Score code quality with weighted rubrics and standardized deductions.
npx skills add https://github.com/gil00pita/lanify --skill code-scoring-gil00pita
Please help me install this Agent Skill. Skill: code-scoring Source: https://github.com/gil00pita/lanify/tree/main/.agents/skills/code-scoring Command: npx skills add https://github.com/gil00pita/lanify --skill code-scoring-gil00pita
Provide quantitative rubrics for scoring code quality.
Score a sample module using the code-scoring rubric to produce a final score.
High-intent search queries and answers about installing and using this skill.
You can quantify code quality during a code review by applying a weighted category system with defined severity levels and standardized deductions to produce an objective final score.
A code scoring rubric is a quantitative framework that evaluates code quality using weighted categories and defined scoring rules. It works by applying standardized deductions to generate objective feedback across multiple languages.
Yes, you can use code quality metrics for cross-project benchmarking. The rubric applies standardized scoring rules and deductions to establish baseline comparisons across multiple projects and languages.
To apply objective deductions during a code quality audit, you use a reference catalog of guidelines that justifies specific severity levels and scoring rules against the evaluated code.
The best way to standardize feedback across different programming languages is to use a quantitative rubric with weighted categories and defined severity deductions, ensuring consistent objective assessments regardless of language.
No, code scoring requires a weighted category system to function. It relies on defined severity levels and standardized deductions to calculate final scores and generate objective feedback.
atholaEvaluate artifacts using weighted criteria and threshold-based decision rules.
wtthorntonScore Python code across complexity, security, maintainability, test coverage, and performance.
poteto-goScore Go code reviews by applying fixed deductions to a base score of 100.
LuisSambranoEvaluate LLM applications using automated metrics and human feedback.
