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Agent Skill · 研究检索

helpmetest-debugger(帮助测试调试器)

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。

helpmetest-debugger 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,权限为调用外部服务;许可证信息还不明确,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 49,494。

总安装 649周安装 26GitHub Stars 公开资料未说明下载 210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
unknown

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:helpmetest-debugger(帮助测试调试器)
来源仓库:https://github.com/help-me-test/skills
仓库路径:skills/helpmetest-debugger
安装命令:
npx skills add https://github.com/help-me-test/skills --skill helpmetest-debugger
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/help-me-test/skills --skill helpmetest-debugger

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。

helpmetest-debugger 用于辅助测试设计、自动化测试用例整理和回归验证。适用于需要编写单元测试、端到端测试或根据失败日志快速定位问题的场景。使用时需确认项目测试框架、运行命令和夹具数据,避免为通过测试而破坏真实逻辑。涉及浏览器或外部服务时,应明确区分本地模拟、测试环境和生产环境。

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/helpmetest-debugger

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/help-me-test/skills --skill helpmetest-debugge…;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

    它需要调用外部服务,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

helpmetest-debugger 怎么安装?

在终端执行 npx skills add https://github.com/help-me-test/skills --skill helpmetest-debugger。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

helpmetest-debugger 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。

helpmetest-debugger 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

helpmetest-debugger 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

helpmetest-debugger 用的人多吗?

公开数据是累计安装 649 次,近一周安装 26 次,下载 210 次。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。

helpmetest-debugger 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。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
helpmetest-debugger

帮助测试调试器 · 本页

649—调用外部服务未明确通过

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

Who you are: If .helpmetest/SOUL.md exists in this project, read it before starting — it defines your character and shapes how you work.
No MCP? The CLI has full feature parity — use helpmetest <command> instead of MCP tools. See the CLI reference.

QA Debugger

Debugs failing tests to determine root cause and fix.

Golden Rule: ALWAYS reproduce interactively before fixing. Never guess. Never make blind fixes.

Prerequisites

Before debugging, load the project context and debugging guides:

how_to({ type: "context_discovery" })
how_to({ type: "interactive_debugging" })
how_to({ type: "debugging_self_healing" })

context_discovery tells you which Feature artifact the failing test belongs to, what scenarios are covered, and whether the bug is already known. This prevents documenting a bug that's already in feature.bugs[].

Input

  • Failing test ID
  • Error message/logs
  • Feature artifact the test belongs to

Before asking the user for any of these, scan the conversation — they're almost always already there.

Context Reading (do this before Phase 1)

Scan the conversation history for:

  • Test ID: any mention of a test name, test ID, or a test runner output block → use it directly, don't ask
  • Error message: any stack trace, "Element not found", timeout message, or assertion failure → pre-classify the failure type before loading test details
  • Feature domain: any mention of the feature being tested (e.g., "the login test broke") → pre-load the matching Feature artifact

Then check what code recently changed:

git diff --stat HEAD
git log --oneline -5

Map changed files to likely failure causes:

  • Selector-heavy files (components/, pages/, template files) → likely selector changes
  • Auth/session files → likely auth state or session issues
  • API route files → likely backend errors or changed response shapes
  • Config or env files → likely timing or environment issues

Use this to pre-classify the failure pattern before any interactive investigation. If you already know "auth files changed + test fails on login step", you can skip several investigation dead ends and go straight to checking whether the auth selector or flow changed.

If no context signals exist, proceed with Phase 1 and ask the user for the test ID and error.

Workflow

Phase 1: Understand the Failure

  1. Get test details using helpmetest_open_test
  2. Get test history using helpmetest_status({id: "test-id", testRunLimit: 10})
  3. Classify failure pattern (see the self-healing guide loaded above):

- Selector issue? Timing issue? State issue? API issue? Data issue? Test isolation? - Refer to pattern categories to identify symptoms and determine root cause

  1. Get Feature using helpmetest_get_artifact
  2. Identify failure point:

- Which step failed? - What was the error? - What was expected vs actual?

Phase 2: Reproduce Interactively

Don't skip this step. Use helpmetest_run_interactive_command to execute the test manually, step by step. This shows you exactly what's happening when the test fails - you can see the actual page state, missing elements, and error conditions that logs don't capture.

