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anthony-chaudhary
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quality-score

Quantify Go repository technical debt with a multi-KPI scorecard.

30|12|Updated Jun 21, 2026
Search Tags:#code quality#automation#refactoring#go#technical debt#scorecard
One-click install
npx skills add https://github.com/anthony-chaudhary/fak --skill quality-score
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: quality-score
Source: https://github.com/anthony-chaudhary/fak/tree/main/.claude/skills/quality-score
Command: npx skills add https://github.com/anthony-chaudhary/fak --skill quality-score

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill addresses the lack of objective, falsifiable metrics in Go codebases, transforming vague goals like cleaner code into a repeatable, evidence-grounded improvement program.

Core Features & Use Cases

  • Deterministic Scorecard: Runs a multi-KPI analysis (build, vet, format, tests, etc.) to generate a concrete code-debt integer.
  • Evidence-Based Refactoring: Guides the user to retire debt worst-first using safe, genuine fixes that are verified by the Go toolchain and DOS commit-audits.
  • Use Case: Use this skill to baseline your project's technical debt and execute a code-2x program, halving debt in iterative, verifiable passes.

Quick Start

Run the quality-score skill to measure current code debt and generate a prioritized work-list for improvement.

Frequently Asked Questions about quality-score

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I measure technical debt in a Go repository?▼

To measure technical debt in a Go repository, run a deterministic multi-KPI scorecard that analyzes builds, vetting, formatting, and tests to generate a concrete code-debt integer.

What's the best way to prioritize refactoring tasks based on code quality scores?▼

Prioritize refactoring by using an evidence-based loop that retires technical debt worst-first, applying genuine fixes verified by the Go toolchain and diff-witnessed commit audits.

How does an evidence-based code quality scorecard work?▼

An evidence-based code quality scorecard works by running multi-KPI static analysis and automated build validation to quantify technical debt into an objective integer for iterative improvement.

Can I use automated static analysis to halve technical debt in Go projects?▼

Yes, you can halve technical debt in Go projects by executing an iterative refactoring program that uses automated build validation and static analysis to verify architectural hygiene improvements.

Does this code quality scorecard require specific dependencies to run static analysis?▼

No external dependencies are required; the code quality scorecard uses built-in scripts and the standard Go toolchain to perform vetting, formatting, and automated build validation.

Why should I use a deterministic scorecard instead of manual code reviews for technical debt?▼

A deterministic scorecard replaces subjective manual code reviews with falsifiable metrics and diff-witnessed commit auditing, ensuring verifiable architectural hygiene and high code integrity.

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