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Skill Function Testing — DeepSeek Harness 插件(DSH Plugin)
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dsh-skill-function-testing

Skill Function Testing

DeepSeek Harness 技能包:function-testing(加载 SKILL.md)。

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add github:addxing/function-testing#d14cb5409d9362f7e007797ecd732b2e883443b7
README兼容性版本

兼容性与来源证明

Skill Function Testing 以 dsh-skill-function-testing 发布,当前版本为 0.1.0。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
any
发布来源
github
Registry 更新时间
2026/9/24

版本

0.1.0stable
2026/9/24

相关插件

正在加载相关插件…

最新版
0.1.0
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
未提供
文件数
未提供
Surface
any
许可证
Apache-2.0
发布源
github
GitHub
★ 1
周下载
0
最近提交
2026/9/24
查看源码 ↗
README Badge

点击下方 Badge 复制 Markdown,粘贴到 README 即可。

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README

Function Testing

skills.sh

A skill for generating functional test cases from PRDs, Git commits, or user stories, and exporting an Excel-style test report. Works with AI coding tools that support Agent Skills.

Install

npx skills add addxing/function-testing

DeepSeek Harness

This repo follows the DeepSeek Harness (DSH) Skill format. Clone it into a skills directory and it will be auto-discovered:

# User-level install (available in all projects)
git clone https://github.com/addxing/function-testing ~/.dsh/skills/function-testing

# Project-level install (current project only)
git clone https://github.com/addxing/function-testing .dsh/skills/function-testing

DSH hot-reloads the skills directory after cloning; the skill becomes available in new sessions.

Or install it as an official bundle plugin in one line (requires pnpm; restart the web app afterwards):

dsh plugin --profile web add "github:addxing/function-testing#main"

Usage

Select this skill using your tool’s skill mechanism, or ask for it by name. Invocation syntax and automatic activation depend on the tool.

After installing the skill, ask your AI agent to use it when you need functional test cases:

Use the function-testing skill to generate test cases for this PRD.

For best results, provide one of:

  • a PRD or requirements document
  • Git commit details or a diff
  • a user story or feature description

What It Does

This skill guides an agent to:

  • analyze the input material and identify its source type
  • extract testable functional points
  • design concise test cases covering positive, negative, boundary, state transition, and data consistency scenarios
  • assign priorities such as P0, P1, and P2
  • generate an Excel report with overview, feature list, and test case sheets

Files

  • SKILL.md - the skill instructions
  • LICENSE.txt - Apache 2.0 license

Chinese Documentation

See README.zh.md.