Detect and remove AI-generated artifacts from codebases with structured JSON output.
npx skills add https://github.com/agent-sh/agentsys --skill deslop-agent-sh
Please help me install this Agent Skill. Skill: deslop Source: https://github.com/agent-sh/agentsys/tree/main/.kiro/skills/deslop Command: npx skills add https://github.com/agent-sh/agentsys --skill deslop-agent-sh
Clean AI slop from codebases by identifying and removing non-functional or distracting artifacts, such as stray debug statements and ghost code, to improve readability and maintainability.
Run the deslop skill to scan your repository for AI slop and optionally auto-fix issues.
High-intent search queries and answers about installing and using this skill.
To remove AI generated slop from a codebase, you can run a full-project scan or diff-based scope to identify stray debug statements, placeholder text, and dead code, then apply automated fixes or generate a structured report for review.
Detecting dead code and placeholder text before release is best handled by a deterministic, multi-phase static analysis pipeline that highlights non-functional artifacts and optionally integrates directly into CI workflows to reduce noise and risk.
Static analysis for code cleanup applies to software repositories across multiple programming languages, using a deterministic pipeline that relies on an external detection script and optional repository-map analysis to identify artifacts.
Integrating dead code detection into a CI pipeline is done by running the analysis to produce a structured JSON output, which is suitable for consumption by automated fixers and continuous integration systems to enforce repository hygiene.
A full-project scan examines the entire repository for AI slop and distracting artifacts, while a diff-based scope limits the static analysis to recent changes, allowing developers to target code cleanup precisely within their active workflows.
Automated fixes for repo hygiene should be avoided when you need strict manual oversight, though the pipeline can alternatively return structured reports highlighting debug statements and ghost code without directly modifying the source files.
NagasakaHMap codebase structure, dependencies, and risks into an investigation report.
maslennikov-igParse npm, pnpm, TypeScript, Jest, and build logs into structured JSON reports.
mkalhitti-cloudRemove commented code and debug statements from C# source files.
jordanhubbardIdentify and remove dead code, stale artifacts, and lint violations from repositories.
