Token导航 LogoToken导航

Agent Skill · 研究检索

codebase-analysis(代码库分析)

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

codebase-analysis 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,权限为操作浏览器;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 52,984。

总安装 541周安装 23GitHub Stars 6下载 190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:codebase-analysis(代码库分析)
来源仓库:https://github.com/atman36/ai-vibe-prompts
仓库路径:skills/codebase-analysis
安装命令:
npx skills add https://github.com/atman36/ai-vibe-prompts --skill codebase-analysis
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/atman36/ai-vibe-prompts --skill codebase-analysis

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。

codebase-analysis 系统化分析项目结构、技术栈和代码质量,输出架构图和复杂度指标。它识别关键组件关系、依赖冲突和潜在重构点,辅助制定技术决策路线图。自动触发条件包括用户明确要求分析、新项目启动或重大变更前的审计需求。分析结果应结合团队上下文解读,避免机械套用指标而忽略业务特殊性。

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/codebase-analysis

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/atman36/ai-vibe-prompts --skill codebase-analy…;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

    它需要操作浏览器,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

codebase-analysis 怎么安装?

在终端执行 npx skills add https://github.com/atman36/ai-vibe-prompts --skill codebase-analysis。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

codebase-analysis 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。

codebase-analysis 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

codebase-analysis 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。

codebase-analysis 用的人多吗?

公开数据是累计安装 541 次,近一周安装 23 次,下载 190 次,GitHub 6 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。

codebase-analysis 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
codebase-analysis

代码库分析 · 本页

5416操作浏览器未明确通过

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

Codebase Analysis Skill

Objective

Perform comprehensive, systematic analysis of project codebases to understand:

  • Project structure and organization
  • Technology stack and dependencies
  • Architectural patterns and conventions
  • Code complexity and quality metrics
  • Key components and their relationships

When to Use This Skill

Auto-invoke when:

  • Starting work on a new project
  • User asks to "analyze", "review", "audit", or "understand" the codebase
  • Before making architectural decisions
  • Planning refactoring or major changes
  • Onboarding new developers

Analysis Methodology

Phase 1: Discovery (Project Structure)

Goal: Map the high-level project organization

Tools: Glob, LS, Read

Process:

  1. Identify project type by reading package.json, tsconfig.json, or framework-specific configs
  2. Map directory structure using LS at root level: Key directories to identify: - Source code: src/, app/, pages/, components/ - Tests: __tests__/, tests/, *.test.*, *.spec.* - Config: config/,.config/ - Documentation: docs/, README.md - Build output: dist/, build/,.next/
  3. Scan for important files:

- Build configs: vite.config.*, webpack.config.*, next.config.* - TypeScript: tsconfig.json, tsconfig.*.json - Package management: package.json, package-lock.json, yarn.lock, pnpm-lock.yaml - Environment: .env*, .env.example - Git: .gitignore, .git/

Phase 2: Technology Stack Analysis

Goal: Identify frameworks, libraries, and versions

Tools: Read, Grep

Process:

  1. Read package.json:

- Extract dependencies (runtime libraries) - Extract devDependencies (development tools) - Note scripts (available commands) - Check engines (Node.js version requirements)

  1. Identify framework:

- Next.js: Check for next in dependencies, next.config.*, app/ or pages/ directory - React: Check for react and react-dom - Vue: Check for vue, *.vue files - Svelte: Check for svelte, *.svelte files - Angular: Check for @angular/core, angular.json

  1. Identify key libraries:

- State management: Redux, Zustand, MobX, Pinia - Routing: react-router, vue-router, next/navigation - UI libraries: MUI, Ant Design, shadcn/ui, Chakra UI - Styling: Tailwind CSS, styled-components, emotion, CSS modules - Testing: Vitest, Jest, Playwright, Cypress - Build tools: Vite, Webpack, esbuild, Turbopack

Phase 3: Architecture Pattern Analysis

Goal: Understand code organization and patterns

Tools: Grep, Glob, Read

Process:

