Validate Python code compliance with SSOT, DRY, naming and structure principles.
npx skills add https://github.com/oogDZ/2 --skill principles-validate
Please help me install this Agent Skill. Skill: principles-validate Source: https://github.com/oogDZ/2/tree/main/.claude/skills/principles-validate Command: npx skills add https://github.com/oogDZ/2 --skill principles-validate
Checks Python code for compliance with project principles such as SSOT, DRY, naming, and structure to improve consistency and maintainability.
Run the validator on a Python file or directory to enforce project principles.
High-intent search queries and answers about installing and using this skill.
To validate Python code for SSOT and DRY violations, run an automated validator script against your file or directory to check project principles and generate a structured compliance report for code reviews.
Enforcing naming and structural guidelines during a Python code review involves using an automated validation tool that checks repository-wide consistency against defined SSOT documentation and produces a structured violation report.
Yes, you can check your Python repository for DRY principle conformance after refactoring by running a validation script that scans the updated codebase to ensure adherence to SSOT, DRY, naming, and structural rules.
An automated code quality validator handles SSOT guideline checks by applying a defined SSOT documentation reference to scan Python files, identifying deviations, and producing a structured report to guide developers in resolving violations.
Yes, you need a defined SSOT guideline document because the Python code validator relies on these explicit project principles to perform automated checks, ensure repository-wide consistency, and provide guided workflow instructions to resolve violations.
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