技能 convex-seed

📦

convex-seed

Name: convex-seed
Author: get-convex

内容修订 r1 安全 ⚙️ 外部命令

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.

支持: Claude Codex Code(CC)

🥉 77 青铜

使用我的智能体安装

将此请求复制给你的智能体，其中包含权威 Skill 页面和清单。

智能体请求

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.

你的智能体仍应展示其计划，并按安全策略请求必要确认。

Agent 可读资源

当 AI Agent、爬虫或脚本需要干净上下文，而不是读取完整页面时，请使用这些链接。

Markdown 详情 GET /skills/get-convex-convex-seed.md 已签名 manifest GET /api/skills/get-convex-convex-seed/manifest 已签名 lockfile GET /api/skills/get-convex-convex-seed/lockfile

测试它

正在使用“convex-seed”。 Create repeatable fixtures for users and projects.

预期结果:

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.

正在使用“convex-seed”。 Prepare a customer export for Convex import.

预期结果:

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

正在使用“convex-seed”。 Fix a seed process that duplicates records.

预期结果:

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

安全审计

安全

v1 • 2026/9/7 打开版本化报告

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.

已扫描文件

分析行数

复核项

已忽略误报

风险因素

⚙️ 外部命令 (3)

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

最新一次完成的静态与语义审计未检测到已确认的安全发现。这并不能证明该 Skill 没有副作用。

审计者: codex

分享与引用此报告

分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据，不判断该 Skill 是否安全。

打开版本化报告

复制报告链接

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

Markdown 徽章

[![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 徽章

<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>

嵌入卡片

<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>

学术引用 (APA · BibTeX · CFF)

APA 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 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 评分

评分依据证据置信度: 中

架构

可维护性

内容

社区

规范符合性

你能构建什么

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.

试试这些提示

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.

最佳实践

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.

避免

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.

常见问题

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.

开发者详情

作者

get-convex

许可证

MIT

Skillstore 修订

版本提示

作者未声明版本。

仓库

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

引用

d9e5ab86dafd32a1ddde9b8b4fde177589b55b95

维护新鲜度

2026/9/8

使用量

0 次下载 · 0 次浏览

文件结构

📄 SKILL.md