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Agent Skill · 研究检索

test-anti-patterns(测试反模式)

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。

test-anti-patterns 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,权限为需要联网;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 20,027。

总安装 5,361周安装 219GitHub Stars 1,517下载 1,734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
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:test-anti-patterns(测试反模式)
来源仓库:https://github.com/dotnet/skills
仓库路径:skills/test-anti-patterns
安装命令:
npx skills add https://github.com/dotnet/skills --skill test-anti-patterns
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/dotnet/skills --skill test-anti-patterns

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。

test-anti-patterns 用于辅助测试设计、自动化测试和用例整理。适合编写单元测试、端到端测试或根据失败日志定位问题。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。使用时需确认测试框架、运行命令,并区分模拟环境与生产环境。

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/test-anti-patterns

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/dotnet/skills --skill test-anti-patterns;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

    它需要需要联网,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

test-anti-patterns 怎么安装?

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

test-anti-patterns 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。

test-anti-patterns 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

test-anti-patterns 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。

test-anti-patterns 用的人多吗?

公开数据是累计安装 5,361 次,近一周安装 219 次,下载 1,734 次,GitHub 1,517 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。

test-anti-patterns 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。
  • 来源仓库有 1,517 星,维护活跃度相对可查。

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
test-anti-patterns

测试反模式 · 本页

5,3611,517需要联网未明确通过

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

Test Anti-Pattern Detection

Quick, pragmatic analysis of.NET test code for anti-patterns and quality issues that undermine test reliability, maintainability, and diagnostic value.

When to Use

  • User asks to review test quality or find test smells
  • User wants to know why tests are flaky or unreliable
  • User asks "are my tests good?" or "what's wrong with my tests?"
  • User requests a test audit or test code review
  • User wants to improve existing test code

When Not to Use

  • User wants to write new tests from scratch (use writing-mstest-tests)
  • User wants direct implementation fixes in MSTest code rather than a diagnostic review (use writing-mstest-tests)
  • User asks to fix swapped Assert.AreEqual argument order (use writing-mstest-tests)
  • User asks to convert DynamicData from IEnumerable<object[]> to ValueTuple (use writing-mstest-tests)
  • User wants to run or execute tests (use run-tests)
  • User wants to migrate between test frameworks or versions (use migration skills)
  • User wants to measure code coverage (out of scope)
  • User wants a deep formal test smell audit with academic taxonomy and extended catalog (use exp-test-smell-detection)

Inputs

InputRequiredDescription
Test codeYesOne or more test files or classes to analyze
Production codeNoThe code under test, for context on what tests should verify
Specific concernNoA focused area like "flakiness" or "naming" to narrow the review

Workflow

Step 1: Gather the test code

Read the test files the user wants reviewed. If the user points to a directory or project, scan for all test files using the framework-specific markers in the dotnet-test-frameworks skill (e.g., [TestClass], [Fact], [Test]).

If production code is available, read it too -- this is critical for detecting tests that are coupled to implementation details rather than behavior.

Step 2: Scan for anti-patterns

Check each test file against the anti-pattern catalog below. Report findings grouped by severity.

Critical -- Tests that give false confidence
Anti-PatternWhat to Look For
No assertionsTest methods that execute code but never assert anything. A passing test without assertions proves nothing.
Swallowed exceptionstry {...} catch {} or catch (Exception) without rethrowing or asserting. Failures are silently hidden.
Assert in catch block onlytry {Act();} catch (Exception ex) {Assert.Fail(ex.Message);} -- use Assert.ThrowsException or equivalent instead. The test passes when no exception is thrown even if the result is wrong.
Always-true assertionsAssert.IsTrue(true), Assert.AreEqual(x, x), or conditions that can never fail.
Commented-out assertionsAssertions that were disabled but the test still runs, giving the illusion of coverage.
High -- Tests likely to cause pain
Anti-PatternWhat to Look For
Flakiness indicatorsThread.Sleep(...), Task.Delay(...) for synchronization, DateTime.Now/DateTime.UtcNow without abstraction, Random without a seed, environment-dependent paths.
Test ordering dependencyStatic mutable fields modified across tests, [TestInitialize] that doesn't fully reset state, tests that fail when run individually but pass in suite (or vice versa).
Over-mockingMore mock setup lines than actual test logic. Verifying exact call sequences on mocks rather than outcomes. Mocking types the test owns. For a deep mock audit, use exp-mock-usage-analysis.
Implementation couplingTesting private methods via reflection, asserting on internal state, verifying exact method call counts on collaborators instead of observable behavior.
Broad exception assertionsAssert.ThrowsException<Exception>(...) instead of the specific exception type. Also: [ExpectedException(typeof(Exception))].
Medium -- Maintainability and clarity issues
Anti-PatternWhat to Look For
Poor namingTest names like Test1, TestMethod, names that don't describe the scenario or expected outcome. Good: Add_NegativeNumber_ThrowsArgumentException.
Magic valuesUnexplained numbers or strings in arrange/assert: Assert.AreEqual(42, result) -- what does 42 mean?
Duplicate testsThree or more test methods with near-identical bodies that differ only in a single input value. Should be data-driven ([DataRow], [Theory], [TestCase]). For a detailed duplication analysis, use exp-test-maintainability. Note: Two tests covering distinct boundary conditions (e.g., zero vs. negative) are NOT duplicates -- separate tests for different edge cases provide clearer failure diagnostics and are a valid practice.
Giant testsTest methods exceeding ~30 lines or testing multiple behaviors at once. Hard to diagnose when they fail.
Assertion messages that repeat the assertionAssert.AreEqual(expected, actual, "Expected and actual are not equal") adds no information. Messages should describe the business meaning.
Missing AAA separationArrange, Act, Assert phases are interleaved or indistinguishable.
Low -- Style and hygiene
Anti-PatternWhat to Look For
Unused test infrastructure[TestInitialize]/[SetUp] that does nothing, test helper methods that are never called.
IDisposable not disposedTest creates HttpClient, Stream, or other disposable objects without using or cleanup.
Console.WriteLine debuggingLeftover Console.WriteLine or Debug.WriteLine statements used during test development.
Inconsistent naming conventionMix of naming styles in the same test class (e.g., some use Method_Scenario_Expected, others use ShouldDoSomething).

