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context-driven-testing上下文驱动测试

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

1,608

周安装

67

GitHub Stars

331

下载量

536
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

3

许可证

MIT

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:context-driven-testing(上下文驱动测试)
来源仓库:https://github.com/proffesor-for-testing/agentic-qe
仓库路径:skills/context-driven-testing
安装命令:
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill context-driven-testing
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill context-driven-testing

简介

辅助测试设计、自动化用例编写和回归验证流程。context-driven-testing 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 根据项目风险等级调整测试强度,平衡成本与质量。
  • 优先分析失败日志定位问题,而非机械执行预设用例。
  • 需确认项目测试框架和运行命令,避免误改真实逻辑。
  • 涉及浏览器或外部服务时应区分模拟环境与生产环境。

SKILL.md

Context-Driven Testing

<default_to_action> When making testing decisions or adapting approaches:

  1. ANALYZE context: project goals, constraints, risks, team skills
  2. QUESTION practices: "Why this? What risk does it address? What's the cost?"
  3. INVESTIGATE not just check: Does software solve the problem, or create new ones?
  4. ADAPT approach based on context, not "best practices"
  5. DOCUMENT discoveries, not pre-written plans

Quick Context Analysis:

  • Mission: "Find important problems fast enough to matter" (not "execute test cases")
  • Risk: Safety-critical = high rigor; internal tool = lighter touch
  • Constraints: Startup with tight timeline ≠ enterprise with compliance
  • Skills: Novice needs structure; expert adapts intuitively

Critical Success Factors:

  • No "best practices" work everywhere - only good practices in context
  • Testing is investigation, not script execution
  • Context changes; your approach should too </default_to_action>

Quick Reference Card

When to Use

  • Making testing decisions for new project
  • Questioning "that's how it's done" dogma
  • Adapting approach to specific constraints
  • Exploratory testing sessions

RST Heuristics

HeuristicApplication
SFDIPOTStructure, Function, Data, Interfaces, Platform, Operations, Time
OraclesConsistency with history, similar products, expectations, docs
ToursBusiness District, Historical, Bad Neighborhood, Tourist, Museum

Context-Driven Decisions

Example: Test Automation Level

Startup Context:

  • Small team, rapid changes, unclear product-market fit
  • Decision: Light automation on critical paths, heavy exploratory
  • Rationale: Requirements change too fast for extensive automation

Enterprise Context:

  • Stable features, regulatory requirements, large team
  • Decision: Comprehensive automated regression suite
  • Rationale: Stability allows automation investment to pay off

Example: Documentation

Regulated (FDA/medical):

  • Decision: Detailed test protocols, traceability matrices
  • Rationale: Regulatory compliance isn't optional

Fast-paced startup:

  • Decision: Lightweight session notes, risk logs
  • Rationale: Bureaucracy slows more than it helps

Agent-Assisted Context-Driven Testing

// Agent analyzes context and recommends approach
const context = await Task("Analyze Context", {
  project: 'e-commerce-platform',
  stage: 'startup',
  constraints: ['timeline: tight', 'budget: limited'],
  risks: ['payment-security', 'high-volume']
}, "qe-fleet-commander");

// Context-aware agent selection
// - qe-security-scanner (critical risk)
// - qe-performance-tester (high volume)
// - Skip: qe-visual-tester (low priority in startup context)

// Adaptive testing strategy
await Task("Generate Tests", {
  context: 'startup',
  focus: 'critical-paths-only',
  depth: 'smoke-tests',
  automation: 'minimal'
}, "qe-test-generator");

Agent Coordination Hints

Memory Namespace

aqe/context-driven/
├── context-analysis/*    - Project context snapshots
├── decisions/*           - Testing decisions with rationale
├── discoveries/*         - What was learned during testing
└── adaptations/*         - How approach changed over time

Fleet Coordination

const contextFleet = await FleetManager.coordinate({
  strategy: 'context-driven',
  context: {
    type: 'greenfield-saas',
    stage: 'growth',
    compliance: 'gdpr-only'
  },
  agents: ['qe-test-generator', 'qe-security-scanner', 'qe-performance-tester'],
  exclude: ['qe-visual-tester', 'qe-requirements-validator']  // Not priority
});

Practical Tips

  1. Start with risk assessment - List features, ask: How likely to fail? How bad? How hard to test?
  2. Time-box exploration - 2 hours checkout, 30 min error handling, 15 min per browser
  3. Document discoveries - Not "Enter invalid email, verify error" but "Payment API returns 500 instead of 400, no user-visible error. Bug filed."
  4. Talk to humans - Developers, users, support, product
  5. Pair with others - Different perspectives = different bugs

Related Skills


Remember

With Agents: Agents analyze context, adapt strategies, and learn what works in your situation. Use agents to scale context-driven thinking while maintaining human judgment for critical decisions.

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

Claude Code

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21.72%
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windsurf

17.87%
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github-copilot

13.23%
按下载量换算71

Codex

7.86%
按下载量换算42

trae

3.56%
按下载量换算19

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权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

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来源信息

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