Code Quality Metrics Guide

Trust Score 86/100

Practical guide to quantitative code-quality metrics (cyclomatic, cognitive, Halstead, maintainability index) with thresholds, formulas and measurement commands

triggers:cyclomaticcognitive complexitymaintainability indexradonsonar-scannercode quality

GitHub SKILL.md

What it does

This skill explains quantitative code-quality metrics and how to measure them across languages. It covers cyclomatic complexity, cognitive complexity, Halstead measures, maintainability index, coupling and cohesion metrics, and practical thresholds for action. The guide includes formulas, example calculations, and commands for tools like ESLint, Radon and SonarQube.

When to use it

Use when assessing whether a codebase or specific functions meet maintainability and complexity thresholds, during code reviews, automated quality gates, or when planning refactors. It’s useful for developers, reviewers and agents asked to evaluate technical debt or to produce reports on complexity and maintainability.

What's included

Scripts: none bundled (has_scripts=false)
References: includes a references/ directory with measurement-tools and threshold guidance (has_references=true)
Instructions: formulas for CC and Halstead metrics, thresholds tables, example radon/eslint commands, and suggested remediation steps (refactoring, splitting classes, reducing nesting).

Compatible agents

Agents that can run static analysis tooling or suggest refactors (CI automation, code-review bots, Claude Code, Copilot) will benefit most. Agents that can call ESLint, radon or sonar-scanner will be able to produce measured reports.

Audit Summary

Reference-style skill providing a comprehensive guide to code quality metrics (cyclomatic complexity, cognitive complexity, Halstead, maintainability index, coupling, cohesion) with thresholds and measurement commands. No scripts to execute — purely informational. Well-structured content with clear tables and examples, though it lacks actionable automation beyond manual commands.

Watch Out

Purely informational — no automation or scripts
References files (measurement-tools.md, thresholds-by-language.md) are not bundled

Notes

No security concerns — static reference content with no network calls, credentials, or destructive commands. disable-model-invocation flag is set. References to external files that aren't included reduce practical completeness.

Information

Repository: dotfiles-claude
Stars: 10
Installs: 0

Trust Score

Overall86

Security98

Code Quality78

Architecture68

Usefulness62

Related Skills

GraphQL Inspector — Validate

Validate GraphQL operations against a schema with configurable depth, complexity, alias and directive limits to catch errors before runtime.

Evolve — Goal-Driven Improvement Loop

Autonomous improvement loop that selects high-value work, runs a full research-plan-implement (/rpi) cycle, validates changes, and repeats to compound repo impr

Code Spec Backfill

Identify missing function-level contracts and backfill docstrings and type annotations; report ambiguous gaps with misuse scenarios. Incremental, state-driven w

Cross-Project Analytics

Query local, privacy-safe cross-project analytics to report on agent, skill, hook, and team performance; replay sessions and estimate token costs.

Matrix Warnings

Manage file and package warnings (add, remove, list, check) for a Matrix workflow; parse user arguments and call the matrix_warn tool to enforce repository-leve

MetricFlow: Interactive Metric Definition

Interactively define MetricFlow metrics from natural-language business descriptions; proposes, validates, and dry-runs metric YAML for semantic modeling.

LLM Evaluation

Evaluation framework and tools for systematically measuring LLM performance using automated metrics, human judgment, and A/B testing.

OpenTelemetry Skill — Observability Engineering Assistant

Expert OpenTelemetry observability skill for designing collectors, pipelines, sampling, cardinality management, security, and production-ready deployment patter

Back to Skills