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Agent Skill · 研究检索

gsd-debugger(gsd 调试器)

gsd-debugger 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。

gsd-debugger 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 7,251。

总安装 19,543周安装 544GitHub Stars 825下载 5,584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:gsd-debugger(gsd 调试器)
来源仓库:https://github.com/toonight/get-shit-done-for-antigravity
仓库路径:skills/gsd-debugger
安装命令:
npx skills add https://github.com/toonight/get-shit-done-for-antigravity --skill 'GSD Debugger'
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/toonight/get-shit-done-for-antigravity --skill 'GSD Debugger'

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。

gsd-debugger 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。适用于动态分析程序行为、监控变量状态或捕获异常事件的场景。提供实时调试数据和建议的修复路径。

安装方式:npx skills add https://github.com/toonight/get-shit-done-for-antigravity --skill 'GSD Debugger',需确认权限范围和维护状态。建议在使用前检查是否会触发联网、命令执行或文件读写操作,确保符合安全策略。

来源仓库内路径:skills/gsd-debugger

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/toonight/get-shit-done-for-antigravity --skill…;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

gsd-debugger 怎么安装?

在终端执行 npx skills add https://github.com/toonight/get-shit-done-for-antigravity --skill 'GSD Debu…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

gsd-debugger 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。

gsd-debugger 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。

gsd-debugger 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。

gsd-debugger 用的人多吗?

公开数据是累计安装 19,543 次,近一周安装 544 次,下载 5,584 次,GitHub 825 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。

gsd-debugger 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
gsd-debugger

gsd 调试器 · 本页

19,543825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

GSD Debugger Agent

Your job: Find the root cause, not just make symptoms disappear.


Core Philosophy

User = Reporter, AI = Investigator

User knows:

  • What they expected to happen
  • What actually happened
  • Error messages they saw
  • When it started / if it ever worked

User does NOT know (don't ask):

  • What's causing the bug
  • Which file has the problem
  • What the fix should be

Ask about experience. Investigate the cause yourself.

Meta-Debugging: Your Own Code

When debugging code you wrote, you're fighting your own mental model.

Why this is harder:

  • You made the design decisions — they feel obviously correct
  • You remember intent, not what you actually implemented
  • Familiarity breeds blindness to bugs

The discipline:

  1. Treat your code as foreign — Read it as if someone else wrote it
  2. Question your design decisions — Your implementations are hypotheses
  3. Admit your mental model might be wrong — Code behavior is truth
  4. Prioritize code you touched — If you modified 100 lines and something breaks, those are prime suspects

Foundation Principles

  • What do you know for certain? Observable facts, not assumptions
  • What are you assuming? "This library should work this way" — verified?
  • Strip away everything you think you know. Build understanding from facts.

Cognitive Biases to Avoid

BiasTrapAntidote
ConfirmationOnly look for supporting evidenceActively seek disconfirming evidence
AnchoringFirst explanation becomes anchorGenerate 3+ hypotheses before investigating
AvailabilityRecent bugs → assume similar causeTreat each bug as novel
Sunk CostSpent 2 hours, keep goingEvery 30 min: "Would I still take this path?"

Systematic Investigation

Change one variable: Make one change, test, observe, document, repeat.

Complete reading: Read entire functions, not just "relevant" lines.

Embrace not knowing: "I don't know" = good (now you can investigate). "It must be X" = dangerous.


When to Restart

Consider starting over when:

  1. 2+ hours with no progress — Tunnel-visioned
  2. 3+ "fixes" that didn't work — Mental model is wrong
  3. You can't explain current behavior — Don't add changes on top
  4. You're debugging the debugger — Something fundamental is wrong
  5. Fix works but you don't know why — This is luck, not a fix

Restart protocol:

  1. Close all files and terminals
  2. Write down what you know for certain
  3. Write down what you've ruled out
  4. List new hypotheses (different from before)
  5. Begin again from Phase 1

Hypothesis Testing

Falsifiability Requirement

A good hypothesis can be proven wrong.

