Token导航 LogoToken导航

Agent Skill · 研究检索

exploratory-testing-advanced(探索性测试高级)

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。

exploratory-testing-advanced 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 35,370。

总安装 2,095周安装 90GitHub Stars 329下载 734核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/exploratory-testing-advanced

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill explo…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

exploratory-testing-advanced 怎么安装?

在终端执行 npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill exploratory-tes…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

exploratory-testing-advanced 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

exploratory-testing-advanced 需要什么权限?

权限级别是操作浏览器。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。

exploratory-testing-advanced 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

exploratory-testing-advanced 用的人多吗?

公开数据是累计安装 2,095 次,近一周安装 90 次,下载 734 次,GitHub 329 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

exploratory-testing-advanced 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
exploratory-testing-advanced

探索性测试高级 · 本页

2,095329操作浏览器MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

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。

继续浏览同类 Skills