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180-java-observability-logging180 Java observability logging 测试

Agent Skill

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。

总安装

1,473

周安装

59

GitHub Stars

365

下载量

477
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:180-java-observability-logging(180 Java observability logging 测试)
来源仓库:https://github.com/jabrena/cursor-rules-java
仓库路径:skills/180-java-observability-logging
安装命令:
npx skills add https://github.com/jabrena/cursor-rules-java --skill 180-java-observability-logging
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/jabrena/cursor-rules-java --skill 180-java-observability-logging

简介

适用于需要提升 Java 应用日志质量与可观测性的开发场景, 尤其适合 Spring Boot 项目中的日志架构设计。

  • 核心能力包括选择合适的日志框架、配置环境适配的日志输出格式、实现安全的敏感数据脱敏以及集成监控告警机制。
  • 使用时需结合项目现有技术栈和合规要求,合理设置日志级别与存储策略。
  • 安装后需验证日志配置是否生效并符合团队规范。

SKILL.md

Java Logging Best Practices

Implement effective Java logging following standardized frameworks, meaningful log levels, core practices (parameterized logging, exception handling, no sensitive data), flexible configuration, security-conscious logging, monitoring and alerting, and comprehensive logging validation through testing.

What is covered in this Skill?

  • Standardized framework selection: SLF4J facade with Logback or Log4j2
  • Meaningful and consistent log levels: ERROR, WARN, INFO, DEBUG, TRACE
  • Core practices: parameterized logging, proper exception handling, avoiding sensitive data
  • Configuration: environment-specific (logback.xml, log4j2.xml), output formats, log rotation
  • Security: mask sensitive data, control log access, secure transmission, GDPR/HIPAA compliance
  • Log monitoring and alerting: centralized aggregation (ELK, Splunk, Loki), automated alerts
  • Logging validation through testing: assert log messages, verify formats, test levels, measure performance impact

Scope: The reference is organized by examples (good/bad code patterns) for each core area. Apply recommendations based on applicable examples.

Constraints

Before applying any logging recommendations, ensure the project compiles. Compilation failure is a blocking condition. After applying improvements, run full verification.

  • MANDATORY: Run ./mvnw compile or mvn compile before applying any change
  • SAFETY: If compilation fails, stop immediately — do not proceed until resolved
  • VERIFY: Run ./mvnw clean verify or mvn clean verify after applying improvements
  • BEFORE APPLYING: Read the reference for detailed good/bad examples, constraints, and safeguards for each logging pattern

When to use this skill

  • Improve logging
  • Apply logging
  • Refactor logging
  • Add logging support

Workflow

  1. Compile project before logging changes

Run ./mvnw compile or mvn compile and stop immediately if compilation fails.

  1. Read logging reference and assess current observability

Read references/180-java-observability-logging.md and evaluate framework usage, log levels, sensitive-data handling, and config gaps.

  1. Apply logging and observability improvements

Implement selected framework/configuration/practice changes, including secure logging and monitoring integration where applicable.

  1. Verify with full build

Run ./mvnw clean verify or mvn clean verify after applying improvements.

Reference

For detailed guidance, examples, and constraints, see references/180-java-observability-logging.md.

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

33.72%
按下载量换算161

Claude

29.57%
按下载量换算141

Cursor

19.16%
按下载量换算91

Gemini CLI

10.05%
按下载量换算48

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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