Token导航 LogoToken导航TokenDH.com
研究检索操作浏览器github未标认证来源可访问clear审计通过

exploratory-testing-advanced探索性测试高级

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

2,095

周安装

90

GitHub Stars

329

下载量

734
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:exploratory-testing-advanced(探索性测试高级)
来源仓库:https://github.com/proffesor-for-testing/agentic-qe
仓库路径:skills/exploratory-testing-advanced
安装命令:
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill exploratory-testing-advanced
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 exploratory-testing-advanced

简介

exploratory-testing-advanced 采用 SFDIPOT 启发式开展系统化探索测试。

  • 支持时间盒管理、证据记录与实时复盘,强化测试有效性。
  • 适用于高风险模块或复杂交互路径的深度质量探查。
  • 浏览器操作需区分模拟环境与真实服务,防止污染生产数据。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Advanced Exploratory Testing

<default_to_action> When exploring software or investigating quality risks:

  1. CREATE charter with mission, scope, and time-box (45-90 min)
  2. APPLY heuristics: SFDIPOT (quality criteria), FEW HICCUPPS (consistency oracles)
  3. EXPLORE systematically using test tours (Business District, Bad Neighborhood, Historical)
  4. DOCUMENT findings in real-time with notes, screenshots, evidence
  5. DEBRIEF: What learned? What's next? Share via agent memory

Quick Heuristic Selection:

  • What to test → SFDIPOT (Structure, Function, Data, Interfaces, Platform, Operations, Time)
  • Recognize problems → FEW HICCUPPS (Familiar, Explainable, World, History, Image, Comparable, Claims, Users, Product, Purpose, Standards)
  • Navigate app → Test Tours (12 types for different exploration strategies)

Critical Success Factors:

  • Exploration is skilled, structured thinking - not random clicking
  • Document discoveries, not pre-planned test cases
  • Pair testing reveals more than solo exploration </default_to_action>

Quick Reference Card

When to Use

  • Investigating new or changed features
  • Finding bugs automation misses
  • Learning unfamiliar systems
  • Risk discovery before test planning

Session Structure (SBTM)

PhaseDurationActivity
Charter5 minDefine mission, scope, focus
Explore45-75 minSystematic investigation
NoteContinuousDocument findings real-time
Debrief10-15 minSummarize, prioritize, share

SFDIPOT Heuristic (What to Test)

LetterFocusExample Questions
StructureIs it properly composed?Code structure, UI layout, data schema
FunctionDoes it do what it should?Core features work correctly
DataHandles data correctly?CRUD, validation, persistence
InterfacesInteracts well?APIs, UI, integrations
PlatformWorks in environment?Browsers, OS, devices
OperationsCan be used/managed?Install, config, monitor
TimeHandles timing?Concurrency, timeouts, scheduling

FEW HICCUPPS Oracle (Recognize Problems)

Consistency WithCheck
Familiar problemsDoes this look like a known bug pattern?
ExplainableCan behavior be explained rationally?
WorldMatches real-world expectations?
HistoryConsistent with prior versions?
ImageMatches brand/product image?
ComparableSimilar to competing products?
ClaimsMatches specs/docs/marketing?
UsersMeets user expectations?
PurposeFulfills intended purpose?
StatementsMatches what devs said?

Test Tours (12 Types)

TourStrategy
Business DistrictCritical business flows
HistoricalWhere bugs clustered before
Bad NeighborhoodKnown problem areas
MoneyRevenue-impacting features
LandmarkNavigate by key features
IntellectualComplex, thinking-intensive features
FedExFollow data through system
Garbage CollectorCleanup and edge cases
MuseumHelp docs and examples
Rained-OutWhat happens when things fail?
Couch PotatoMinimal effort paths
Obsessive-CompulsiveRepetitive actions

Session Note Template

**Charter:** Explore [area] to discover [what] focusing on [heuristic]
**Time-box:** 60 min | **Tester:** [name] | **Date:** [date]

## Session Notes
- [timestamp] Observation/finding
- [timestamp] Bug: [description] - [severity]
- [timestamp] Question: [unclear behavior]

## Findings Summary
- Bugs: X (Critical: Y, Major: Z)
- Questions: X
- Ideas: X

## Coverage
- Areas explored: [list]
- Heuristics used: [SFDIPOT areas]
- % Time on: Bug investigation 30%, Exploration 50%, Setup 20%

## Next Steps
- [ ] Deep dive on [area]
- [ ] Follow up on question about [topic]

Agent-Assisted Exploration

// Collaborative exploration session
await Task("Exploratory Session", {
  charter: 'Explore checkout flow for payment edge cases',
  duration: '60min',
  heuristics: ['SFDIPOT', 'FEW_HICCUPPS'],
  tour: 'money',
  collaboration: 'human-navigator-agent-driver'
}, "qe-flaky-test-hunter");

// Agent generates test variations while human observes
await Task("Edge Case Generation", {
  area: 'payment-form',
  variations: ['boundary-values', 'invalid-inputs', 'concurrent-submits']
}, "qe-test-generator");

// Visual exploration
await Task("Visual Exploration", {
  tour: 'landmark',
  focus: 'responsive-breakpoints',
  compare: 'baseline-screenshots'
}, "qe-visual-tester");

Agent Coordination Hints

Memory Namespace

aqe/exploratory/
├── sessions/*           - Session notes and findings
├── charters/*           - Reusable charter templates
├── bug-clusters/*       - Historical bug patterns
└── heuristic-results/*  - What heuristics revealed

Fleet Coordination

const exploratoryFleet = await FleetManager.coordinate({
  strategy: 'exploratory-testing',
  agents: [
    'qe-flaky-test-hunter',   // Pattern recognition
    'qe-visual-tester',       // Visual anomalies
    'qe-quality-analyzer'     // Risk assessment
  ],
  topology: 'mesh'
});

Pairing Patterns

PatternHuman RoleAgent Role
Driver-NavigatorNavigate strategyExecute variations
Strong-StyleDictate actionsRecord findings
Ping-PongObserve one areaExplore another

Related Skills


Remember

Exploratory testing = simultaneous learning, test design, and test execution.

Not random clicking. Structured, skilled investigation guided by heuristics and oracles. Document discoveries in real-time. Pair testing amplifies findings.

With Agents: Agents generate variations, recognize patterns, and maintain session notes while humans apply judgment and intuition. Combine agent thoroughness with human insight.

Gotchas

  • Agent treats exploratory testing as scripted test execution — remind it: exploration means learning + adapting in real-time
  • Session notes from agents lack the "why I tried this" reasoning — explicitly ask for decision rationale
  • 90-minute sessions cause context overflow — cap at 45 minutes with explicit debrief
  • Agent defaults to happy-path exploration — explicitly assign "Bad Neighborhood" or "Saboteur" tours for negative testing
  • SFDIPOT heuristics are misapplied when agent doesn't understand the domain — provide domain context upfront

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

31.16%
按下载量换算229

Antigravity

23.36%
按下载量换算171

windsurf

17.09%
按下载量换算125

github-copilot

12.81%
按下载量换算94

Codex

7.84%
按下载量换算58

trae

3.48%
按下载量换算26

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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

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。

来源信息

继续浏览同类 Skills