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codemappercodemapper 搜索

Agent Skill

codemapper 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。

总安装

576

周安装

24

GitHub Stars

公开资料未说明

下载量

192
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

MIT

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:codemapper(codemapper 搜索)
来源仓库:https://github.com/knoopx/pi
仓库路径:skills/codemapper
安装命令:
npx skills add knoopx/pi --skill "codemapper"
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。

AgentSkills.tonpx skills
npx skills add knoopx/pi --skill "codemapper"

简介

代码结构映射与分析工具,用于可视化项目依赖与模块关系。

  • 适合理解复杂代码库架构、识别耦合点及优化重构路径。
  • 输出格式化的映射文档,支持导出为图表或文本格式供团队共享。
  • 安装命令:npx skills add knoopx/pi --skill "codemapper";需评估是否读取私有代码或暴露内部结构细节。
  • 建议在非生产环境先行试用,防止误读关键业务逻辑。

SKILL.md

name
codemapper
description
Map codebase structure, query symbols, trace call paths, and analyze dependencies. Use when exploring unfamiliar code, finding function callers/callees, detecting circular imports, or generating project overviews.

Codemapper

Code analysis tool (cm) for exploring structure, symbols, dependencies, and call graphs. Supports Python, JavaScript, TypeScript, Go, Rust, Java, C, C++, C#, Ruby, PHP, YAML.

Contents

Usage

All commands support --format ai for concise, AI-friendly output.

Code Statistics

Get comprehensive statistics about a codebase:

# Current directory
cm stats . --format ai

# Specific directory
cm stats ./src --format ai

Output includes file counts, lines of code, and language distribution.

Code Map

Generate a hierarchical overview of the codebase structure:

# Basic overview (level 2 detail)
cm map . --level 2 --format ai

# Detailed structure
cm map . --level 3 --format ai

# Exports only (public API)
cm map . --level 2 --exports-only --format ai

# Specific directory
cm map ./src --level 2 --format ai

Detail levels:

  • Level 1: Files and directories only
  • Level 2: Files with exported symbols
  • Level 3: Files with all symbols and details

Query Symbols

Search for functions, classes, and symbols:

# Fuzzy search
cm query authenticate . --format ai

# Exact match
cm query User . --exact --format ai

# Show implementation bodies
cm query validate . --show-body --format ai

# Public symbols only
cm query process . --exports-only --format ai

Inspect File

Examine the structure and symbols within a specific file:

cm inspect ./src/auth.ts --format ai
cm inspect ./models/user.py --format ai

Shows imports, exports, functions, classes, and their relationships.

Find Callers (Reverse Dependencies)

Find all locations where a symbol is used:

# Who calls this function?
cm callers authenticate . --format ai

# Find class usages
cm callers UserService . --format ai

# Find method references
cm callers process_payment . --format ai

Find Callees (Forward Dependencies)

Find all symbols called by a specific function:

# What does this function call?
cm callees process_order . --format ai

# Analyze complex function
cm callees handle_request . --format ai

Trace Call Path

Find the call path between two symbols:

# How does main reach authenticate?
cm trace main authenticate . --format ai

# Debug data flow
cm trace handle_request save_database . --format ai

# Analyze call chains
cm trace process_order send_notification . --format ai

Analyze Dependencies

Examine import and dependency relationships:

# File imports
cm deps ./src/auth.py --format ai

# Reverse dependencies (who imports this?)
cm deps ./utils.js --direction used-by --format ai

# Limit depth
cm deps ./src/main.ts --depth 3 --format ai

# External packages
cm deps . --external --format ai

# Find circular dependencies
cm deps . --circular --format ai

Git Integration

Analyze changes and history:

# Symbol-level diff vs commit
cm diff main --format ai

# Breaking changes since release
cm since v1.0 --breaking --format ai

# Who last modified a symbol
cm blame authenticate ./auth.py --format ai

# Evolution of a symbol
cm history authenticate ./auth.py --format ai

Type Analysis

Understand data structures and implementations:

# Parameter and return types
cm types process_payment . --format ai

# Find interface implementations
cm implements Iterator . --format ai

# Field structure of data classes
cm schema Order . --format ai

Test Coverage

Find untested code:

# Find tests for a symbol
cm tests authenticate . --format ai

# Find uncovered symbols
cm untested . --format ai

# What production code does a test touch
cm test-deps ./tests/test_auth.py --format ai

Snapshots

Compare code over time:

# Save current state
cm snapshot --name before-refactor

# Compare with snapshot
cm compare before-refactor --format ai

Common Workflows

Explore Unfamiliar Codebase

# 1. Get overview statistics
cm stats . --format ai

# 2. Generate structure map
cm map . --level 2 --format ai

# 3. Find entry points
cm query main . --format ai

# 4. Trace from entry point
cm callees main . --format ai

Understand a Function

# 1. Find the function
cm query authenticate . --show-body --format ai

# 2. See who uses it
cm callers authenticate . --format ai

# 3. See what it calls
cm callees authenticate . --format ai

Safe Refactoring

# 1. Find all usages before changing
cm callers old_function . --format ai

# 2. Check dependencies
cm deps ./src/module.ts --format ai

# 3. Trace impact
cm trace old_function critical_operation . --format ai

Detect Architecture Issues

# Find circular dependencies
cm deps . --circular --format ai

# List external dependencies
cm deps . --external --format ai

# Check module coupling
cm deps ./src/core.ts --direction used-by --format ai

Review Public API

# List all exports
cm map . --level 2 --exports-only --format ai

# Query specific export
cm query MyPublicClass . --exact --exports-only --format ai

Output Formats

  • --format ai: Concise, structured output optimized for AI processing
  • --format json: Machine-readable JSON output
  • --format text: Human-readable text (default)

Tips

  • Use --format ai for all commands when working with AI assistants
  • Start with cm stats and cm map to understand project scope
  • Use cm callers before renaming or removing functions
  • Check cm deps --circular regularly to prevent dependency issues
  • Combine cm trace with debugging to understand complex flows

Related Skills

  • ast-grep: Use ast-grep for structural code search and automated refactoring.
  • knip: Detect unused exports and dependencies to complement code analysis.
  • jscpd: Find duplicate code patterns in the analyzed codebase.

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

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

31.01%
按下载量换算60

OpenCode

22.21%
按下载量换算43

Antigravity

18.79%
按下载量换算36

Claude Code

12.72%
按下载量换算24

windsurf

7.05%
按下载量换算14

Gemini CLI

3.34%
按下载量换算6

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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

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