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Agent Skill · 研究检索

systematic-debugging(系统调试)

systematic-debugging 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。

systematic-debugging 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 47,935。

总安装 710周安装 29GitHub Stars 1下载 230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:systematic-debugging(系统调试)
来源仓库:https://github.com/pixel-process-ug/superkit-agents
仓库路径:skills/systematic-debugging
安装命令:
npx skills add https://github.com/pixel-process-ug/superkit-agents --skill systematic-debugging
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/pixel-process-ug/superkit-agents --skill systematic-debugging

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。

systematic-debugging 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。适用于系统调试相关的信息搜集与筛选,可结合来源仓库和原始 README 核验具体用法。

通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和维护状态。安装前建议确认是否会触发联网、命令执行或文件读写等操作边界。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/systematic-debugging

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/pixel-process-ug/superkit-agents --skill 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

systematic-debugging 怎么安装?

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

systematic-debugging 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。

systematic-debugging 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。

systematic-debugging 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。

systematic-debugging 用的人多吗?

公开数据是累计安装 710 次,近一周安装 29 次,下载 230 次,GitHub 1 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。

systematic-debugging 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
systematic-debugging

系统调试 · 本页

7101需要联网未明确通过

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

Systematic Debugging

Overview

Debugging is investigation, not experimentation. This skill enforces a rigorous 4-phase process — root cause investigation, pattern analysis, hypothesis testing, and architecture questioning — that prevents shotgun debugging and ensures every fix is understood before it is applied.

Announce at start: "I'm using the systematic-debugging skill to investigate this issue."


Core Principle

┌─────────────────────────────────────────────────────────────────┐
│  HARD-GATE: NEVER GUESS. NEVER SHOTGUN DEBUG.                  │
│  NEVER CHANGE CODE WITHOUT UNDERSTANDING WHY IT IS BROKEN.     │
│                                                                 │
│  You are a detective gathering evidence, not a gambler trying   │
│  random fixes. If you are changing code without understanding   │
│  the root cause, STOP immediately.                             │
└─────────────────────────────────────────────────────────────────┘

Phase 1: Root Cause Investigation

Goal: Understand exactly WHAT is happening, not what you think is happening.

Actions

  1. Read the error message carefully. The entire message. Every line. Including the stack trace.
  2. Reproduce the bug. If you cannot reproduce it, you cannot fix it. Find the exact steps.
  3. Gather evidence. Collect:

- Full error message and stack trace - Input that triggers the bug - Expected behavior vs actual behavior - Environment details (versions, config, OS)

  1. Check recent changes. What changed since this last worked?

- Recent commits (git log, git diff) - Dependency updates - Configuration changes - Environment changes

Evidence Gathering Checklist

  • Full error message captured (not truncated)
  • Stack trace read from bottom to top
  • Bug reproduced reliably with specific steps
  • Expected vs actual behavior documented
  • Recent changes reviewed (git log --oneline -20)
  • Relevant logs examined

STOP — HARD-GATE: Do NOT proceed to Phase 2 until:

  • You can reproduce the bug consistently
  • You have the full error message and stack trace
  • You know what changed recently
  • You can describe the bug precisely (not vaguely)

Phase 2: Pattern Analysis

Goal: Narrow down WHERE the problem lives and WHEN it occurs.

Actions

  1. Find working examples. Does this feature work in other contexts? With other inputs? In other environments?
  2. Compare working vs broken. What is different between the case that works and the case that does not?
  3. Check dependencies. Are all required services/libraries/configs present and correct?
  4. Isolate the scope. Can you reproduce with a minimal example? Strip away everything non-essential.

Comparison Matrix

Fill this out to identify the pattern:

FactorWorking CaseBroken CaseDifferent?
Input data
Environment
Configuration
Dependencies
Timing/order
User/permissions
State/context

STOP — HARD-GATE: Do NOT proceed to Phase 3 until:

  • You have identified at least one working case for comparison
  • You have compared working vs broken and identified differences
  • You have isolated the scope to the smallest reproducible case
  • Dependencies have been verified (versions, availability, config)

Phase 3: Hypothesis and Testing

Goal: Form ONE specific, testable hypothesis and verify it with the smallest possible change.

Actions

  1. Form ONE hypothesis. Based on evidence from Phases 1-2, what is the single most likely cause?

- State it explicitly: "The bug occurs because [specific cause]" - If you cannot state it specifically, go back to Phase 1 or 2

  1. Design a minimal test. What is the smallest change to confirm or deny this hypothesis?

- Prefer adding a test case over modifying production code - Prefer logging/assertions over code changes - Prefer reverting a change over writing new code

  1. Apply the change and test.

- Make ONLY the change needed to test the hypothesis - Run the test suite - Observe the result

  1. Evaluate.

- If CONFIRMED: proceed with the fix, write a regression test - If DENIED: record what you learned, form a new hypothesis, return to step 1

Hypothesis Log Template

Hypothesis #1: [description]
Test: [what you did]
Result: CONFIRMED / DENIED
Learning: [what this taught you]

Hypothesis #2: ...

