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qa-test-plan质量保证测试计划

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

372

周安装

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公开资料未说明

下载量

131
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:qa-test-plan(质量保证测试计划)
来源仓库:https://github.com/validkeys/sherpy
仓库路径:skills/qa-test-plan
安装命令:
npx skills add https://github.com/validkeys/sherpy --skill qa-test-plan
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/validkeys/sherpy --skill qa-test-plan

简介

用于辅助测试设计、自动化测试、用例整理和回归验证。

  • 适合编写单元测试、端到端测试、测试计划或根据失败日志定位问题。
  • 使用时需确认项目测试框架、运行命令和夹具数据,避免为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。
  • 安装前建议确认权限范围和维护状态,以及是否会触发联网或文件读写。

SKILL.md

QA Test Plan

Generates a structured QA test plan from completed requirements artifacts. Produces test suites that map directly to business requirements and user personas so QA teams know exactly what to test during each delivery timeline QA round.

Prerequisites

  • {base_directory}/requirements/business-requirements.yaml (output from /business-requirements-interview)
  • {base_directory}/requirements/technical-requirements.yaml (output from /technical-requirements-interview)

Usage

/qa-test-plan [base-directory]

If no directory is provided, auto-detect by looking for requirements/business-requirements.yaml in the current directory.

If not found, prompt the user: "Where are your requirements documents located?"

Wait for the user to provide a path before proceeding. Store as base_directory.

Process

Step 1: Determine Base Directory and Load Requirements

If no directory parameter was provided, check if requirements/business-requirements.yaml exists in the current directory.

  • If found, use current directory as base_directory
  • If not found, prompt: "Where are your requirements documents located?" and wait for user response

Once base_directory is determined, read both requirements files from {base_directory}/requirements/. Extract:

From business-requirements.yaml:

  • Functional requirements and user stories
  • User personas and their primary use cases
  • Success criteria and metrics
  • Known constraints and edge conditions

From technical-requirements.yaml:

  • API surface (endpoints, inputs, outputs)
  • Authentication and authorization model
  • Non-functional requirements (performance targets, uptime SLAs)
  • Data model constraints (required fields, uniqueness, formats)
  • Security requirements

Step 2: Identify Test Suites

Group test coverage into suites. Each suite maps to a coherent functional area (not to individual milestones). Derive suites directly from the requirements — do not invent features not present in the source documents.

Standard suite categories to consider (include only those applicable):

CategoryDriven by
AuthenticationAuth model in technical requirements
Core User FlowsUser personas + functional requirements
Data ValidationData model constraints
API ContractAPI design in technical requirements
Permissions & RolesAuthorization model
Error HandlingEdge cases in requirements + API error states
PerformanceNon-functional performance targets
SecuritySecurity requirements
IntegrationExternal dependencies in technical requirements

Step 3: Generate Test Cases per Suite

For each suite, write test cases covering:

  • Positive — happy path, expected successful outcomes
  • Negative — invalid inputs, unauthorized access, missing required fields
  • Edge — boundary values, empty states, concurrent operations, large payloads
  • Security — injection, unauthorized access escalation, token/session misuse
  • Performance — response time under expected load (only when targets are specified)

Each test case must include:

  • id — unique, scoped to suite (e.g. tc-auth-001)
  • name — plain-language description of what is being tested
  • typepositive | negative | edge | security | performance
  • priorityhigh | medium | low

- high: covers a success criterion or a named persona's primary use case - medium: covers a secondary flow or validation rule - low: covers an edge/corner case unlikely to affect typical users

  • preconditions — system state required before executing the test
  • steps — numbered, concrete actions
  • expected_result — specific, verifiable outcome
  • requirement_refs — IDs of the business/technical requirements this case validates
  • tags — optional labels for filtering (e.g. [smoke, regression, auth])

Step 4: Compute Coverage

Calculate coverage metrics:

  • Functional coverage — percentage of named functional requirements with at least one high-priority test case
  • Persona coverage — percentage of user personas whose primary use case has a positive test case
  • Non-functional coverage — boolean per NFR category (performance, security, etc.) — at least one test case exists

Flag any functional requirement with no test case as a coverage gap.

Step 5: Generate qa-test-plan.yaml

Write {base_directory}/delivery/qa-test-plan.yaml.

Create directory if it doesn't exist:

mkdir -p {base_directory}/delivery

Step 6: Gap Analysis

After generating the file, report inline:

## QA Test Plan Gap Analysis

**Project:** [name]
**Test Suites:** [n]
**Total Test Cases:** [n] ([n] high / [n] medium / [n] low)
**Functional Coverage:** [n]% ([n]/[n] requirements have high-priority cases)
**Persona Coverage:** [n]% ([n]/[n] personas covered)

**NFR Coverage:**
[✓ / ✗] Performance tests present
[✓ / ✗] Security tests present
[✓ / ✗] Integration tests present

**Gaps:**
- [requirement or persona with no coverage, if any]

**Recommendations:** [none / list]

Output Format

qa-test-plan.yaml Schema

The output document includes: version, project, generated, sources (reference file paths), summary (test counts by priority, coverage metrics), and test_suites (each with id (ts-slug), name, description, requirement_refs, and test_cases). Each test case has: id (tc-suite-nnn), name, type (positive/negative/edge/security/performance), priority (high/medium/low), preconditions, steps, expected_result, requirement_refs, and optional tags.

See references/output-spec.md for the complete document specification with all fields, coverage calculation rules, and test case structure.

See references/example.yaml for a full example.

Example Output

See references/example.yaml for a complete sample QA test plan.

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

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能力 2

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能力 3

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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

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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。

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