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compare-test-runs比较测试运行

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

2,007

周安装

82

GitHub Stars

33

下载量

649
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

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

简介

compare-test-runs 用于对比两次完整测试运行的覆盖度与稳定性表现。

  • 支持模块、套件、单测用例的多层级拆解与失败归因。
  • 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 Runs

Quick Start

You'll typically receive two test run identifiers. Follow these steps:

  1. Run tuist test show <id> --json for both base and head test runs.
  2. Run tuist test module list <test-run-id> --json and tuist test suite list <test-run-id> --json to get module and suite breakdowns.
  3. Run tuist test case run list <identifier> --json to get individual test case results.
  4. Compare failures, flaky tests, durations, and overall status.
  5. Inspect failing test cases with tuist test case run show <id> --json.
  6. Summarize findings with actionable recommendations.

Step 1: Resolve Test Runs

If base/head are test run IDs or dashboard URLs

Fetch each directly:

tuist test show <base-id> --json
tuist test show <head-id> --json

If base/head are branch names

List recent test runs on each branch to identify test run IDs:

tuist test list --git-branch <base-branch> --json --page-size 5
tuist test list --git-branch <head-branch> --json --page-size 5

Pick the latest test run ID from each branch's results.

Defaults

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

Step 2: Compare Top-Level Metrics

After fetching both test runs, compare:

MetricWhat to check
statusFlag if base passed but head failed
durationFlag if head is >10% slower
total_test_countNote if test count changed (new or removed tests)
failed_test_countCompare failure counts
flaky_test_countCompare flaky counts
avg_test_durationFlag significant changes

Step 3: Get Module and Suite Breakdowns

Fetch module and suite-level results for both test runs to understand which areas regressed:

tuist test module list <base-test-run-id> --json
tuist test module list <head-test-run-id> --json

tuist test suite list <base-test-run-id> --json
tuist test suite list <head-test-run-id> --json

Match modules and suites by name across both runs to identify areas with new failures or duration regressions.

Step 4: Get Individual Test Case Results

Fetch test case runs for both test runs:

tuist test case run list <identifier> --json --page-size 100

Match test cases by their name + module_name + suite_name across both runs.

Step 5: Classify Changes

Group test cases into categories:

  1. New failures: Tests that passed in base but failed in head.
  2. Fixed tests: Tests that failed in base but passed in head.
  3. Newly flaky: Tests not flaky in base but flaky in head.
  4. No longer flaky: Tests that were flaky in base but stable in head.
  5. New tests: Tests present in head but not in base.
  6. Removed tests: Tests present in base but not in head.
  7. Duration regressions: Tests with >50% duration increase.

Step 6: Inspect Failures

For each new failure, get detailed information:

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

Key fields to 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 -- if present, shows retry behavior (flaky detection)
  • crash_report -- crash data if test runner crashed

Step 7: Inspect Attachments

The tuist test case run show output includes attachment and crash report information. Review:

  • Screenshots or UI test artifacts
  • Log files or crash reports
  • Any diagnostic data attached to failing runs

Summary Format

Produce a summary with:

  1. Overall verdict: Better, worse, or neutral compared to base.
  2. New failures: List each with failure message, file path, and line number.
  3. New flaky tests: List with flakiness context.
  4. Fixed tests: List tests that are now passing.
  5. Duration: Overall and notable per-test regressions.
  6. Recommendations: Actionable next steps for each issue.

Example:

Test Run Comparison: base (run-123 on main) vs head (run-456 on feature-x)

Status: success -> failure -- REGRESSION
Duration: 120.5s -> 145.2s (+21%)
Tests: 342 -> 345 (3 new tests)
Failures: 0 -> 2 (2 new failures)
Flaky: 1 -> 3 (2 newly flaky)

New Failures:
1. AuthModuleTests/LoginTests/test_login_with_expired_token
   Message: "Expected status 401, got 500"
   File: Tests/AuthModuleTests/LoginTests.swift:42
   Likely cause: Server error handling changed for expired tokens

2. NetworkTests/RetryTests/test_retry_on_timeout
   Message: "Timed out waiting for retry"
   File: Tests/NetworkTests/RetryTests.swift:87
   Likely cause: Timeout threshold too low after network layer refactor

Newly Flaky:
1. CacheTests/WriteCacheTests/test_concurrent_writes (flaky in 3/5 runs)

Recommendations:
- Fix expired token handling in AuthModule
- Increase timeout in RetryTests or mock the network layer
- Investigate concurrent write synchronization in CacheTests

Done Checklist

  • Resolved both base and head test runs
  • Compared top-level metrics
  • Fetched module and suite breakdowns for both runs
  • Identified new failures, fixed tests, and flaky changes
  • Inspected failure details for new failures
  • Provided actionable recommendations with file paths

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

38.14%
按下载量换算248

Claude

31.7%
按下载量换算206

Cursor

19.07%
按下载量换算124

Gemini CLI

8.68%
按下载量换算56

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。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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