What happens if a lint error cannot be fixed automatically?

If issues persist after five iterations, the skill provides a summary of remaining issues, explains why they failed, and suggests manual review or lint exceptions.

Does it create messy automated scripts to fix issues?

No, the skill is strictly constrained to fix issues directly within the source code using minimal changes and avoiding unnecessary comments or external scripts.

Can I use this for security-related linting?

Yes, it can specifically dispatch security-reviewer agents to handle security lints, ensuring that fixes prioritize safety and vulnerability mitigation.

How does it handle very large numbers of errors?

It uses an intelligent grouping strategy that scales based on issue count, organizing fixes by directory, error type, or component to be processed by parallel agents.

Which linting tools are supported?

The skill supports a wide range of standard tools including ESLint, npm/yarn/pnpm lint, golangci-lint, cargo clippy, ruff, and custom make commands.

Automated Codebase Linting

Name: Automated Codebase Linting
Author: LerianStudio

byLerianStudio

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보안 및 테스팅

Automates the identification and resolution of linting errors by dispatching parallel AI agents to clean your codebase.

소개

The Automated Codebase Linting skill streamlines software quality control by running comprehensive lint checks and automatically fixing identified issues. It intelligently groups errors into independent streams based on file or component, then dispatches specialized AI agents to perform direct source code edits. By iterating through a verification loop until the codebase is clean, it ensures adherence to engineering best practices and quality gates while preventing the sprawl of technical debt, all without requiring manual intervention from the developer.

주요 기능

Intelligent issue grouping by file, directory, or error type
Automatic detection of popular linting tools including ESLint, Go, Rust, and Python
Continuous verification loop with up to five iterations for total cleanliness
Parallel execution of AI agents for high-speed resolution
Strict minimal-change constraint to preserve original code intent
17 GitHub stars

사용 사례

Enforcing consistent style and quality standards across multi-module projects
Cleaning up legacy codebases with hundreds of accumulated lint warnings
Rapidly resolving style violations before major releases or PR submissions

소개

주요 기능

Intelligent issue grouping by file, directory, or error type
Automatic detection of popular linting tools including ESLint, Go, Rust, and Python
Continuous verification loop with up to five iterations for total cleanliness
Parallel execution of AI agents for high-speed resolution
Strict minimal-change constraint to preserve original code intent
17 GitHub stars

사용 사례

Enforcing consistent style and quality standards across multi-module projects
Cleaning up legacy codebases with hundreds of accumulated lint warnings
Rapidly resolving style violations before major releases or PR submissions