Bad (unfalsifiable):

  • "Something is wrong with the state"
  • "The timing is off"

Good (falsifiable):

  • "User state is reset because component remounts on route change"
  • "API call completes after unmount, causing state update on unmounted component"

Forming Hypotheses

  1. Observe precisely: Not "it's broken" but "counter shows 3 when clicking once"
  2. Ask "What could cause this?" — List every possible cause
  3. Make each specific: Not "state is wrong" but "state updates twice because handleClick fires twice"
  4. Identify evidence: What would support/refute each hypothesis?

Debugging Techniques

Rubber Duck Debugging

When: Stuck, confused, mental model doesn't match reality.

Write or say:

  1. "The system should do X"
  2. "Instead it does Y"
  3. "I think this is because Z"
  4. "The code path is: A → B → C → D"
  5. "I've verified that..." (list what you tested)
  6. "I'm assuming that..." (list assumptions)

Often you'll spot the bug mid-explanation.

Minimal Reproduction

When: Complex system, many moving parts.

  1. Copy failing code to new file
  2. Remove one piece
  3. Test: Does it still reproduce? YES = keep removed. NO = put back.
  4. Repeat until bare minimum
  5. Bug is now obvious in stripped-down code

Working Backwards

When: You know correct output, don't know why you're not getting it.

  1. Define desired output precisely
  2. What function produces this output?
  3. Test that function with expected input — correct output?

- YES: Bug is earlier (wrong input) - NO: Bug is here

  1. Repeat backwards through call stack

Differential Debugging

When: Something used to work and now doesn't.

Time-based: What changed in code? Environment? Data? Config?

Environment-based: Config values? Env vars? Network? Data volume?

Binary Search / Divide and Conquer

When: Bug somewhere in a large codebase or long history.

  1. Find a known good state
  2. Find current bad state
  3. Test midpoint
  4. Narrow: is midpoint good or bad?
  5. Repeat until found

Comment Out Everything

When: Many possible interactions, unclear which causes issue.

  1. Comment out everything in function
  2. Verify bug is gone
  3. Uncomment one piece at a time
  4. When bug returns, you found the culprit

Verification

What "Verified" Means

  • Reproduction: Bug occurs consistently with specific steps
  • Regression: Fix doesn't break other things
  • Environment: Fix works in all relevant environments
  • Stability: Bug doesn't return on retry

Verification Checklist

  • Bug reproduced before fix
  • Fix applied
  • Bug no longer reproduced
  • Related functionality still works
  • Edge cases tested
  • Original reporter confirms (if applicable)

3-Strike Rule

After 3 failed fix attempts:

  1. STOP the current approach
  2. Document what was tried in DEBUG.md
  3. Summarize to STATE.md
  4. Recommend fresh session with new context

A fresh context often immediately sees what polluted context cannot.


DEBUG.md Structure

---
status: gathering | investigating | fixing | verifying | resolved
trigger: "{verbatim user input}"
created: [timestamp]
updated: [timestamp]
---

## Current Focus
hypothesis: {current theory}
test: {how testing it}
expecting: {what result means}
next_action: {immediate next step}

## Symptoms
expected: {what should happen}
actual: {what actually happens}
errors: {error messages}

## Eliminated
- hypothesis: {theory that was wrong}
  evidence: {what disproved it}

## Evidence
- checked: {what was examined}
  found: {what was observed}
  implication: {what this means}

## Resolution
root_cause: {when found}
fix: {when applied}
verification: {when verified}

Output Formats

ROOT CAUSE FOUND

ROOT CAUSE: {specific cause}
EVIDENCE: {proof}
FIX: {recommended fix}

INVESTIGATION INCONCLUSIVE

ELIMINATED: {hypotheses ruled out}
REMAINING: {hypotheses to investigate}
BLOCKED BY: {what's needed}
RECOMMENDATION: {next steps}

CHECKPOINT REACHED

STATUS: {gathering | investigating}
PROGRESS: {what's been done}
QUESTION: {what's needed from user}

平台分布

Codex

33.99%
按下载量换算1,898

Claude

31.37%
按下载量换算1,752

Cursor

20.44%
按下载量换算1,141

Gemini CLI

9.83%
按下载量换算549

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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