Detect code smells and technical debt in .NET applications using the Slopwatch CLI.
npx skills add https://github.com/AGIBuild/Agibuild.Fulora --skill slopwatch
Please help me install this Agent Skill. Skill: slopwatch Source: https://github.com/AGIBuild/Agibuild.Fulora/tree/main/.cursor/skills/slopwatch Command: npx skills add https://github.com/AGIBuild/Agibuild.Fulora --skill slopwatch
This Skill identifies and helps manage "slop" – shortcuts taken by LLMs that compromise code quality and maintainability, such as disabled tests, suppressed warnings, and empty catch blocks.
Run slopwatch analyze to detect code smells in the current directory.
High-intent search queries and answers about installing and using this skill.
To detect LLM-generated code smells in .NET applications, you can run the slopwatch analyze command to scan C# source files, project files, and test files for common shortcuts like disabled tests, suppressed warnings, and empty catch blocks.
Yes, you can integrate code smell detection into your CI/CD pipeline. Slopwatch seamlessly integrates into GitHub Actions and Azure Pipelines to act as an automated quality gate after LLM-generated code modifications.
To manage legacy technical debt versus new code smells in C#, you can establish a baseline using Slopwatch. This baseline differentiates pre-existing issues from newly introduced slop, ensuring you only flag recent LLM shortcuts.
Shortcuts LLMs introduce that compromise .NET code quality include disabled tests, suppressed warnings, and empty catch blocks. These shortcuts reduce code maintainability and integrity, requiring dedicated detection to manage.
Yes, you need the Slopwatch CLI tool installed and configured to analyze .NET code smells. This CLI tool handles the analysis and baseline management required to detect LLM-generated shortcuts in your codebase.
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