スキル convex-seed
📦

convex-seed

コンテンツリビジョン r1 安全 ⚙️ 外部コマンド

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.

対応: Claude Codex Code(CC)
🥉 77 ブロンズ

自分のエージェントでインストール

このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。

エージェントリクエスト
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.

エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。

エージェントが読めるリソース

AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。

Markdown詳細 GET /skills/get-convex-convex-seed.md 署名済み manifest GET /api/skills/get-convex-convex-seed/manifest 署名済み lockfile GET /api/skills/get-convex-convex-seed/lockfile

テストする

「convex-seed」を使用しています。 Create repeatable fixtures for users and projects.

期待される結果:

  • 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.

「convex-seed」を使用しています。 Prepare a customer export for Convex import.

期待される結果:

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

「convex-seed」を使用しています。 Fix a seed process that duplicates records.

期待される結果:

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

セキュリティ監査

安全
v1 • 2026/9/7 バージョン別レポートを開く

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.

1
スキャンされたファイル
24
解析済み行数
0
レビュー項目
0
誤検知を無視

リスク要因

⚙️ 外部コマンド (3)
SKILL.md:10 SKILL.md:14 SKILL.md:15
最新の完了済み静的・セマンティック監査では、確認済みのセキュリティ検出事項は見つかりませんでした。これは、スキルに副作用がないことを証明するものではありません。
監査者: codex
このレポートを共有・引用

バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。

バージョン別レポートを開く
セキュリティ評価

レポートリンクをコピー

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

Markdownバッジ

[![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)

HTMLバッジ

<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>

埋め込みカード

<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>
学術引用 (APA · BibTeX · CFF)

APA形式の引用

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

BibTeX形式の引用

@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"

Skillstore スコア

このスコアの理由 証拠の信頼度: 中
55
アーキテクチャ
85
保守性
87
コンテンツ
65
コミュニティ
83
仕様準拠

作成できるもの

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.

これらのプロンプトを試す

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.

ベストプラクティス

  • 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.

回避

  • 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.

よくある質問

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.

開発者情報

作成者

get-convex

ライセンス

MIT

Skillstore リビジョン

r1

バージョンに関する注意

作者はバージョンを宣言していません。

リポジトリ

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

参照

d9e5ab86dafd32a1ddde9b8b4fde177589b55b95

メンテナンスの新しさ

2026/9/8

利用状況

1 ダウンロード · 0 閲覧

ファイル構成

📄 SKILL.md