Code smell detector
Skill a5c-ai/babysitter/library/specializations/code-migration-modernization/skills/code-smell-detector
Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration
npx -y skills add a5c-ai/babysitter --skill code-smell-detectorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Automated detection of code smells and anti-patterns to identify refactoring opportunities
SKILL.md
3.5 KB, as published. Nobody here has run it
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
static-code-analyzer: Broader quality analysisrefactoring-assistant: Smell remediationdead-code-eliminator: Unused code removal
Related Agents
code-transformation-executor: Executes refactoringstechnical-debt-auditor: Prioritizes debt remediation