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Agent Skill · 研究检索

performing-systematic-debugging-for-stubborn-problems(对顽固问题进行系统调试)

performing-systematic-debugging-for-stubborn-problems 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。

performing-systematic-debugging-for-stubborn-problems 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,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 38,381。

总安装 1,567周安装 64GitHub Stars 125下载 502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:performing-systematic-debugging-for-stubborn-problems(对顽固问题进行系统调试)
来源仓库:https://github.com/sammcj/agentic-coding
仓库路径:skills/performing-systematic-debugging-for-stubborn-problems
安装命令:
npx skills add https://github.com/sammcj/agentic-coding --skill performing-systematic-debugging-for-stubborn-problems
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/sammcj/agentic-coding --skill performing-systematic-debugging-for-stubborn-problems

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。

针对顽固问题提供结构化调试流程,提升故障定位效率。适合在复杂代码或异常场景中引导 Agent 逐步排查根本原因。通过 GitHub 仓库安装,依赖本地项目上下文进行推理分析。需确认项目结构、日志级别和调试符号配置以支持精准诊断。

performing-systematic-debugging-for-stubborn-problems 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/performing-systematic-debugging-for-stubborn-problems

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/sammcj/agentic-coding --skill performing-syste…;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

performing-systematic-debugging-for-stubborn-problems 怎么安装?

在终端执行 npx skills add https://github.com/sammcj/agentic-coding --skill performing-systematic-debu…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

performing-systematic-debugging-for-stubborn-problems 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。

performing-systematic-debugging-for-stubborn-problems 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。

performing-systematic-debugging-for-stubborn-problems 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。

performing-systematic-debugging-for-stubborn-problems 用的人多吗?

公开数据是累计安装 1,567 次,近一周安装 64 次,下载 502 次,GitHub 125 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。

performing-systematic-debugging-for-stubborn-problems 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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
performing-systematic-debugging-for-stubborn-problems

对顽固问题进行系统调试 · 本页

1,567125需要联网未明确未通过

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

Systematic Debugging with Fagan Inspection

This skill applies a modified Fagan Inspection methodology for systematic problem resolution when facing complex problems or stubborn bugs that have resisted multiple fix attempts.

Process Overview

Follow these four phases sequentially. Do not skip phases or attempt fixes before completing the inspection.

Phase 1: Initial Overview

Establish a clear understanding of the problem before analysis:

  • Explain the problem in plain language without technical jargon
  • State expected behaviour - what should happen
  • State actual behaviour - what is happening instead
  • Document symptoms - error messages, logs, observable failures
  • Context - when does it occur, how often, under what conditions

Output: A clear problem statement that anyone could understand.

Phase 2: Systematic Inspection

Perform a line-by-line walkthrough as the "Reader" role in Fagan Inspection. Identify defects without attempting to fix them yet - this is pure inspection.

Check against these defect categories:

  1. Logic Errors

- Incorrect conditional logic (wrong operators, inverted conditions) - Loop conditions (infinite loops, premature termination) - Control flow issues (unreachable code, wrong execution paths)

  1. Boundary Conditions

- Off-by-one errors - Edge cases (empty inputs, null values, maximum values) - Array/collection bounds

  1. Error Handling

- Unhandled exceptions - Missing validations - Silent failures (errors caught but not logged) - Incorrect error recovery

  1. Data Flow Issues

- Variable scope problems - Data transformation errors - Type mismatches or coercion issues - State management (stale data, race conditions)

  1. Integration Points

- API calls (incorrect endpoints, malformed requests, missing headers) - Database interactions (query errors, transaction handling) - External dependencies (version mismatches, configuration issues) - Timing issues (async/await problems, race conditions)

Think aloud during this phase. For each section of code:

  • State what the code is intended to do
  • Identify any discrepancies between intent and implementation
  • Flag assumptions or unclear aspects
  • Use ultrathink to think deeper on complex sections

Output: A categorised list of identified defects with line numbers and specific descriptions.

Phase 3: Root Cause Analysis

After identifying issues, trace back to find the fundamental cause - not just symptoms.

Five Whys Technique:

  • Ask "why" repeatedly (at least 3-5 times) to get to the underlying issue
  • State each "why" explicitly in your analysis
  • Example:

- Why did the API call fail? → Because the request was malformed - Why was it malformed? → Because the data wasn't serialised correctly - Why wasn't it serialised? → Because the serialiser expected a different type - Why did it expect a different type? → Because the schema was updated but code wasn't - Root cause: Schema versioning mismatch between services

Consider:

  • Environmental factors (configuration, dependencies, runtime environment)
  • Timing and concurrency (race conditions, async issues)
  • Hidden assumptions in the code or system design
  • Historical context (recent changes, migrations, updates)

State assumptions explicitly:

  • "I'm assuming X because..."
  • "This presumes that Y is always..."
  • Flag any assumptions that need verification

Output: A clear statement of the root cause, the chain of reasoning that led to it, and any assumptions that need validation.

Phase 4: Solution & Verification

Now propose specific fixes for each identified issue.

For each proposed solution:

  1. Describe the fix - what code/configuration changes are needed
  2. Explain why it resolves the root cause - connect it back to Phase 3 analysis
  3. Consider side effects - what else might this change affect
  4. Define verification steps - how to confirm the fix works

Verification Planning:

  • Specific test cases that would have caught this bug
  • Manual verification steps
  • Monitoring or logging to add
  • Edge cases to validate

Output: A structured list of fixes with verification steps.

Important Guidelines

  • Complete each phase thoroughly before moving to the next
  • Think aloud - verbalise your reasoning throughout
  • State assumptions explicitly rather than making implicit ones
  • Flag unclear aspects rather than guessing - if something is uncertain, say so
  • Use available tools - read files, search code, run tests, check logs
  • Focus on systematic analysis over quick fixes
  • Validate flagged aspects - after completing all phases, revisit any unclear points and use the think tool with "ultra" depth if needed to clarify them

Final Output

After completing all four phases, provide:

  1. Summary of findings - key defects and root cause
  2. Proposed solutions - prioritised list with rationale
  3. Verification plan - how to confirm fixes work
  4. Next steps - unless the user indicates otherwise, proceed to implement the proposed solutions

When This Skill Should NOT Be Used

  • For simple, obvious bugs with clear fixes
  • When the first debugging attempt is still underway
  • For new features (this is for debugging existing code)
  • When the problem is clearly environmental (config, infrastructure) and doesn't require code inspection

平台分布

Codex

35.19%
按下载量换算177

Claude

29.62%
按下载量换算149

Cursor

20.18%
按下载量换算101

Gemini CLI

9.08%
按下载量换算46

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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