Token导航 LogoToken导航TokenDH.com
开发需要联网github未标认证来源可访问许可证需确认审计通过

branch-quiz分支测验

Agent Skill

branch-quiz 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

总安装

499

周安装

21

GitHub Stars

1

下载量

175
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:branch-quiz(分支测验)
来源仓库:https://github.com/buildrtech/dotagents
仓库路径:skills/branch-quiz
安装命令:
npx skills add https://github.com/buildrtech/dotagents --skill branch-quiz
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/buildrtech/dotagents --skill branch-quiz

简介

branch-quiz 通过提问方式检验用户对分支变更的理解程度,覆盖运行时行为、边界条件与安全影响等维度。

  • 适用于代码审查教育、知识传递与潜在风险点暴露,帮助用户主动思考而非被动阅读 diff。
  • 基于 git diff 生成针对性问题集,评分机制识别理解缺口并提供补充学习建议,强化记忆留存。
  • 仅读取本地 diff 不修改任何文件,适合在合并前作为软性检查手段配合人工复核使用。
  • 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。

SKILL.md

Overview

Quiz the user on a git branch's changes to verify genuine comprehension. Rather than passively reading diffs, the user answers targeted questions covering: runtime behavior, embedded assumptions, failure points, edge cases, API design decisions, data model changes, data flows, security implications, performance impacts, and dependencies & integration effects. Score their understanding and surface any gaps.

Process

1. Gather the Diff

Run git diff main...HEAD to collect all changes on the current branch. If the branch has no diff against main, inform the user and stop.

2. Analyze the Changes

Read through every changed file. Build a mental model of:

  • What behavior changed and why
  • What assumptions are baked into the new code
  • Where things could break under unexpected input or load
  • How the changes affect API contracts, data models, and data flows
  • Security surface area introduced or altered
  • Performance characteristics that shifted
  • How the changes ripple into other parts of the system

3. Generate the Quiz

Produce 5-10 questions that test genuine understanding, not surface recall. Each question should:

  • Target a specific dimension (behavior, assumptions, failure, edge cases, API design, data model, data flow, security, performance, or dependencies)
  • Require reasoning about the code, not just restating what changed
  • Be answerable from the diff alone — no trick questions

Label each question with its dimension in brackets, e.g. [Failure Points].

Present questions one at a time using AskUserQuestion. Provide 3-4 multiple choice options per question when possible. For questions that require free-form reasoning, use open-ended format.

4. Evaluate Answers

After each answer, respond with:

  • Correct or Incorrect
  • A brief explanation referencing the relevant code
  • The file and line range where the answer lives

Track the running score as the quiz progresses.

5. Report Results

After all questions, present a summary:

  • Overall score (e.g. 7/10)
  • Comprehension breakdown by dimension (which areas were strong, which had gaps)
  • For any missed questions, a focused explanation of what the user should review
  • Suggest specific files or sections to re-read for any weak areas

Common Mistakes

  • Don't ask trivia questions. "What line number was changed?" tests nothing. Every question should require the user to reason about consequences.
  • Don't reveal answers in the question. Avoid leading phrasing that gives away the correct option.
  • Don't skip the diff analysis. Read every changed file before generating questions. Shallow analysis produces shallow questions.
  • Don't overwhelm with questions. Stay in the 5-10 range. Quality over quantity.
  • Don't grade harshly on wording. If the user demonstrates understanding with different terminology, mark it correct.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.38%
按下载量换算60

Claude

28.22%
按下载量换算49

Cursor

18.73%
按下载量换算33

Gemini CLI

10.46%
按下载量换算18

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills