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AI Test Case Generator

纯文档型 Skill,提供从需求文本、规格说明或截图提炼核心流程、按模块组织测试点、补充异常与边界路径,并做覆盖度、可执行性与安全影响评审的工作流,产出测试范围摘要、分组测试点、含步骤与预期结果的用例、优先级标签及待确认问题。

xuxuclassmate
xuxuclassmate
热度 50.24
最近更新 2026-05-11 17:39:34
分类:开发依赖:纯提示词应用场景:工作流 / 模板

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add ai-testcase-generator
Metadata
name
ai-testcase-generator
description
Use when turning requirements, screenshots, or other QA inputs into structured test cases and review questions with an AI-assisted workflow.
tags
["testing","qa","testcases","ai","automation","review"]
version
1.0.1

AI Test Case Generator

This ClawHub package is documentation-only. It does not embed runtime binaries, install scripts, or package manifests.

When to use

  • A user wants test cases from a PRD, specification, screenshot, or plain text brief.
  • You need a structured review loop for QA coverage before implementation or release.
  • You want a checklist for turning requirements into executable test work.

Inputs to collect

  • Requirement text or a file path
  • Product stage: requirement review, implementation, or pre-release
  • Preferred output language
  • Any focus area such as security, edge cases, compatibility, or accessibility

Recommended workflow

  1. Extract the core flows. Identify user journeys, rules, dependencies, and constraints.
  2. Group coverage by module. Organize cases by feature area, API, UI surface, or role.
  3. Add negative and edge paths. Include invalid input, permission boundaries, failures, and concurrency where relevant.
  4. Run a review pass. Check coverage, clarity, execution readiness, and security impact.

Recommended outputs

  • Test scope summary
  • Test points grouped by module
  • Detailed cases with steps and expected results
  • Priority or severity labels
  • Open questions for product or engineering

Guardrails

  • Keep uploaded requirements confidential.
  • State clearly when a case depends on missing product detail.
  • Do not claim that spreadsheet, XMind, or binary exports were produced unless an actual generator runtime was used outside this skill bundle.