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unit-testing单元测试

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

186

周安装

8

GitHub Stars

公开资料未说明

下载量

65
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

3

许可证

MIT

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:unit-testing(单元测试)
来源仓库:https://github.com/jaredlander/freshbooks-speed
仓库路径:skills/unit-testing
安装命令:
npx skills add https://github.com/jaredlander/freshbooks-speed --skill unit-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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/jaredlander/freshbooks-speed --skill unit-testing

简介

unit-testing 用于辅助测试设计、自动化测试和回归验证,适合编写单元测试或分析失败日志。

  • 适用于项目测试框架搭建、端到端测试规划和夹具数据整理场景。
  • 通过 npx skills add 命令从 GitHub 仓库安装并使用。
  • 需确认项目使用的测试框架和运行命令,避免为通过测试而破坏真实逻辑。
  • 涉及浏览器或外部服务时,应区分本地模拟与生产环境。

SKILL.md

Unit Testing Skill

Write comprehensive unit tests with full coverage: happy paths, edge cases, and error conditions.

Core Principles

  1. Test behavior, not implementation - Tests verify what code does, not how
  2. One assertion concept per test - Each test validates a single logical behavior
  3. Arrange-Act-Assert structure - Setup, execute, verify
  4. Descriptive test names - Name describes scenario and expected outcome
  5. Independent tests - No test depends on another's state or execution order
  6. Fast tests - Mock expensive operations (network, disk, databases) unless integration testing

Workflow

0. MANDATORY: Use context7 Before Writing Tests

CRITICAL: Before writing ANY tests, use context7 to look up current testing framework documentation and best practices.

Always use context7 to verify:

  • Testing framework APIs (Jest, Vitest, pytest, etc.)
  • Assertion syntax and available matchers
  • Mocking/stubbing patterns
  • Testing library utilities (React Testing Library, etc.)
  • Framework-specific best practices

Process:

  1. Identify testing framework and libraries in use
  2. Use context7 resolve <framework> for each
  3. Query relevant topics: assertions, mocking, async testing, etc.
  4. Review docs before writing test code

Example:

context7 resolve vitest
context7 get-library-docs --library vitest --topic "mocking"
context7 resolve @testing-library/react
context7 get-library-docs --library @testing-library/react --topic "async"

Workflow Steps

  1. Use context7 for testing framework docs - Look up current API and patterns
  2. Analyze the code - Identify public interfaces, dependencies, edge cases, error conditions
  3. Determine test scope - Unit tests for functions/classes, integration tests for interactions
  4. Check existing structure - Follow project's existing test organization patterns
  5. Select appropriate framework - See language-specific references below
  6. Write comprehensive tests covering:

- Happy path (expected inputs produce expected outputs) - Edge cases (empty inputs, boundaries, null/None values) - Error conditions (invalid inputs, exceptions, failure modes) - State changes (side effects, mutations)

context7 Usage by Language/Framework

Before writing tests, use context7 to look up documentation for:

Language/Frameworkcontext7 Libraries to Query
JavaScript/Reactreact, vitest or jest, @testing-library/react
Pythonpytest, relevant libraries being tested
Rtestthat, tidyverse
Rustrust (built-in testing)
Gogo (testing package)
C++googletest or gtest
Node.js/Expressexpress, supertest, jest

Common topics to query:

  • "mocking", "assertions", "async testing", "setup teardown"
  • "matchers", "fixtures", "test coverage", "integration tests"

Language References

Select the appropriate reference based on the code being tested:

Language/ToolReferenceFramework
Pythonpython.mdpytest
JavaScriptjavascript.mdJest / Vitest
Rr.mdtestthat
Rustrust.mdbuilt-in #[test]
Gogo.mdtesting + testify
C++cpp.mdGoogle Test
SQL (PostgreSQL)sql.mdpgTAP
Bashbash.mdbats-core
Ansibleansible.mdMolecule + ansible-lint
Kubernetes/Kustomizekubernetes.mdkubeconform + conftest
Dockerdocker.mdhadolint + container-structure-test

Test Organization

Follow each language's conventions. When a project has existing tests, match their structure.

Mocking Strategy

Mock external dependencies based on context:

  • Always mock: Network calls, external APIs, system time
  • Consider mocking: Databases (use test DB or mock based on test type), file system
  • Rarely mock: Pure functions, data transformations

Coverage Targets

Aim for comprehensive coverage:

  • All public functions/methods
  • All code branches (if/else, match arms, error handlers)
  • Boundary conditions
  • Error handling paths

REMINDER: Always Use context7

Before writing any test code:

  1. Use context7 to look up the testing framework's current API
  2. Verify assertion syntax and available matchers
  3. Check mocking/stubbing best practices
  4. Review async testing patterns if needed

Never write tests from memory alone - always verify with current documentation using context7.

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

28.26%
按下载量换算18

windsurf

25.47%
按下载量换算17

trae

17.21%
按下载量换算11

OpenCode

11.84%
按下载量换算8

Codex

8.98%
按下载量换算6

Antigravity

3.3%
按下载量换算2

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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