code-hygiene

Analyze codebases for dead code, test gaps, duplication, drift, and security issues.

Updated Feb 15, 2026
One-click install
npx skills add https://github.com/malakhov-dmitrii/local-marketplace --skill code-hygiene-malakhov-dmitrii
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-hygiene
Source: https://github.com/malakhov-dmitrii/local-marketplace/tree/main/plugins/beast/skills/code-hygiene
Command: npx skills add https://github.com/malakhov-dmitrii/local-marketplace --skill code-hygiene-malakhov-dmitrii

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Persistent codebase health analysis that detects dead code, test quality gaps, duplicates, high complexity, security issues, and architecture drift, while organizing findings for easy remediation.

Core Features & Use Cases

  • Dead-code detection and actionable cleanup planning
  • Test quality assessment with coverage and reliability signals
  • Complexity and architecture mapping with hotspots
  • Security findings aggregation and remediation guidance
  • Forge-ready outputs to convert findings into tasks

Quick Start

Run the code-hygiene skill on a repository to perform a full health scan and generate the initial hygiene report.

Frequently Asked Questions about code-hygiene

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

FAQPage Schema
How do I detect dead code and architecture drift in a large codebase?

Dead code and architecture drift are detected by running a full codebase scan that identifies unused components, complexity hotspots, and structural deviations across JS/TS, Python, Go, and Rust projects.

Can I automate test quality gap analysis and security findings aggregation?

Test quality gap analysis and security findings aggregation are automated by executing a deterministic scan pipeline that evaluates coverage signals and vulnerabilities, outputting structured JSON and Markdown artifacts.

Does code hygiene analysis work with Python, Go, Rust, and JS/TS projects?

Code hygiene analysis works across JS/TS, Python, Go, and Rust projects of varying sizes, requiring specific scanning tools to be available in the environment to execute the deterministic pipeline.

How do I convert static analysis findings into actionable remediation tasks?

Static analysis findings are converted into actionable remediation tasks through a structured integration phase that formats scan results into forge-ready outputs for direct task creation.

What is the best way to map code complexity hotspots and duplication?

Mapping code complexity hotspots and duplication is best achieved by running an automated hygiene scan that analyzes the codebase structure and generates a structured health dashboard report.

Why does the codebase scan require specific tools to be available?

The codebase scan requires specific tools to be available because it enforces a deterministic SCAN, REPORT, INTEGRATE, and SAVE pipeline that relies on external analyzers to produce accurate health metrics.