  1. Component patterns (for React/Vue/Svelte): Use Glob to find: **/*.{jsx,tsx,vue,svelte} Analyze: - Component naming conventions - File structure (co-located styles, tests) - Component size (lines of code)
  2. API/Backend patterns: Use Grep to search for: - API routes: "export.*GET|POST|PUT|DELETE" - Database queries: "prisma\.|mongoose\.|sql" - Authentication: "auth|jwt|session"
  3. State management patterns: Use Grep to find: - Context API: "createContext|useContext" - Redux: "createSlice|useSelector" - Zustand: "create.*useStore"
  4. File organization patterns:

- Monorepo: Check for packages/, apps/, turbo.json, nx.json - Feature-based: Check for directories like features/, modules/ - Layer-based: Check for components/, services/, utils/, hooks/

Phase 4: Code Quality & Complexity Assessment

Goal: Identify potential issues and technical debt

Tools: Grep, Bash, Read

Process:

  1. Linting & Formatting:

- Check for: .eslintrc*, .prettierrc*, biome.json - Run linter if available: npm run lint (via Bash)

  1. Testing coverage:

- Find test files: Use Glob for **/*.{test,spec}.{js,ts,jsx,tsx} - Calculate coverage: Run npm run test:coverage if available

  1. TypeScript strictness:

- Read tsconfig.json - Check strict: true, strictNullChecks, etc. - Look for @ts-ignore or any usage (Grep)

  1. Code complexity indicators: Use Grep to flag potential issues: - Large files: Find files > 500 lines - Deep nesting: Search for excessive indentation - TODO/FIXME comments: Grep for "TODO|FIXME|HACK" - Console logs: Grep for "console\.(log|debug|warn)"

Phase 5: Dependency & Security Analysis

Goal: Identify outdated or vulnerable dependencies

Tools: Bash, Read

Process:

  1. Check for lock files:

- Presence of package-lock.json, yarn.lock, pnpm-lock.yaml

  1. Run security audit (if npm/pnpm available): npm audit --json # or pnpm audit --json
  2. Check for outdated dependencies: npm outdated

Output Format

Provide a structured analysis report:

# Codebase Analysis Report

## Project Overview
- **Name**: [project name from package.json]
- **Type**: [framework/library]
- **Version**: [version]
- **Node.js**: [required version]

## Technology Stack
### Core Framework
- [Framework name & version]

### Key Dependencies
- UI: [library]
- State: [library]
- Routing: [library]
- Styling: [library]
- Testing: [library]

### Build Tools
- [Vite/Webpack/etc]

## Architecture

### Directory Structure

[tree-like representation of key directories]

### Patterns Identified
- [Component patterns]
- [State management approach]
- [API structure]
- [File organization]

## Code Quality Metrics
- **TypeScript**: [strict/loose/none]
- **Linting**: [ESLint/Biome/none]
- **Testing**: [X test files found, coverage: Y%]
- **Code Issues**: [TODOs: X, Console logs: Y]

## Recommendations
1. [Priority recommendation]
2. [Next priority]
3. ...

## Risk Areas
- [Potential issues or technical debt]

## Next Steps
- [Suggested actions based on analysis]

Best Practices

  1. Progressive Detail: Start with high-level overview, dive deeper only when needed
  2. Context Window Management: For large codebases, analyze in chunks (by directory/feature)
  3. Tool Selection:

- Use Glob for file discovery (faster than find) - Use Grep for pattern search (faster than reading all files) - Use Read only for critical files (package.json, configs)

  1. Time Efficiency: Complete analysis in < 60 seconds for typical projects
  2. Actionable Insights: Always provide specific, actionable recommendations

Integration with Other Skills

This skill works well with:

  • quality-gates - Use analysis results to run appropriate quality checks
  • project-initialization - Compare against templates to identify missing setup
  • refactoring-safe - Identify refactoring opportunities
  • Framework-specific skills (nextjs-optimization, react-patterns) - Auto-invoke based on detected framework

Error Handling

If analysis cannot complete:

  1. Missing dependencies: Suggest running npm install
  2. Corrupted files: Report specific files and continue with partial analysis
  3. Large codebase: Switch to targeted analysis mode (specific directories only)
  4. Permission issues: Request necessary file access permissions

Version History

  • 1.0.0 (2025-01-03): Initial skill creation with progressive disclosure support

平台分布

Codex

34.54%
按下载量换算66

Claude

30.29%
按下载量换算58

Cursor

20.12%
按下载量换算38

Gemini CLI

9.48%
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

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。

继续浏览同类 Skills