Evaluate a codebase and generate a calibrated multi-dimensional scorecard.
npx skills add https://github.com/nklisch/skills --skill repo-eval-nklisch
Please help me install this Agent Skill. Skill: repo-eval Source: https://github.com/nklisch/skills/tree/main/plugins/workflow/skills/repo-eval Command: npx skills add https://github.com/nklisch/skills --skill repo-eval-nklisch
It provides a comprehensive, evidence‑backed evaluation of an entire codebase, delivering a calibrated scorecard across architecture, quality, testing, documentation, CI/CD, security, developer experience, and maintainability.
Run the repo-eval skill on your project to receive a detailed evaluation report.
High-intent search queries and answers about installing and using this skill.
To evaluate a codebase for architecture and code quality, apply an automated scorecard skill to your software repository. This process assesses multiple dimensions including testing, documentation, and maintainability to produce evidence-backed findings and prioritized recommendations.
A codebase scorecard is a calibrated evaluation report that grades a software repository across dimensions like security, CI/CD, and developer experience. It works by leveraging parallel exploration agents and verification checks to cross-validate findings with direct repository analysis.
Yes, code repository evaluation is ideal for security audits and onboarding new teams. By assessing security, developer experience, and architecture, it generates actionable recommendations prioritized by impact for developers and software architects.
You get actionable recommendations for improving code maintainability by running a full repository evaluation. This generates a weighted overall score and prioritized recommendations based on evidence-backed findings from direct repository analysis.
Automated code evaluation can be applied to any software repository to assess architecture, code quality, testing, and CI/CD. It requires no specific dependencies to run, making it suitable for continuous quality monitoring across diverse project environments.
remiverdiesenClone Ark's repository and inspect its architecture, CRDs, and controllers.
apacheImports security findings from a Markdown file into tracker issues using Python and Git.
Dorpeer95Identify and quantify code quality risks using truth scores and automated verification checks.
Gabson0xOrchestrate eight parallel security agents to audit targets and compile reports.
