Setup Linting
Configure comprehensive code linting and quality analysis tools with automated enforcement
npx claude-code-templates@latest --command setup/setup-linting Scanned by NVIDIA SkillSpector
Automated static analysis (no LLM) · v2.12.0 · 2026-10-23
SkillSpector looks for patterns such as shell commands, credential access, network calls or unpinned dependencies. An observation is something worth reading in the files before you install, not a confirmed vulnerability. Components that run code locally, like hooks, MCP servers and security tooling, naturally show more of them.
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Content
Setup Code Linting
Configure comprehensive code linting and quality analysis: $ARGUMENTS
Current Code Quality State
- Languages detected: !
find . -name "*.js" -o -name "*.ts" -o -name "*.py" -o -name "*.rs" | head -5 - Existing linters: @.eslintrc.* or @pyproject.toml or @tslint.json
- Package manager: @package.json or @requirements.txt or @Cargo.toml
- Code quality tools: !
which eslint flake8 pylint mypy clippy 2>/dev/null | wc -l
Task
Setup comprehensive code linting system with quality analysis and automated enforcement:
Language Focus: Use $ARGUMENTS to configure JavaScript/TypeScript ESLint, