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unit-test-shifting-left-from-requirements单元测试从需求左移

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

198

周安装

8

GitHub Stars

5

下载量

62
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:unit-test-shifting-left-from-requirements(单元测试从需求左移)
来源仓库:https://github.com/wizeline/sdlc-agents
仓库路径:skills/unit-test-shifting-left-from-requirements
安装命令:
npx skills add https://github.com/wizeline/sdlc-agents --skill unit-test-shifting-left-from-requirements
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/wizeline/sdlc-agents --skill unit-test-shifting-left-from-requirements

简介

该技能将测试活动前置到需求分析阶段以减少后期缺陷成本。

  • 适用于 DevOps 左移理念落地实践。
  • 可提取需求中的可测试点转化为验收标准。
  • 需建立跨职能协作机制确保各方理解一致。
  • unit-test-shifting-left-from-requirements 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

What This Skill Does

Generates unit tests and BDD scenarios directly from requirements, user stories, or PRDs — before any implementation code exists. Enables true shift-left testing by making tests the first artifact produced for a feature, not the last.


When to Apply This Skill

  • A user story, acceptance criteria, or PRD is provided with no accompanying code
  • A team wants tests ready before the developer starts implementation
  • BDD / Gherkin scenarios are needed to align QA, dev, and product on expected behavior
  • A feature's testability needs to be validated before implementation begins

TDD Framing

This skill operationalizes the Red phase of the Red-Green-Refactor cycle at scale. Every test skeleton produced here is a failing test by design — it cannot pass until the developer writes the implementation. Outputs from this skill should be committed to the repository before any implementation code is written, making the failing tests the formal definition of done for the feature.


Atomic Skills to Load First

Read these files before executing any step:

  1. ../unit-test-generating-unit-tests/SKILL.md — Test matrix methodology and AAA pattern applied in spec-driven mode: derive test cases from acceptance criteria rather than from code paths
  2. ../unit-test-authoring-test-plans/SKILL.md — BDD / Gherkin scenario format (Feature / Scenario / Given / When / Then) used to produce human-readable scenario documents alongside test skeletons

Execution Steps

Read references/index.md before executing any step.

Step 1 — Parse Requirements for Testable Criteria

Read the provided input (user story, PRD, acceptance criteria) and extract:

  • Explicit acceptance criteria ("system shall...", "given... when... then...")
  • Implicit behavioral rules buried in prose descriptions
  • Edge cases and error conditions mentioned in requirements
  • Out-of-scope statements (note these — do not generate tests for them)

Produce a numbered list of testable statements before writing any test code.

Step 2 — Build the Test Case Matrix

For each testable statement, define:

#Requirement SourceConditionExpected BehaviorCategory
1AC-3Valid user logs inJWT token returnedHappy
2AC-3Wrong password401 returnedError

Use the test matrix approach from ../unit-test-generating-unit-tests/SKILL.md.

Step 3 — Generate Test Skeletons

Produce test skeletons with:

  • Correct function/method names following the naming convention
  • ARRANGE / ACT / ASSERT sections stubbed out
  • TODO comments where implementation-specific values are not yet known
  • Placeholder mocks only for true externalities (DB, API, file, clock) — not internal logic
  • Fixed seeds for any randomness; mocked time for any date/time assertions
  • One behavior per test — if a requirement yields three behaviors, write three skeletons

Each skeleton must be written so it will fail when run against an empty implementation. If a skeleton could accidentally pass without any code written, it is too weak — strengthen the assertion.

Example (pytest):

def test_login_when_valid_credentials_expects_jwt_token():
    # ARRANGE
    username = "alice"
    password = "valid_password"  # TODO: align with auth service contract
    # ACT
    result = login(username, password)  # TODO: import once implemented
    # ASSERT
    assert result.token is not None      # will fail until implemented
    assert result.status_code == 200

Step 4 — Produce BDD / Gherkin Scenarios

For each test case, produce a corresponding Gherkin scenario following the format in ../unit-test-authoring-test-plans/SKILL.md:

Feature: User Login

  Scenario: Successful login with valid credentials
    Given a registered user with username "alice"
    When the user submits correct credentials
    Then the system returns a JWT token
    And the response status is 200

  Scenario: Login fails with incorrect password
    Given a registered user with username "alice"
    When the user submits an incorrect password
    Then the response status is 401
    And the body contains "Invalid credentials"

Step 5 — Flag Ambiguities

Before delivering output, list any requirements that were:

  • Too vague to produce a test for (request clarification)
  • Contradictory with other requirements (flag for product review)
  • Missing expected values or thresholds (mark with TODO)

Output Deliverables

test_<feature>_skeleton.<ext>     <- test skeletons ready to fill in once code is written
gherkin_scenarios_<feature>.md   <- BDD scenarios for QA and product alignment
requirements_coverage_map.md     <- maps each requirement to one or more test IDs
ambiguities.md                   <- list of unclear or incomplete requirements

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

37.29%
按下载量换算23

Claude

30.13%
按下载量换算19

Cursor

16.51%
按下载量换算10

Gemini CLI

8.51%
按下载量换算5

安全审计

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Snyk

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权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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