Decision Table: Hypothesis Testing Approach

Hypothesis TypeTesting MethodExample
Recent code change caused itgit bisect or revert commit"The bug was introduced in commit abc123"
Data shape mismatchAdd logging/assertion"The API returns null instead of array"
Race conditionAdd timing logs or serialize"Request B completes before request A"
Configuration errorCompare configs across environments"Production uses different DB host"
Dependency version issueLock to known-good version"Library 2.0 changed the API surface"

STOP — HARD-GATE: Do NOT proceed to Phase 4 unless:

  • You have tested at least 3 hypotheses and ALL were denied
  • Each hypothesis was specific and testable
  • Each test was minimal (one change at a time)
  • You recorded learnings from each failed hypothesis

Phase 4: Architecture Questioning

Goal: If 3+ hypotheses have failed, the problem may be structural. Step back and question assumptions.

This phase is triggered ONLY after Phase 3 has been attempted at least 3 times without success.

Actions

  1. Question your assumptions. What have you been assuming is true that might not be?

- Is the data shaped the way you think it is? - Is the control flow what you expect? - Are the types what you think they are? - Is the API contract what you assumed?

  1. Question the design. Is the current approach fundamentally flawed?

- Is there a race condition in the design? - Is there a state management problem? - Is there an incorrect abstraction? - Are responsibilities misplaced?

  1. Consider redesign. Sometimes the fix is not a patch but a restructuring.

- Can you simplify the design to eliminate the bug class entirely? - Is there a pattern that handles this case better? - Should you replace rather than fix?

  1. Seek external input. If you are stuck:

- Explain the problem to someone else (rubber duck debugging) - Search for known issues in dependencies - Check if others have encountered similar problems

STOP — HARD-GATE: Do NOT continue without:

  • Written list of assumptions that were questioned
  • Explicit decision: patch the current design OR redesign
  • If redesigning: a plan before implementing
  • If patching: a new hypothesis informed by the assumption review

Debugging Decision Flowchart

Error encountered
    |
    v
Can you reproduce it?
    |
    +-- NO --> Gather more information (logs, user reports, monitoring)
    |          Try different inputs, environments, timing
    |          Do NOT proceed until reproducible
    |
    +-- YES -> Read the FULL error message and stack trace
               |
               v
         Is the cause obvious from the error?
               |
               +-- YES -> Form hypothesis, test it (Phase 3)
               |          Still write a regression test
               |
               +-- NO --> Complete Phase 1 evidence gathering
                          |
                          v
                    Find working case for comparison (Phase 2)
                          |
                          v
                    Identify differences
                          |
                          v
                    Form and test hypotheses (Phase 3)
                          |
                          +-- Fixed --> Write regression test, verify
                          |
                          +-- 3+ failed hypotheses --> Phase 4

Red Flags Table

Red FlagWhat It MeansAction
Changing code without understanding the bugShotgun debuggingGo back to Phase 1
Fix works but you do not know whyAccidental fix, likely to regressInvestigate until you understand
Same bug keeps coming backRoot cause not addressedGo to Phase 4, question design
Fix causes new bugs elsewhereUnexpected couplingMap dependencies before proceeding
"It works on my machine"Environment differenceGo to Phase 2, comparison matrix
Fix requires more than 20 linesMight be a design issueGo to Phase 4
Debugging for 30+ minutesTunnel visionTake a break, re-read evidence from Phase 1
Reading the same code repeatedlyMissing something fundamentalGet a fresh perspective, explain aloud
Multiple causes seem equally likelyInsufficient investigationGo back to Phase 1, gather more evidence

Anti-Patterns / Common Mistakes

Anti-PatternWhy It Is WrongCorrect Approach
Changing random things to see if bug goes awayWastes time, introduces new bugsForm a hypothesis first
Adding try/catch to suppress the errorHides the real problemFix the root cause
Rewriting the feature from scratchNuclear option is rarely neededIsolate and fix the specific issue
Blaming the framework/library without evidenceUsually your code is wrongProve the framework bug with minimal repro
Skipping the regression test after fixingBug will returnWrite the test, always
Fixing symptoms instead of root causesPatches accumulate, system degradesTrace to the actual cause
Debugging for 45+ minutes without stepping backTunnel vision reduces effectivenessTake a break, re-read Phase 1 evidence
Ignoring error messages or stack tracesThe answer is often in the errorRead every line of the error

Integration Points

SkillRelationship
test-driven-developmentEvery bug fix MUST include a regression test (RED-GREEN cycle)
verification-before-completionAfter fixing a bug, verify with fresh evidence
resilient-executionWhen debugging during task execution, pause task, complete debugging, resume
code-reviewReview the fix for completeness and side effects
self-learningRecord new debugging patterns in learned-patterns.md
acceptance-testingVerify fix does not break acceptance criteria

Quick Reference: What NOT To Do

  1. Do NOT change random things and see if the bug goes away
  2. Do NOT add try/catch to suppress the error
  3. Do NOT rewrite the feature from scratch as a first resort
  4. Do NOT blame the framework/library without evidence
  5. Do NOT skip writing a regression test after fixing
  6. Do NOT fix symptoms instead of root causes
  7. Do NOT debug for more than 45 minutes without stepping back
  8. Do NOT ignore error messages or stack traces

Skill Type

RIGID — The 4-phase process is mandatory and must be followed in order. Each phase has a HARD-GATE that must be satisfied before proceeding. Never change code without understanding why it is broken.

平台分布

Codex

34.64%
按下载量换算80

Claude

28.47%
按下载量换算65

Cursor

17.23%
按下载量换算40

Gemini CLI

9.95%
按下载量换算23

安全审计

Gen Agent Trust Hub

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。目前只有一个公开来源,建议同时核对源仓库。

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