seeding Idempotent

Review this Convex seed workflow: [workflow]. Choose clear-then-insert or upsert, explain the choice, and prevent duplicate records.

Design a Multi-Table Seed Workflow

Design an idempotent Convex seed workflow for these related tables: [tables and schemas]. Preserve dependencies, avoid sensitive data, and verify each table count.

Boas práticas

Match every seeded or imported field to the current Convex validators.
Use clear-then-insert or upsert so rerunning the workflow remains predictable.
Verify row counts and review the target deployment after each operation.

Evitar

Do not seed secrets or personal data into a shared deployment.
Do not use append-only inserts when the workflow must support reruns.
Do not import data before checking field shapes against schema validators.

Perguntas frequentes

What seeding methods does this skill cover?

It covers internalMutation fixture functions and bulk imports through the Convex CLI.

Can I rerun the generated seed workflow?

Yes, when it uses clear-then-insert or upsert as recommended.

Does this skill generate fixture data?

It can guide fixture design, but the skill does not include ready-made fixture files.

Will it validate my data automatically?

No. It instructs the agent to match your schema, but you must provide and review the validators.

Can I use it with a production deployment?

The workflow can target configured deployments, but production imports require independent review, backups, and careful access controls.

How does it protect sensitive data?

It explicitly prohibits seeding secrets or personal data into shared deployments. You remain responsible for reviewing source data.

Detalhes do desenvolvedor

Autor

get-convex

Licença

MIT

Revisão da Skillstore

Aviso de versão

O autor não declarou uma versão.

Repositório

https://github.com/get-convex/agent-skills/tree/c41ece22681a50d326e54f30d24148a6d46d0c3c/skills/convex-seed

Referência

d9e5ab86dafd32a1ddde9b8b4fde177589b55b95

Atualidade da manutenção

09/09/2026

Uso

1 downloads · 0 visualizações

Estrutura de arquivos

📄 SKILL.md