📦

convex-seed

Name: convex-seed
Author: get-convex

Révision du contenu r1 Sûr ⚙️ Commandes externes

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.

Prend en charge: Claude Codex Code(CC)

🥉 77 Bronze

Maintain this Skill? Claim it 🥉 77 Bronze

Installer avec mon Agent

Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.

Demande d’agent

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.

Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.

Ressources lisibles par les agents

Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.

Détail Markdown GET /skills/get-convex-convex-seed.md manifest signé GET /api/skills/get-convex-convex-seed/manifest lockfile signé GET /api/skills/get-convex-convex-seed/lockfile

Tester

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

Résultat attendu:

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.

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

Résultat attendu:

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

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

Résultat attendu:

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

Audit de sécurité

Sûr

v1 • 07/09/2026 Ouvrir le rapport versionné

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.

Fichiers analysés

Lignes analysées

Éléments à examiner

Faux positifs ignorés

Facteurs de risque

⚙️ Commandes externes (3)

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

Le dernier audit statique et sémantique terminé n’a détecté aucun constat de sécurité confirmé. Cela ne prouve pas que le skill est sans effets secondaires.

Audité par: codex

Partager et citer ce rapport

Partagez le rapport d’évaluation versionné, le badge neutre, la carte intégrable et les citations. Skillstore présente les preuves sans décider si ce Skill est sûr.

Ouvrir le rapport versionné

Copier le lien du rapport

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>

Carte intégrable

<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>

Citations académiques (APA · BibTeX · CFF)

Citation 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

Citation 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"

Score Skillstore

Pourquoi ce score Niveau de confiance des preuves: Moyen

Architecture

Maintenabilité

Contenu

Communauté

Conformité aux spécifications

Ce que vous pouvez créer

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.

Essayez ces 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.

Bonnes pratiques

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.

Éviter

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.

Foire aux questions

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.

Détails du développeur

Auteur

get-convex

Licence

MIT

Révision Skillstore

Avis de version

L’auteur n’a déclaré aucune version.

Dépôt

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

Réf

d9e5ab86dafd32a1ddde9b8b4fde177589b55b95

Récence de maintenance

08/09/2026

Utilisation

1 téléchargements · 0 vues

Structure de fichiers

📄 SKILL.md