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Agent Skill · 研究检索

compare-gradle-builds(比较 gradle 构建)

用于辅助 Java 项目开发、面向对象设计、Spring 生态、Maven 或 Gradle 依赖和后端工程实践。它适合让 Agent 分析类结构、设计接口、整理服务分层、生成测试或检查常见代码坏味道。使用时需要结合项目已有架构、包结构和依赖版本,不应只按通用教程改代码;涉及数据库、事务、并发或框架配置时,应先确认运行环境和回归测试范围。

compare-gradle-builds 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 37,602。

总安装 1,706周安装 69GitHub Stars 33下载 535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:compare-gradle-builds(比较 gradle 构建)
来源仓库:https://github.com/tuist/agent-skills
仓库路径:skills/compare-gradle-builds
安装命令:
npx skills add https://github.com/tuist/agent-skills --skill compare-gradle-builds
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-gradle-builds

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。

compare-gradle-builds 用于 Java/Gradle 项目的构建过程对比,发现性能波动。利用 Tuist MCP 工具链获取任务级执行详情与缓存状态。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。

来源仓库内路径:skills/compare-gradle-builds

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 compare-gradle-buil…;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

compare-gradle-builds 怎么安装?

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

compare-gradle-builds 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。

compare-gradle-builds 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。

compare-gradle-builds 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。

compare-gradle-builds 用的人多吗?

公开数据是累计安装 1,706 次,近一周安装 69 次,下载 535 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。

compare-gradle-builds 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
compare-gradle-builds

比较 gradle 构建 · 本页

1,70633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

Compare Gradle Builds

Quick Start

You'll typically receive two build identifiers (IDs, dashboard URLs, or branch names). Follow these steps using the Tuist MCP tools:

  1. Use list_gradle_builds to find builds on each branch.
  2. Use get_gradle_build for both base and head builds.
  3. Use list_gradle_build_tasks to fetch task-level details for both builds.
  4. Compare duration, status, cache hit rates, and task outcomes.
  5. Summarize regressions, improvements, and recommendations.

If only one identifier is provided, use the project's default branch as the baseline.

Step 1: Resolve Builds

If base/head are build IDs or dashboard URLs

Fetch each directly with get_gradle_build(build_run_id: "<id>").

If base/head are branch names

List recent builds on each branch and pick the latest:

list_gradle_builds(account_handle: "...", project_handle: "...", git_branch: "<branch>", page_size: 1)

Then fetch full details with get_gradle_build(build_run_id: "<id>").

Defaults

  • If no base is provided, use the project's default branch (usually main).
  • If no head is provided, detect the current git branch with git rev-parse --abbrev-ref HEAD.

Step 2: Compare Top-Level Metrics

After fetching both builds, compare:

MetricWhat to check
duration_msFlag if head is >10% slower than base
statusFlag if base succeeded but head failed
tasks_local_hit_countCompare local cache hit counts
tasks_remote_hit_countCompare remote cache hit counts
tasks_executed_countCompare how many tasks ran (higher means more cache misses)
cacheable_tasks_countNote if the cacheable task count changed
cache_hit_rate(local_hits + remote_hits) / cacheable_tasks_count * 100
requested_tasksEnsure both builds ran the same tasks for a fair comparison
gradle_version / java_versionNote environment differences that affect comparability

Compute the cache miss delta: base_executed - head_executed. Positive means head has fewer executions (improvement). Negative means regression.

Step 3: Drill Into Tasks

Use list_gradle_build_tasks for both builds. Compare duration_ms and outcome per task path.

Look for:

  • Tasks that changed from local_hit or remote_hit to executed (cache invalidation).
  • Tasks that changed from executed to local_hit or remote_hit (cache improvement).
  • Tasks that changed to failed (new failures).
  • New tasks that appeared in the head build.
  • Tasks with significant duration increases.

Sort by absolute time difference to find the biggest regressions.

Filtering tasks

Use the outcome filter to focus on specific task states:

  • list_gradle_build_tasks(build_run_id: "<id>", outcome: "executed") to see only executed tasks.
  • list_gradle_build_tasks(build_run_id: "<id>", outcome: "failed") to see failures.
  • list_gradle_build_tasks(build_run_id: "<id>", cacheable: true) to see only cacheable tasks.

Step 4: Investigate Duration Regressions

If the head build is significantly slower:

  1. Check if requested_tasks differ (different task sets are not directly comparable).
  2. Check if cache hit rate dropped, which would explain longer builds.
  3. Look for tasks that changed from cache hits to executed.
  4. Check if gradle_version or java_version changed, which can affect performance.
  5. Compare individual task durations to find the biggest contributors.

Step 5: Investigate Cache Changes

Compare task-level cache behavior:

  • Hit rate dropped: Possible causes include dependency changes, build configuration changes, or Gradle version updates that alter cache keys.
  • Hit rate improved: Likely due to better cache warming or fewer source changes.
  • Task count changed: New modules or tasks added/removed.
  • Outcome changes: Tasks moving between up_to_date, local_hit, remote_hit, and executed reveal cache effectiveness.

Step 6: Check Build Context

Compare environment details:

  • gradle_version and java_version: Different versions can affect build times and cache validity.
  • is_ci: CI vs local builds may have different performance characteristics.
  • git_branch and git_commit_sha: Verify the builds are from the expected commits.
  • root_project_name: Ensure both builds are from the same project structure.

Summary Format

Produce a summary with:

  1. Overall verdict: Better, worse, or neutral compared to base.
  2. Duration: Absolute and percentage change in duration_ms.
  3. Cache hit rate: Change in hit rate with explanation.
  4. Task outcomes: Notable outcome changes (hit to executed, new failures).
  5. Status: Any status changes (success to failure or vice versa).
  6. Environment: Note any environment differences that affect comparability.
  7. Recommendations: Actionable next steps based on findings.

Example:

Build Comparison: base (abc123 on main) vs head (def456 on feature-x)

Duration: 45200ms -> 62800ms (+39%) -- REGRESSION
Cache hit rate: 85% -> 72% (-13%) -- 8 tasks went from cache hit to executed
Status: success -> success

Root cause: Cache hit rate dropped because 8 tasks had invalidated caches.
The :app:compileKotlin task changed from remote_hit to executed,
cascading to 7 downstream tasks.

Recommendations:
- Investigate which source changes invalidated :app:compileKotlin cache
- Consider splitting large modules to reduce cache invalidation cascading

Done Checklist

  • Resolved both base and head builds
  • Compared duration, cache, and status metrics
  • Drilled into task-level outcomes for both builds
  • Identified root causes for any regressions
  • Provided actionable recommendations

平台分布

Codex

38.08%
按下载量换算204

Claude

26.95%
按下载量换算144

Cursor

20.56%
按下载量换算110

Gemini CLI

10.39%
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

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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