test

Standardize AI agent testing with AAA structure, mocks, and CI/CD guidelines.

Updated Apr 29, 2026
One-click install
npx skills add https://github.com/BobJu0721/line-bot --skill test-bobju0721
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: test
Source: https://github.com/BobJu0721/line-bot/tree/main/.agents/skills/test
Command: npx skills add https://github.com/BobJu0721/line-bot --skill test-bobju0721

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

本 Skill 提供一套完整的測試規範,協助 AI Agent 在撰寫與執行測試時遵循一致的品質標準、建立可重用的測試素材,提升回歸檢驗的有效性。

Core Features & Use Cases

  • 測試金字塔原則與分級測試策略(單元、整合、端對端)以提高測試效率與信心。
  • 規範單元測試的 AAA 結構、Mock 原則與命名慣例,並提供整合測試與 E2E 的案例框架。
  • 提供測試資料管理、自我檢查清單與 CI/CD 整合規範,確保測試在實際開發流程中可落地。

Quick Start

直接撰寫一個單元測試用例以驗證使用者註冊流程的成功分支。

Frequently Asked Questions about test

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure unit tests for AI agents to validate business logic?

Apply the AAA testing structure to standardize unit tests for AI agents. This pattern enforces Arrange, Act, and Assert phases, ensuring clear separation of test setup, execution, and verification for reliable business logic validation.

What is the best way to manage test data across integration and e2e testing?

Manage test data for integration and e2e testing through standardized data management guidelines. These rules ensure consistent test data setup and teardown, maintaining reliable validation across end-to-end environments.

How does the testing pyramid apply to quality assurance for AI skills?

The testing pyramid applies to quality assurance by prioritizing unit, integration, and e2e tests. This hierarchical strategy maximizes testing efficiency and confidence while minimizing slow, brittle end-to-end checks.

Can I integrate automated testing into my CI/CD pipeline?

You can integrate automated testing into CI/CD pipelines using provided integration guidelines. These specify quality gates and self-checklists to ensure tests execute automatically and block deployments upon failure.

When should I use mocks in AI agent testing?

Use mocks in AI agent testing when isolating external dependencies or complex subsystems. Established mock rules specify when to replace actual components, ensuring tests remain fast and focused on target logic.