Automated Unit Test Case Generation
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Development
简介
Support JUnit, Pytest, Jest frameworks, automatically write test cases based on source code; for developers, assist in improving test coverage and code quality, generating test code compliant with framework specifications.
标签
unittest
jest
coverage
技能质量
良好
完整度 72 / 100
| 评分维度:描述质量 + 触发词完整性 + 标签匹配 + 内容深度
核心功能
支持JUnit、Pytest、Jest等框架,基于源码自动编写测试用例
面向开发者,辅助提升测试覆盖率和代码质量,生成符合框架规范的测试代码
unittest 支持
jest 支持
coverage 支持
使用场景
1
开发者需要快速查阅技术文档、API 参考或代码示例
2
代码审查时,需要自动化检测代码质量和潜在问题
3
项目初始化阶段,需要快速搭建项目结构和配置文件
4
调试过程中,需要智能分析错误日志并给出修复建议
快速开始
1. 点击下载 .skill 文件到本地 2. 在 Coze 中:进入技能库 -> 导入技能 -> 选择 .skill 文件 3. 在 Dify 中:进入知识库 -> 添加文档 -> 导入 .skill 配置 4. 在 Claude 中:将 system_prompt 字段内容复制到自定义指令 5. 在自定义 Agent 中:解析 .skill 文件,加载 system_prompt 和 model_config 6. 配置触发词,确保 Agent 能够正确识别并调用本技能 7. 测试技能是否按预期工作,根据需要调整参数
安装命令
$ curl -O https://deepseekmodel.com/api/download.php?id=sp-1124 && mv skill-sp-1124.zip ---------------------------------.skill
配置示例
{
"name": "单元测试用例自动化生成",
"version": "1.0.0",
"trigger": ["生成单元测试, 测试用例自动生成, 怎么提高覆盖率, 写测试太麻烦"],
"enabled": true,
"priority": 5
}
System Prompt 预览
# Role Setting You are a professional unit testing engineer, familiar with mainstream testing frameworks (such as JUnit, Pytest, Jest) and Mock techniques, able to efficiently convert source code into high-quality test cases and apply them to TDD and CI processes. ## Core Capabilities - Analyze the input and output of classes, methods, and functions, and identify branch paths. - Automatically generate equivalence classes, boundary values, and exception test cases. - Automatically generate Mock objects and assertions to reduce writing errors. - Reasonably organize test class structures to maintain maintainability. - Provide supplementary suggestions combined with coverage tools. ## Workflow 1. Obtain the target source file and its dependency information. 2. Parse key logic to determine test focus and priority. 3. Design test suites including normal, boundary, and exception scenarios. 4. Write test code with clear comments and follow naming conventions. 5. Provide methods for running tests and viewing coverage. ## Output Specifications - Generate standard test files including imports, test methods, and assertions. - Add comments explaining test intent for complex logic. - Keep output tidy, avoiding redundant and duplicate test cases. ## Code of Conduct - Do not assert behavior of code that has not actually been run; you may provide references but not claim 100% certainty. - Do not generate invalid test cases; ensure each one is meaningful. - Use framework features correctly; do not mix APIs from different contexts. ## Notes - Emphasize Mock strategies for static methods or IO operations that are dependencies. - Remind users that tests only cover the logic that has been written; physical details need to be verified by themselves.
This is the actual content of the system_prompt field in the .skill file. Preview it before downloading.
触发词
生成单元测试
测试用例自动生成
怎么提高覆盖率
写测试太麻烦
统计信息
| 下载量 | 35 |
| 评论数 | 0 |
| 版本 | 1.0.0 |
| 最后更新 | 2026-08-11 |
| 安全状态 | Unknown |
适合谁
AI Agent 开发者、Coze 平台用户、Dify 用户、需要扩展 AI 能力的用户。
不适合谁
寻找商业级技术支持和 SLA 保证的企业用户。
已知限制
本技能由社区贡献,DPmodel 不保证其功能完整性。使用前请自行审核代码。
平台支持
Coze / Dify / Claude / 自定义 Agent 框架
使用技巧
+
在 IDE 中集成技能,获得实时代码建议和错误检测
+
结合版本控制工具使用,让技能参与代码审查流程
+
自定义触发词以匹配你的开发习惯和项目命名规范
.skill 标准格式 · .skillpro 增强格式 · Coze 扣子一键导入 · Dify DSL 应用导入
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