py-security
π―Skillfrom l-mb/python-refactoring-skills
|Identifies and refactors security vulnerabilities in Python code, focusing on input validation, authentication, and common attack prevention techniques.
Same repository
l-mb/python-refactoring-skills(8 items)
Installation
npx vibeindex add l-mb/python-refactoring-skills --skill py-securitynpx skills add l-mb/python-refactoring-skills --skill py-security~/.claude/skills/py-security/SKILL.mdMore from this repository7
A collection of 8 modular skills for systematic Python code refactoring that leverage deterministic tools like linters, dead code detectors, and type checkers to reduce generated code slop and improve quality automatically.
A collection of 8 focused Claude Code skills for systematic Python code refactoring and quality improvement, using deterministic tools like linters, dead code detection, deduplication, and type checkers to automatically reduce generated code issues and improve compactness.
A set of 8 modular Claude Code skills for systematic Python refactoring and quality improvement, including security scanning, complexity reduction, dead code removal, test quality, modernization, and automated pre-commit hooks using deterministic tools like bandit, radon, and ruff.
A collection of 8 modular Claude Code skills for systematic Python code refactoring and quality improvement. Uses deterministic tools like linters, type checkers, and dead code detectors to reduce AI-generated code issues automatically.
A collection of 8 modular Claude Code skills for systematic Python code refactoring and quality improvement, using deterministic tools like linters, dead code detection, and type checkers to reduce generated code complexity and catch issues automatically.
A collection of 8 Claude Code skills for systematic Python code refactoring and quality improvement, using deterministic tools like linters, dead code detection, and type checkers to catch issues automatically rather than relying on probabilistic generation.
A collection of 8 focused Claude Code skills for systematic Python code refactoring and quality improvement, using deterministic tools like linters, type checkers, and dead code detection to reduce generated slop automatically.