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compare-test-case比较测试用例

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

1,983

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GitHub Stars

33

下载量

642
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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

2

许可证

unknown

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:compare-test-case(比较测试用例)
来源仓库:https://github.com/tuist/agent-skills
仓库路径:skills/compare-test-case
安装命令:
npx skills add https://github.com/tuist/agent-skills --skill compare-test-case
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/tuist/agent-skills --skill compare-test-case

简介

compare-test-case 用于追踪单个测试用例在不同分支上的行为变化。

  • 结合 Tuist 测试系统获取失败详情与历史趋势,支持根因分析。
  • 通过 GitHub 安装,使用 npx skills add 命令添加指定仓库中的技能。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 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

Compare Test Case

Quick Start

You'll typically receive a test case identifier and two branches. Follow these steps:

  1. Run tuist test case show <id-or-identifier> --json to get the test case metrics.
  2. Run tuist test case run list <identifier> --json to see runs across branches.
  3. Compare behavior between base and head branches.
  4. Inspect failures with tuist test case run show <run-id> --json.
  5. Summarize findings with root cause analysis.

Step 1: Resolve the Test Case

By ID or dashboard URL

tuist test case show <test-case-id> --json

By identifier (Module/Suite/TestCase)

tuist test case show Module/Suite/TestCase --json

If no test case is provided

Discover flaky or failing tests to investigate:

tuist test case list --flaky --json --page-size 10

Key fields from the response:

  • id -- unique identifier for subsequent commands
  • name, module_name, suite_name -- the test identity
  • reliability_rate -- percentage of successful runs
  • flakiness_rate -- percentage of flaky runs in the last 30 days
  • total_runs / failed_runs -- volume context
  • is_flaky / is_quarantined -- current flags

Step 2: Get Runs on Each Branch

List test case runs filtered by the test case, and look at the git_branch field:

tuist test case run list <identifier> --json --page-size 20

Separate runs by branch. For each branch, compute:

  • Pass rate: passed_runs / total_runs * 100
  • Average duration
  • Flaky run count
  • Most recent status

Defaults

  • If no base branch is provided, use the project's default branch (usually main).
  • If no head branch is provided, detect the current git branch.

Step 3: Compare Branch Behavior

MetricBase branchHead branchVerdict
Pass ratee.g. 100%e.g. 60%REGRESSION
Avg duratione.g. 0.5se.g. 2.1sREGRESSION
Flaky runs03NEW FLAKINESS
Last statussuccessfailureREGRESSION

Classify the change:

  • Newly failing: 100% pass rate on base, <100% on head
  • Newly flaky: No flaky runs on base, flaky runs on head
  • Duration regression: >50% increase in average duration
  • Fixed: Failing on base, passing on head
  • Stable: Same behavior on both branches

Step 4: Inspect Failures

For each failing run on the head branch:

tuist test case run show <test-case-run-id> --json

Examine:

  • failures[].message -- the assertion or error message
  • failures[].path -- source file path
  • failures[].line_number -- exact line of failure
  • failures[].issue_type -- type of issue
  • repetitions -- shows retry behavior (e.g., pass-fail-pass means flaky)
  • crash_report -- crash data if the test runner crashed

Step 5: Identify Root Cause

Based on the comparison:

Newly failing

  • Check commits between base and head branches for changes to the test file or the code under test.
  • Look at the failure message for clues about what changed.

Newly flaky

  • Common patterns: timing/async issues, shared state, environment dependencies.
  • Check if repetitions show intermittent pass/fail patterns.
  • See the fix-flaky-tests skill for detailed flaky test analysis patterns.

Duration regression

  • Check if setup/teardown time increased.
  • Check if the test is doing more work (new assertions, larger data sets).
  • Check if a dependency became slower.

Summary Format

Produce a summary with:

  1. Test case info: Name, module, suite, overall reliability.
  2. Base branch behavior: Pass rate, avg duration, flaky count.
  3. Head branch behavior: Pass rate, avg duration, flaky count.
  4. Verdict: What changed and classification.
  5. Root cause: Hypothesis based on failure analysis.
  6. Recommendations: Specific file paths, line numbers, and fix suggestions.

Example:

Test Case Comparison: AuthModuleTests/LoginTests/test_login_with_expired_token

Overall reliability: 85% (was 100% before head branch)

Base (main):
  Pass rate: 100% (15/15 runs)
  Avg duration: 0.3s
  Flaky: No

Head (feature/auth-refactor):
  Pass rate: 60% (3/5 runs)
  Avg duration: 0.5s
  Flaky: Yes (2 flaky runs)

Verdict: NEWLY FLAKY -- test was stable on main but intermittently fails on feature branch

Root cause: The auth refactor introduced an async token refresh that races with the
test's synchronous assertion. Failures show "Expected status 401, got nil" at
Tests/AuthModuleTests/LoginTests.swift:42, suggesting the response arrives before
the token refresh completes.

Recommendations:
- Add an await/expectation before the assertion at LoginTests.swift:42
- Consider mocking the token refresh to make the test deterministic

Done Checklist

  • Resolved the test case identity
  • Gathered runs on both branches
  • Compared pass rates, durations, and flakiness
  • Inspected failure details for failing runs
  • Identified root cause with file paths and line numbers
  • Provided actionable fix recommendations

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

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

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

Codex

34.71%
按下载量换算223

Claude

30.2%
按下载量换算194

Cursor

18.04%
按下载量换算116

Gemini CLI

8.08%
按下载量换算52

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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