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Agent Skill · 研究检索

analyze-selective-testing(分析选择性测试)

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。

analyze-selective-testing 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 35,045。

总安装 2,147周安装 86GitHub Stars 33下载 695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:analyze-selective-testing(分析选择性测试)
来源仓库:https://github.com/tuist/agent-skills
仓库路径:skills/analyze-selective-testing
安装命令:
npx skills add https://github.com/tuist/agent-skills --skill analyze-selective-testing
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 analyze-selective-testing

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。

analyze-selective-testing 基于 Tuist 测试系统分析选择性测试执行情况,识别回归与效率下降原因。适合 CI/CD 流程中定位失败目标与优化测试范围,支持按分支过滤和历史运行对比。

通过 tuist test list/show 命令获取 JSON 数据,输出 per-target 状态与建议调整项。依赖 Tuist CLI 工具链,需提前配置 Xcode 项目与测试目标,避免在非 Tuist 项目中误用。

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/analyze-selective-testing

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/tuist/agent-skills --skill analyze-selective-t…;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

analyze-selective-testing 怎么安装?

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

analyze-selective-testing 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。

analyze-selective-testing 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。

analyze-selective-testing 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。

analyze-selective-testing 用的人多吗?

公开数据是累计安装 2,147 次,近一周安装 86 次,下载 695 次,GitHub 33 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。

analyze-selective-testing 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
analyze-selective-testing

分析选择性测试 · 本页

2,14733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

Analyze Selective Testing

Quick Start

  1. Run tuist test list --json to find test runs.
  2. Run tuist test xcode target list <test-run-id> --json to see per-target selective testing status.
  3. If effectiveness dropped, compare targets between a known-good run and the regressed run.

Step 1: Resolve Test Runs

Find the test run to analyze

List recent test runs, optionally filtering by branch:

tuist test list --json --page-size 10
tuist test list --git-branch feature-x --json --page-size 5

Get basic info for a specific test run:

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

Use this to confirm the run's branch, status, scheme, and environment (xcode_version, macos_version).

Defaults

  • If no test run is specified, use the most recent CI test run on the current branch.
  • For comparison, use the most recent CI test run on the project's default branch.

Step 2: Drill Into Selective Testing Targets

List per-target selective testing data for a test run:

tuist test xcode target list <test-run-id> --json

Each target includes:

  • name: The test target name
  • hit_status: miss (ran), local (skipped via local cache), or remote (skipped via remote cache)
  • hash: The selective testing hash for this target

Filter by status to focus your analysis:

tuist test xcode target list <test-run-id> --hit-status miss --json
tuist test xcode target list <test-run-id> --hit-status local --json
tuist test xcode target list <test-run-id> --hit-status remote --json

Assess effectiveness

Count the targets by status:

effectiveness = (local_hits + remote_hits) / total_targets * 100
EffectivenessVerdict
60-100%Healthy — most unchanged tests are being skipped
30-60%Moderate — some cache invalidation occurring, worth investigating
0-30%Low — likely a core dependency changed or the cache was invalidated
0%Cold cache — first run, environment change, or full invalidation

Step 3: Diagnose Regressions

If effectiveness dropped, investigate:

Check for global invalidation

If nearly all targets show as miss, the entire selective testing cache was invalidated. Common causes:

CauseHow to verify
Xcode version changeCompare xcode_version between good and bad runs via tuist test show
CI environment changeCompare macos_version, model_identifier between runs
Project graph or dependency changeCheck git history for changes to project manifests, dependency versions, or target configurations
Core dependency changeA widely-depended-on target changed, invalidating all its dependents

Note: Tuist CLI version upgrades rarely cause hash invalidation — the hash version is not updated on every release.

Check for cascade invalidation

If only some targets show as miss, a dependency change likely cascaded:

  1. Run tuist test xcode target list <good-run-id> --json and tuist test xcode target list <bad-run-id> --json.
  2. Match targets by name — identify those that changed from local/remote to miss.
  3. Compare hashes for changed targets — if a target's hash differs, its sources or dependencies changed.
  4. Look for a common dependency among the invalidated targets.

Compare two test runs

For each target:

  • Match by name
  • Compare hit_status (hit -> miss = invalidated, miss -> hit = improved)
  • Compare hash (different hash = target or its dependencies changed)

Step 4: Recommendations

Based on the diagnosis:

  • Environment change: Ensure CI uses consistent Xcode/macOS versions. This is the most common cause of full cache invalidation.
  • Cascade from dependency change: Consider if the change to the root target was necessary. If the root target is a widely-shared module, consider splitting it.
  • Cold cache on new branch: Run tests once to warm the cache. Subsequent runs will benefit from selective testing.

Summary Format

Produce a summary with:

  1. Overall: effectiveness percentage, verdict (healthy/moderate/low/cold)
  2. Target breakdown: targets grouped by hit status
  3. Comparison (if applicable): targets that changed status between runs, with hash diffs
  4. Root cause: what caused the regression
  5. Recommendations: actionable next steps

Example:

Selective Testing Analysis: test run abc123 on feature-x

Effectiveness: 15% (3/20 targets skipped) -- LOW
  Local hits:  2 targets (CoreTests, UtilTests)
  Remote hits: 1 target (NetworkTests)
  Misses:      17 targets

Comparison with baseline (run def456, 75% effectiveness):
  14 targets changed from hit to miss
  All changed targets have different hashes

Root cause: Xcode version changed from 15.2 to 16.0 between runs.
This changed all target hashes, invalidating the entire cache.

Recommendations:
- Align CI Xcode version with the version used in the baseline run.
- If the upgrade is intentional, run tests once to re-warm the cache.

Done Checklist

  • Identified the test run(s) to analyze
  • Drilled into per-target selective testing status via tuist test xcode target list
  • Diagnosed root cause if effectiveness is low
  • Compared targets with baseline if regression detected
  • Provided actionable recommendations

平台分布

Codex

36.74%
按下载量换算255

Claude

29.88%
按下载量换算208

Cursor

20.11%
按下载量换算140

Gemini CLI

9.02%
按下载量换算63

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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