diagnosing-bugs

通过复现、最小化、可证伪假设、定向观测、修复和回归证据诊断疑难缺陷或性能退化。

IndexedMIT★ 1

Chalk Labs

Need help deploying diagnosing-bugs?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/snbc-qihang-diagnosing-bugs

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

About

通过复现、最小化、可证伪假设、定向观测、修复和回归证据诊断疑难缺陷或性能退化。

Reviews

Write a review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools: No tools found
Secrets: None asked for
Install scripts: None found

Network hosts it talks to 1

codeload.github.com · found in install command

Files it touches

~/.claude/skills/diagnosing-bugs

What's inside

Skill name: diagnosing-bugs
Description: 通过复现、最小化、可证伪假设、定向观测、修复和回归证据诊断疑难缺陷或性能退化。
License: MIT
Instructions: 19 lines in SKILL.md · view on GitHub

Files (3)

SKILL.md
flaky-bugs.md · references/
performance.md · references/

SKILL.md (first lines)

本 skill 仅使用当前 `engineering-assistant` 的能力与 Runtime。平台已选本 skill 时直接执行，不重复路由或跨插件推进同一运行。

# 缺陷诊断

改变行为前，先围绕用户报告的准确症状建立紧凑且可复现失败的反馈环。

## 操作流程

1. 复现症状并测量出现频率或成本。
2. 在不改变观察故障的前提下最小化反馈环。
3. 列出相互竞争且可证伪的假设。
4. 添加能够区分这些假设的定向观测或测试。
5. 修复有证据支持的根因，删除诊断沉积，并重新运行原始反馈环和回归测试。

非确定性症状读取 [references/flaky-bugs.md](references/flaky-bugs.md)；性能退化读取 [references/performance.md](references/performance.md)。只加载相关分支。

不得修复第一个看似合理的原因，也不得用大范围日志代替假设。

From snbc-qihang/agent-skills, MIT.

Signals

Stars: 1
Forks: 0
Open issues: 0
Last commit (this folder): Oct 19, 2026 (12 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/snbc-qihang/agent-skills
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

More from snbc-qihang

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped: 50+; launches shipped
media placements: 500+; media placements
founders on every account: 2; founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get diagnosing-bugs running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Need help deploying diagnosing-bugs?

Call Get help

Cite this page

diagnosing-bugs skill. Agent Mart. https://agentmart.dev/skills/snbc-qihang-diagnosing-bugs (last updated 2026-10-24)

Need help deploying diagnosing-bugs?

Install

About

Reviews

Permissions

Network hosts it talks to 1

Files it touches

What's inside

More from snbc-qihang/agent-skills

Signals

Details

More from snbc-qihang

Rather not set it up yourself?

Get diagnosing-bugs running in your business