Step 3: Calibrate severity honestly

Before reporting, re-check each finding against these severity rules:

  • Critical/High: Only for issues that cause tests to give false confidence or be unreliable. A test that always passes regardless of correctness is Critical. Flaky shared state is High.
  • Medium: Only for issues that actively harm maintainability -- 5+ nearly-identical tests, truly meaningless names like Test1.
  • Low: Cosmetic naming mismatches, minor style preferences, assertion messages that could be better. When in doubt, rate Low.
  • Not an issue: Separate tests for distinct boundary conditions (zero vs. negative vs. null). Explicit per-test setup instead of [TestInitialize] (this *improves* isolation). Tests that are short and clear but could theoretically be consolidated.

IMPORTANT: If the tests are well-written, say so clearly up front. Do not inflate severity to justify the review. A review that finds zero Critical/High issues and only minor Low suggestions is a valid and valuable outcome. Lead with what the tests do well.

Step 4: Report findings

Present findings in this structure:

  1. Summary -- Total issues found, broken down by severity (Critical / High / Medium / Low). If tests are well-written, lead with that assessment.
  2. Critical and High findings -- List each with:

- The anti-pattern name - The specific location (file, method name, line) - A brief explanation of why it's a problem - A concrete fix (show before/after code when helpful)

  1. Medium and Low findings -- Summarize in a table unless the user wants full detail
  2. Positive observations -- Call out things the tests do well (sealed class, specific exception types, data-driven tests, clear AAA structure, proper use of fakes, good naming). Don't only report negatives.

Step 5: Prioritize recommendations

If there are many findings, recommend which to fix first:

  1. Critical -- Fix immediately, these tests may be giving false confidence
  2. High -- Fix soon, these cause flakiness or maintenance burden
  3. Medium/Low -- Fix opportunistically during related edits

Validation

  • Every finding includes a specific location (not just a general warning)
  • Every Critical/High finding includes a concrete fix
  • Report covers all categories (assertions, isolation, naming, structure)
  • Positive observations are included alongside problems
  • Recommendations are prioritized by severity

Common Pitfalls

PitfallSolution
Reporting style issues as criticalNaming and formatting are Medium/Low, never Critical
Suggesting rewrites instead of targeted fixesShow minimal diffs -- change the assertion, not the whole test
Flagging intentional design choicesIf Thread.Sleep is in an integration test testing actual timing, that's not an anti-pattern. Consider context.
Inventing false positives on clean codeIf tests follow best practices, say so. A review finding "0 Critical, 0 High, 1 Low" is perfectly valid. Don't inflate findings to justify the review.
Flagging separate boundary tests as duplicatesTwo tests for zero and negative inputs test different edge cases. Only flag as duplicates when 3+ tests have truly identical bodies differing by a single value.
Rating cosmetic issues as MediumNaming mismatches (e.g., method name says ArgumentException but asserts ArgumentOutOfRangeException) are Low, not Medium -- the test still works correctly.
Ignoring the test frameworkxUnit uses [Fact]/[Theory], NUnit uses [Test]/[TestCase], MSTest uses [TestMethod]/[DataRow] -- use correct terminology
Missing the forest for the treesIf 80% of tests have no assertions, lead with that systemic issue rather than listing every instance

平台分布

Codex

34.37%
按下载量换算596

Claude

33.34%
按下载量换算578

Cursor

18.09%
按下载量换算314

Gemini CLI

9.89%
按下载量换算171

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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