Code Metrics

核心功能包括：统计各语言代码/注释行数、注释比、函数类数量；分析Python函数圈复杂度并分级告警；识别行数最多的大文件。典型场景：代码质量评估、行数统计、项目概览、代码审计。支持指定目录分析，可输出JSON格式，支持跳过复杂度分析、排除指定目录。依赖Python3.8+，无需额外第三方包。

johnnywang2001

热度 43.99

最近更新 2026-05-11 17:35:58

分类：开发依赖：代码执行 / 读写文件应用场景：代码审查 / 数据处理 / 报告撰写

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add code-metrics

Metadata

name: code-metrics
description: Analyze code quality metrics including lines of code by language, cyclomatic complexity (Python), function/class counts, comment ratios, and largest file rankings. Use when asked to analyze code quality, count lines of code, measure complexity, find the biggest files, get a project overview, or audit code metrics across a codebase. Supports Python, JavaScript, TypeScript, Go, Rust, Ruby, Java, C/C++, C#, Swift, Kotlin, PHP, Shell, Lua, R, and Scala.

Code Metrics

Analyze code quality and complexity metrics across your project. Supports 17+ languages.

Quick Start

# Analyze current project
python3 scripts/code_metrics.py

# Analyze specific directory
python3 scripts/code_metrics.py /path/to/project

# JSON output
python3 scripts/code_metrics.py --json

# Skip complexity analysis (faster)
python3 scripts/code_metrics.py --no-complexity

# Exclude additional directories
python3 scripts/code_metrics.py --exclude migrations fixtures

Metrics Provided

Lines of Code — total, code, comments, blank lines per language
Comment-to-code ratio — overall documentation density
Function & class counts — per language
Cyclomatic complexity — per-function for Python files (AST-based)
Largest files — top N files ranked by code lines
High complexity warnings — flags functions with complexity ≥5

Complexity Scale (Python)

Range	Risk	Meaning
1-4	🟢 Low	Simple, well-structured
5-9	🟢 Moderate	Acceptable
10-14	🟡 High	Consider refactoring
15+	🔴 Very High	Refactor strongly recommended

Dependencies

Python 3.8+ (stdlib only, no pip packages needed)