Babysitter code-smell-detector
Automated detection of code smells and anti-patterns to identify refactoring opportunities
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/code-migration-modernization/skills/code-smell-detector" ~/.claude/skills/a5c-ai-babysitter-code-smell-detector && rm -rf "$T"
manifest:
library/specializations/code-migration-modernization/skills/code-smell-detector/SKILL.mdsource content
Code Smell Detector Skill
Automated detection of code smells, anti-patterns, and design issues that indicate deeper problems in the codebase. This skill identifies refactoring opportunities and prioritizes them by impact.
Purpose
Enable systematic detection of code smells for:
- Refactoring prioritization
- Technical debt identification
- Code quality improvement
- Migration preparation
- Design pattern violations
Capabilities
1. Long Method Detection
- Identify methods exceeding line thresholds
- Analyze parameter counts
- Detect high cyclomatic complexity
- Suggest extraction candidates
2. Large Class Identification
- Detect classes with too many responsibilities
- Identify god classes
- Analyze class cohesion
- Suggest decomposition strategies
3. Feature Envy Analysis
- Find methods using other classes' data excessively
- Identify misplaced functionality
- Suggest method relocation
- Map cross-class dependencies
4. Primitive Obsession Detection
- Identify overuse of primitives
- Find missing value objects
- Detect stringly-typed code
- Suggest domain type extraction
5. Parallel Inheritance Hierarchy
- Detect mirrored class hierarchies
- Identify inheritance coupling
- Suggest hierarchy consolidation
- Map inheritance relationships
6. Shotgun Surgery Detection
- Identify changes requiring multiple file edits
- Detect scattered functionality
- Map change propagation patterns
- Suggest consolidation points
7. God Class Identification
- Detect classes doing too much
- Analyze responsibility distribution
- Calculate lack of cohesion metrics
- Suggest single responsibility refactoring
Tool Integrations
| Tool | Purpose | Integration Method |
|---|---|---|
| SonarQube | Code smell detection | MCP Server / API |
| PMD | Java smell detection | CLI |
| IntelliJ IDEA | IDE-based analysis | CLI / Export |
| Designite | Design smell detection | CLI |
| ast-grep | Pattern-based detection | MCP Server / CLI |
| ESLint | JavaScript smell rules | CLI |
Output Schema
{ "analysisId": "string", "timestamp": "ISO8601", "target": { "path": "string", "filesAnalyzed": "number" }, "smells": [ { "type": "string", "severity": "high|medium|low", "file": "string", "line": "number", "element": "string", "description": "string", "metrics": {}, "refactoringSuggestion": "string", "estimatedEffort": "string" } ], "summary": { "totalSmells": "number", "byType": {}, "bySeverity": {}, "hotspots": [] } }
Integration with Migration Processes
- code-refactoring: Primary smell identification
- technical-debt-remediation: Debt quantification
- legacy-codebase-assessment: Quality assessment
Related Skills
: Broader quality analysisstatic-code-analyzer
: Smell remediationrefactoring-assistant
: Unused code removaldead-code-eliminator
Related Agents
: Executes refactoringscode-transformation-executor
: Prioritizes debt remediationtechnical-debt-auditor