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sf-testingSF 测试

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

808

周安装

34

GitHub Stars

225

下载量

283
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:sf-testing(SF 测试)
来源仓库:https://github.com/jaganpro/claude-code-sfskills
仓库路径:skills/sf-testing
安装命令:
npx skills add https://github.com/jaganpro/claude-code-sfskills --skill sf-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/jaganpro/claude-code-sfskills --skill sf-testing

简介

sf-testing 辅助测试设计、用例整理和回归验证。

  • 适合编写单元测试、端到端测试或根据日志定位问题。sf-testing 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 使用时需确认项目测试框架和运行命令,避免破坏真实逻辑。
  • 通过 npx skills add 从 GitHub 仓库安装,支持主流宿主平台。
  • 涉及浏览器或外部服务时应区分模拟环境与生产环境。

SKILL.md

sf-testing: Salesforce Test Execution & Coverage Analysis

Use this skill when the user needs Apex test execution and failure analysis: running tests, checking coverage, interpreting failures, improving coverage, and managing a disciplined test-fix loop for Salesforce code.

When This Skill Owns the Task

Use sf-testing when the work involves:

  • sf apex run test workflows
  • Apex unit-test failures
  • code coverage analysis
  • identifying uncovered lines and missing test scenarios
  • structured test-fix loops for Apex code

Delegate elsewhere when the user is:


Required Context to Gather First

Ask for or infer:

  • target org alias
  • desired test scope: single class, specific methods, suite, or local tests
  • coverage threshold expectation
  • whether the user wants diagnosis only or a test-fix loop
  • whether related test data factories already exist

Recommended Workflow

1. Discover test scope

Identify:

  • existing test classes
  • target production classes
  • test data factories / setup helpers

2. Run the smallest useful test set first

Start narrow when debugging a failure; widen only after the fix is stable.

3. Analyze results

Focus on:

  • failing methods
  • exception types and stack traces
  • uncovered lines / weak coverage areas
  • whether failures indicate bad test data, brittle assertions, or broken production logic

4. Run a disciplined fix loop

When the issue is code or test quality:

  • delegate code fixes to sf-apex when needed
  • add or improve tests
  • rerun focused tests before broader regression

5. Improve coverage intentionally

Cover:

  • positive path
  • negative / exception path
  • bulk path (251+ records where appropriate)
  • callout or async path when relevant

High-Signal Rules

  • default to SeeAllData=false
  • every test should assert meaningful outcomes
  • test bulk behavior, not just single-record happy paths
  • use factories / @TestSetup when they improve clarity and speed
  • pair Test.startTest() with Test.stopTest() when async behavior matters
  • do not hide flaky org dependencies inside tests

Output Format

When finishing, report in this order:

  1. What tests were run
  2. Pass/fail summary
  3. Coverage result
  4. Root-cause findings
  5. Fix or next-run recommendation

Suggested shape:

Test run: <scope>
Org: <alias>
Result: <passed / partial / failed>
Coverage: <percent / key classes>
Issues: <highest-signal failures>
Next step: <fix class, add test, rerun scope, or widen regression>

Cross-Skill Integration

NeedDelegate toReason
fix production code or author testssf-apexcode generation and repair
create bulk / edge-case datasf-datarealistic test datasets
deploy updated testssf-deployrollout
inspect detailed runtime logssf-debugdeeper failure analysis

Reference Map

Start here

Specialized guidance


Score Guide

ScoreMeaning
108+strong production-grade test confidence
96–107good test suite with minor gaps
84–95acceptable but strengthen coverage / assertions
< 84below standard; revise before relying on it

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

37.18%
按下载量换算105

Claude

31.08%
按下载量换算88

Cursor

18.82%
按下载量换算53

Gemini CLI

9.39%
按下载量换算27

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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