refactoring-suggester
Refactoring Suggester
Purpose and Intent
The refactoring-suggester teaches students and engineers how to evolve code. It doesn't just point out problems; it provides a recipe for how to fix them correctly.
When to Use
- Code Cleanup: Use when a codebase has become difficult to manage or "messy."
- Learning Exercises: Show students how to transform their working code into "clean" code.
When NOT to Use
- Performance Optimization: This tool focuses on maintainability, not necessarily on squeeze-every-cycle performance.
Security and Data-Handling Considerations
- Operates locally on provided source code.
More from jorgealves/agent_skills
python-security-scanner
Detect common Python vulnerabilities such as SQL injection, unsafe deserialization, and hardcoded secrets. Use as part of a secure SDLC for Python projects.
175prompt-injection-scanner
Audits agent skill instructions and system prompts for vulnerabilities to prompt hijacking and indirect injection. Use when designing new agent skills or before deploying agents to public environments where users provide untrusted input.
140gdpr-ccpa-privacy-auditor
Audits web applications to ensure declared privacy policies match actual technical data collection practices. Use to identify discrepancies in cookie usage, tracking scripts, and user data handling.
137pii-sanitizer
Detects and redacts Personally Identifiable Information (PII) like emails, phone numbers, and credit cards. Use when cleaning logs, datasets, or communications to comply with GDPR/CCPA privacy standards.
119hipaa-compliance-guard
Audits HealthTech applications for HIPAA technical safeguards like encryption and audit logging. Use when reviewing healthcare infrastructure or ensuring PHI is handled according to legal security standards.
119python-data-pipeline-designer
Design ETL workflows with data validation using tools like Pandas, Dask, or PySpark. Use when building robust data processing systems in Python.
116