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testing测试

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

总安装

412

周安装

17

GitHub Stars

2,674

下载量

135
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:testing(测试)
来源仓库:https://github.com/bytebase/dbhub
仓库路径:skills/testing
安装命令:
npx skills add https://github.com/bytebase/dbhub --skill testing
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/bytebase/dbhub --skill testing

简介

testing 用于协助运行、编写与调试 DBHub 项目的单元测试与集成测试,支持 watch 模式与模式匹配。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中执行 pnpm test/unit/watch/integration 等命令。
  • 使用时需注意集成测试依赖 Docker,建议使用 verbose reporter 排查失败用例与环境问题。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • testing 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Testing Skill

This skill helps you run, write, and troubleshoot tests in the DBHub project.

Test Commands

pnpm test              # Run all tests (unit + integration)
pnpm test:unit         # Unit tests only (no Docker needed)
pnpm test:watch        # Interactive watch mode
pnpm test:integration  # Integration tests only (requires Docker)

Run a specific test file:

pnpm test src/connectors/__tests__/postgres.integration.test.ts
pnpm test src/utils/__tests__/allowed-keywords.test.ts

Run tests matching a name pattern:

pnpm test -- --testNamePattern="PostgreSQL"

Verbose output for debugging:

pnpm test:integration --reporter=verbose

Test Architecture

Vitest is configured with two projects in vitest.config.ts:

  • unit: All *.test.ts files excluding *integration* in the filename
  • integration: Only *integration*.test.ts files

This means the naming convention matters — integration tests MUST have integration in their filename to be correctly categorized.

Test File Locations

Unit tests (~20 files, no Docker needed):

  • src/utils/__tests__/ — Utility function tests (SQL parsing, DSN obfuscation, SSH config, allowed keywords, identifier quoting, parameter mapping, row limiting, safe URL, config watcher, AWS RDS signer)
  • src/tools/__tests__/ — Tool handler tests (execute-sql, search-objects, custom-tool-handler)
  • src/config/__tests__/ — Configuration tests (env parsing, TOML loading)
  • src/connectors/__tests__/ — Connector unit tests (dsn-parser, manager)
  • src/requests/__tests__/ — Request store tests

Integration tests (~11 files, Docker required):

  • src/connectors/__tests__/postgres.integration.test.ts
  • src/connectors/__tests__/mysql.integration.test.ts
  • src/connectors/__tests__/mariadb.integration.test.ts
  • src/connectors/__tests__/sqlserver.integration.test.ts
  • src/connectors/__tests__/sqlite.integration.test.ts
  • src/connectors/__tests__/postgres-ssh.integration.test.ts
  • src/connectors/__tests__/multi-sqlite-sources.integration.test.ts
  • src/__tests__/json-rpc-integration.test.ts
  • src/api/__tests__/sources.integration.test.ts
  • src/api/__tests__/requests.integration.test.ts
  • src/config/__tests__/ssh-config-integration.test.ts

IntegrationTestBase

Database connector integration tests extend IntegrationTestBase<TContainer> from src/connectors/__tests__/shared/integration-test-base.ts. This abstract class provides:

  • Lifecycle: Container start in beforeAll (120s timeout) → connect → setup test data → run tests → cleanup in afterAll
  • Shared test suites: createConnectionTests(), createSchemaTests(), createTableTests(), createSQLExecutionTests(), createStoredProcedureTests(), createCommentTests(), createErrorHandlingTests()
  • Standard test data: users table (id, name, email, age) + orders table (id, user_id, amount) + test_schema.products

To add a new database connector test, extend this class and implement:

  • createContainer() — Start the Testcontainers instance
  • createConnector() — Create the database connector
  • setupTestData(connector) — Populate test tables

Test Fixtures

Located in src/__fixtures__/:

  • helpers.ts — Utilities: fixtureTomlPath(), loadFixtureConfig(), setupManagerWithFixture()
  • toml/multi-sqlite.toml — Three in-memory SQLite databases (database_a, database_b, database_c)
  • toml/readonly-maxrows.toml — Sources with readonly/max_rows tool configurations

Usage:

import { setupManagerWithFixture, FIXTURES } from '../../__fixtures__/helpers.js';
const manager = await setupManagerWithFixture(FIXTURES.MULTI_SQLITE);
// ... test ...
await manager.disconnect();

Mocking Patterns

Unit tests use vitest mocking:

vi.mock('../../connectors/manager.js');  // Mock ConnectorManager
vi.mocked(ConnectorManager.getCurrentConnector).mockReturnValue(mockConnector);

SSH tunnel tests mock SSHTunnel.prototype.establish to avoid real SSH connections while testing config passing.

Integration Testing

Integration tests use Testcontainers to run real database instances in Docker.

Prerequisites

Before running integration tests:

  1. Docker is installed and running: docker ps
  2. Sufficient Docker memory (4GB+ recommended, especially for SQL Server)
  3. Network access to pull Docker images

Database Images

DatabaseImageNotes
PostgreSQLpostgres:15-alpineFast startup
MySQL@testcontainers/mysqlSupports IAM auth testing
MariaDB@testcontainers/mariadbSupports IAM auth testing
SQL Server@testcontainers/mssqlserverSlow startup (3-5 min), needs 4GB+ RAM
SQLiteNo container neededIn-memory or file-based

Troubleshooting

Container Startup Failures

docker ps                    # Verify Docker is running
docker system df             # Check disk space
docker pull postgres:15-alpine  # Manually pull images

SQL Server Timeouts

SQL Server containers are the slowest to start (3-5 minutes). Run them separately and ensure Docker has 4GB+ memory:

pnpm test src/connectors/__tests__/sqlserver.integration.test.ts

Test Isolation Issues

Each integration test manages its own container lifecycle. If containers leak, clean up:

docker ps -a | grep testcontainers  # Find leaked containers
docker container prune               # Clean up stopped containers

CI Failures

The CI workflow (.github/workflows/run-tests.yml) runs unit and integration tests as separate parallel jobs on PR events. Unit tests don't need Docker; integration tests verify Docker availability first. Check the specific job that failed.

Adding New Tests

Unit test: Create src/{module}/__tests__/{name}.test.ts — will auto-run with pnpm test:unit.

Integration test: Create src/{module}/__tests__/{name}.integration.test.ts — the integration in the filename is what routes it to pnpm test:integration.

New connector test: Extend IntegrationTestBase, implement the three abstract methods, and call the shared test suite methods.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.98%
按下载量换算45

Claude

31.48%
按下载量换算42

Cursor

17.59%
按下载量换算24

Gemini CLI

9.72%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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