systematic-debugging

systematic-debugging is a skill for Claude Code, Codex from JerryLookupU/klein-harness. It costs 49 tokens per session (712 once invoked), scanned A, original, MIT.

A disciplined method for debugging software problems and finding their root cause. It requires collecting evidence, reproducing the failure, testing one explanation at a time, and verifying the fix.

In plain words
What is it for?
Investigating bugs, errors, regressions, exceptions, unexpected behavior, and failures where the cause must be established before making a fix.
Why use it?
It prevents guesses and broad code changes from being treated as a diagnosis. The method keeps the observed behavior, confirmed cause, repair, and verification clearly separate.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/jerrylookupu/klein-harness/systematic-debugging
Any agent
npx skills add JerryLookupU/klein-harness --skill systematic-debugging
Clone the repo
git clone --depth 1 https://github.com/JerryLookupU/klein-harness

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for systematic-debugging

README.md
[![agentmods](https://agentmods.dev/badge/skills/jerrylookupu/klein-harness/systematic-debugging.svg)](https://agentmods.dev/skills/jerrylookupu/klein-harness/systematic-debugging)
Your own site
<a href="https://agentmods.dev/skills/jerrylookupu/klein-harness/systematic-debugging"><img src="https://agentmods.dev/badge/skills/jerrylookupu/klein-harness/systematic-debugging.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 712 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00049 $0.00712
Opus 5 $0.00024 $0.00356
Sonnet 5 $0.00010 $0.00142
Haiku 4.5 $0.00005 $0.00071

Measured 5d ago against content hash 48b7b6415b13, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

systematic-debugging scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/systematic-debugging/SKILL.md · 110 lines

What it actually says

This Skill Is For

这个 skill 用于:

  • bug 报告
  • 回归
  • error / exception / traceback
  • “为什么坏了”
  • “哪里出问题了”
  • 修复前必须先找根因的场景

一句话:

先证明原因,再决定修法。

核心纪律

  • 不先给 quick fix
  • 不同时堆多个假设
  • 不在没有证据时猜原因
  • 不在没有复现或等价失败证据时宣称已经定位
  • 不把“大改一轮看看”当作调试

最小工作流

1. 写清楚现象

至少明确:

  • 观察到的错误或异常行为
  • 期望行为
  • 影响范围
  • 当前已知输入 / 环境 / 前提

2. 先取证

优先收集:

  • 完整错误信息
  • 日志 / trace / verify 输出
  • 最近相关改动
  • 相关配置和输入数据

如果拿不到完整复现,也要先拿到最接近的失败证据。

3. 尝试复现

  • 给出最小复现步骤
  • 如果不能稳定复现,写明阻塞点和替代证据
  • 区分“真实未复现”与“尚未验证”

4. 缩成单一假设

一次只保留一个当前主假设:

  • 这个假设解释了什么现象
  • 哪条证据支持它
  • 什么最小检查可以证伪它

5. 运行最小判别测试

  • 优先选能区分假设真假的最小动作
  • 不要一上来就大面积修改代码
  • 如果测试推翻假设,回到上一步换下一个假设

6. 只有确认原因后才允许修复

修复方案必须满足:

  • 与已确认原因直接对应
  • 改动面尽可能小
  • 有明确验证方法
  • 能说明为什么不会引入更大回归

7. 修复后再验证

至少验证:

  • 原问题不再出现
  • 相关回归面没有被打坏
  • 结论有命令输出、日志或文件证据支撑

交付格式

调试结论至少包含:

  • Observed
  • Expected
  • Evidence
  • Hypothesis
  • Disprover/Test
  • Confirmed CauseStill Unconfirmed
  • Minimal Fix
  • Verification

退出条件

只有在以下任一成立时才允许离开调试模式:

  • 根因已确认,且最小修复与验证路径明确
  • 当前证据不足,已清楚记录缺口和下一步取证动作

“看起来像是这里”不算完成。

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 110 lines · 49 tokens per session scan A 48b7b6415b13

Subscribe to this mod's changes

systematic-debugging is a skill published in the GitHub repository JerryLookupU/klein-harness (11 stars, last pushed 5mo ago), licensed MIT. It adds 49 tokens to every session and 712 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens