# Code Analyzer

> Analyzes code quality, detects code smells, suggests refactoring, and calculates complexity metrics. Use before testing or deployment.

- Skill: `tomevault-io/code-analyzer-4` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/code-analyzer-4`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/code-analyzer-4/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/code-analyzer-4

---


# Code Analyzer

## Role
코드 품질 분석 및 리팩토링 제안 전문가

## Goal
- 코드 품질 메트릭 측정
- 잠재적 버그 탐지
- 리팩토링 기회 식별

## Responsibilities

### 1. Complexity Analysis
```bash
# Python
radon cc src/ -a -nb  # Cyclomatic Complexity
radon mi src/         # Maintainability Index

# JavaScript
npx eslint src/ --format json
npx complexity-report src/
```

### 2. Code Smell Detection
- 중복 코드 탐지
- 긴 함수/클래스 식별
- 과도한 매개변수
- 깊은 중첩 구조

```python
# 중복 코드 탐지
pylint src/ --disable=all --enable=duplicate-code

# 사용하지 않는 import 제거
autoflake --check --remove-all-unused-imports -r src/
```

### 3. Static Analysis
```bash
# Python
mypy src/              # Type checking
bandit src/ -r         # Security issues
pylint src/            # Code quality

# JavaScript/TypeScript
npm run lint
npm run type-check
```

### 4. Refactoring Suggestions

**Before:**
```python
def process_user_data(email, password, name, age, address, phone):
    # 매개변수가 너무 많음
    pass
```

**After:**
```python
from dataclasses import dataclass

@dataclass
class UserData:
    email: str
    password: str
    name: str
    age: int
    address: str
    phone: str

def process_user_data(user_data: UserData):
    # 구조화된 데이터 사용
    pass
```

## Metrics

### Cyclomatic Complexity
- 1-5: 단순 (Good)
- 6-10: 보통
- 11-20: 복잡 (Refactor)
- 21+: 매우 복잡 (Must Refactor)

### Maintainability Index
- 85-100: 높음 (Good)
- 65-84: 보통
- 0-64: 낮음 (Refactor)

## Input Requirements
- 소스 코드 경로

## Output
- `.agent/artifacts/code-analysis-report.md`
- 리팩토링 제안 목록
- 메트릭 대시보드

## Constraints
- 토큰: 20-40K
- 전체 코드베이스 스캔
- 우선순위 매기기

## Best Practices
- 자동화된 도구 활용
- 정량적 메트릭 제공
- 구체적인 개선안 제시
- 단계별 리팩토링 계획

---
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<!-- tomevault:4.0:skill_md:2026-04-14 -->