📦

convex-seed

Name: convex-seed
Author: get-convex

Ревизия содержимого r1 Безопасно ⚙️ Внешние команды

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.

Поддерживает: Claude Codex Code(CC)

🥉 77 Бронза

Установить с помощью моего Агента

Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.

Запрос агента

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.

Ваш Агент по-прежнему должен показать план и запросить все подтверждения, требуемые политикой безопасности.

Ресурсы для AI-агентов

Используйте эти ссылки, когда AI-агенту, crawler или script нужен чистый контекст вместо полной страницы.

Markdown-детали GET /skills/get-convex-convex-seed.md Подписанный manifest GET /api/skills/get-convex-convex-seed/manifest Подписанный lockfile GET /api/skills/get-convex-convex-seed/lockfile

Протестировать

Использование «convex-seed». Create repeatable fixtures for users and projects.

Ожидаемый результат:

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.

Использование «convex-seed». Prepare a customer export for Convex import.

Ожидаемый результат:

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

Использование «convex-seed». Fix a seed process that duplicates records.

Ожидаемый результат:

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

Аудит безопасности

Безопасно

v1 • 07.09.2026 Открыть версионный отчет

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.

Просканировано файлов

Проанализировано строк

Пункты проверки

Ложные срабатывания проигнорированы

Факторы риска

⚙️ Внешние команды (3)

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

Последний завершенный статический и семантический аудит не обнаружил подтвержденных проблем безопасности. Это не доказывает отсутствие побочных эффектов у навыка.

Аудитор:: codex

Поделиться и цитировать этот отчет

Делитесь версионным отчетом об оценке, нейтральным значком, встраиваемой карточкой и цитатами. Skillstore публикует доказательства, не решая, безопасен ли этот Skill.

Открыть версионный отчет

Копировать ссылку на отчёт

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

Значок 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)

Значок 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>

Встраиваемая карточка

<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>

Академические ссылки (APA · BibTeX · CFF)

Цитата 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

Цитата 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"

Оценка Skillstore

Почему такая оценка Достоверность доказательств: Средний

Архитектура

Сопровождаемость

Контент

Сообщество

Соответствие спецификации

Что вы можете построить

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.

Попробуйте эти промпты

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.

Лучшие практики

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.

Избегать

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.

Часто задаваемые вопросы

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.

Сведения для разработчиков

Автор

get-convex

Лицензия

MIT

Ревизия Skillstore

Примечание о версии

Автор не указал версию.

Репозиторий

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

Ссылка

d9e5ab86dafd32a1ddde9b8b4fde177589b55b95

Актуальность поддержки

08.09.2026

Использование

0 загрузок · 0 просмотров

Структура файлов

📄 SKILL.md