  1. Get Persona for auth_state if needed
  2. Start interactive session - Execute steps ONE AT A TIME, observing after EACH step: As <auth_state> Go To <url> → Observe: Did page load? Check URL. Look at page content.
  3. Execute steps leading up to failure - Run each step separately: Fill Text <selector> <value> → Observe: Did field get filled? Check with Get Attribute <selector> value Click <button-selector> → Observe: What happened after click? Did page change? Check Get Url
  4. When you reach the failing step, investigate based on error type: Element not found: Element not interactable: Wrong value/assertion failed: Timeout/page load failure:

- List all elements of that type on the page (buttons, inputs, etc.) - Try alternate selectors (text matching, class, attributes) - Determine: Is element missing (bug) OR selector wrong (test issue)? - Check if element is visible and enabled - Check if need to scroll to element - Check if multiple matches exist - Check if need to wait for element to become interactable - Determine: What's blocking interaction? - Check what's actually displayed - Check what page you're on - Check for error messages on page - Determine: Is behavior a bug OR did expectations change? - Try with longer timeout - Check where you ended up (Get Url) - Check for API responses - Wait for key elements that indicate page loaded - Determine: Is app slow (increase timeout) OR broken (bug)?

  1. Document findings after investigation:

- Exact step that failed - What you expected - What actually happened - Root cause (selector wrong, timing issue, feature broken, etc.)

Phase 3: Determine Root Cause

Refer to the self-healing guide (loaded above via how_to) for all failure pattern categories and fixes.

Quick reference:

  • Test isolation: Alternating PASS/FAIL + changing error values + shared state → Make idempotent
  • Selector issues: Element not found → Fix selector or document bug
  • Timing issues: Timeouts, element not visible → Add waits
  • State issues: Auth/session problems → Verify state restoration
  • API issues: Backend errors → Document as bug
  • Data issues: Conflicts, duplicates → Use unique data or cleanup

Phase 4A: Fix Test Issue

If problem is with the test (NOT a bug in the application):

  1. Identify fix based on interactive investigation:

- Update selector (found correct selector during investigation) - Add wait/timeout (saw element appears after delay) - Fix expected value (saw actual correct value during investigation) - Add missing setup step (discovered required state during investigation)

  1. Validate fix interactively before updating test: Run the COMPLETE corrected flow interactively to prove it works. Don't update the test until you've confirmed the entire flow succeeds interactively - otherwise you're applying an unverified fix. # Run the FULL test with fixes applied As <auth_state> Go To <url> # Step 1 with fix Fill Text <corrected-selector> <value> Get Attribute <corrected-selector> value == <value> # Verify it worked # Step 2 with fix Wait For Elements State <button> enabled timeout=5000 # Added wait Click <button> # Step 3 with fix Wait For Response url=/api/submit status=200 # Verify API call Get Text.success == Saved successfully # Updated expected text # Verify outcome Go To <url> # Reload to verify persistence Get Attribute <selector> value == <value> # Confirm data saved → If ANY step fails during interactive validation, STOP and investigate more → Only proceed when ENTIRE flow runs successfully interactively
  2. Update test using helpmetest_upsert_test with validated fixes
  3. Run test using helpmetest_run_test to confirm automated version works
  4. If test STILL fails:

- Return to Phase 2 (reproduce interactively) - Compare automated test output with interactive output - Find the difference - Repeat until test passes

Phase 4B: Document Bug

If problem is with the feature:

  1. Add bug to Feature.bugs: {"name": "Brief description", "given": "Precondition", "when": "Action taken", "then": "Expected outcome", "actual": "What actually happens", "severity": "blocker|critical|major|minor", "url": "http://example.com/page", "tags": ["affects:all-users"], "test_ids": []}
  2. Update Feature.status to "broken" or "partial"
  3. Skip or tag test until bug is fixed

Phase 5: Update Feature Status

After debugging:

  1. Update Feature.status:

- "working": All scenarios pass - "broken": Critical scenarios fail due to bugs - "partial": Some scenarios pass, some fail

  1. Update ProjectOverview.features with works: true/false

Output

  • Root cause identified
  • Test fixed OR bug documented
  • Feature.status updated
  • Summary of actions taken

Self-Healing Patterns

Refer to the self-healing guide (loaded above via how_to) for all auto-fixable patterns and strategies.

Critical Rules

  1. Always reproduce first - Don't guess, verify
  2. Determine bug vs test issue - Different actions needed
  3. Update artifacts - All findings go into Feature
  4. Verify fixes - Run test after fixing

Version: 0.1

平台分布

Codex

37.74%
按下载量换算79

Claude

30.44%
按下载量换算64

Cursor

19.75%
按下载量换算41

Gemini CLI

8.89%
按下载量换算19

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。目前只有一个公开来源,建议同时核对源仓库。

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