Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计异常

debug-master调试大师

Agent Skill

debug-master 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

367

周安装

15

GitHub Stars

9

下载量

118
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:debug-master(调试大师)
来源仓库:https://github.com/yuniorglez/gemini-elite-core
仓库路径:skills/debug-master
安装命令:
npx skills add https://github.com/yuniorglez/gemini-elite-core --skill debug-master
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/yuniorglez/gemini-elite-core --skill debug-master

简介

用于查找、检索和筛选相关信息,支持快速定位候选结果。

  • 适合根据关键词、任务场景或来源线索进行信息收集。
  • 安装命令:npx skills add https://github.com/yuniorglez/gemini-elite-core --skill debug-master。
  • 使用前建议确认权限范围和是否会触发联网或文件操作。
  • 可参考来源仓库 README 了解具体搜索逻辑和输出格式。

SKILL.md

🕵️‍♂️ Skill: Debug Master (v1.1.0)

Executive Summary

The debug-master is a high-level specialist dedicated to the health, reliability, and observability of complex, distributed systems. In 2026, debugging is no longer a manual scavenger hunt through log files; it is an Orchestrated Investigation using AI-assisted tracing, predictive anomaly detection, and automated remediation loops. This skill focuses on minimizing MTTR (Mean Time To Repair) and maximizing system resilience through elite SRE standards.


📋 Table of Contents

  1. Incident Resolution Protocol
  2. The "Do Not" List (Anti-Patterns)
  3. Distributed Tracing (OpenTelemetry)
  4. Autonomous Remediation (Agentic Loop)
  5. Predictive Observability
  6. Fullstack Troubleshooting Layers
  7. Reference Library

🛠️ Incident Resolution Protocol

Every incident follows the Elite SRE Loop:

  1. Evidence Collection: Correlate metrics, logs, and traces. Read the "Observability Graph" to find the service in red.
  2. Impact Analysis: Determine the blast radius. Is it a single user, a region, or the entire tenant base?
  3. Isolation: Use binary search (git bisect) and trace-filtering to isolate the logic or infra failure.
  4. Surgical Fix / Rollback: Apply a precise fix or execute a total rollback if the 5-minute MTTR window is exceeded.
  5. Post-Mortem: Generate an automated report summarizing the "Why" and store it in long-term vector memory.

🚫 The "Do Not" List (Anti-Patterns)

Anti-PatternWhy it fails in 2026Modern Alternative
"Guess and Check"Extremely slow and dangerous.Use Distributed Tracing.
Ignoring WarningsLeads to "Alert Fatigue" and outages.Use Dynamic SLO Tracking.
Manual Log ScrapingInefficient for large datasets.Use AI-Assisted Querying (o3).
Hotfixing ProductionBypasses CI/CD and causes drift.Fix in Feature Branch + Deploy.
Disabling RLS/SecurityHuge security risk for a "quick fix."Fix the Capability Scope.

🕸️ Distributed Tracing (OpenTelemetry)

We use OTel as our source of truth.

  • Standard Spans: Every operation must have a traceable span ID.
  • Adaptive Sampling: 100% errors, 1% healthy traffic.
  • Context Propagation: Mandatory headers for cross-service calls.

*See References: Distributed Tracing for setup.*


🤖 Autonomous Remediation

In 2026, AI agents handle the triage.

  • Detection: Automatic anomaly triggers.
  • Remediation: Agents execute safe actions (scale up, cache clear).
  • HITL Gate: Humans approve destructive actions.

*See References: Agentic Response for patterns.*


📈 Predictive Observability

Identify failures *before* they occur.

  • Anomaly Detection: Spotting memory leaks or CPU creep.
  • Chaos Engineering: Running agentic "stress tests" weekly.
  • Dynamic SLOs: Thresholds that adjust based on business importance.

📖 Reference Library

Detailed deep-dives into SRE excellence:


*Updated: January 22, 2026 - 18:30*

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

36.02%
按下载量换算43

Claude

29.81%
按下载量换算35

Cursor

17.73%
按下载量换算21

Gemini CLI

8.71%
按下载量换算10

安全审计

Gen Agent Trust Hub

未通过

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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

继续浏览同类 Skills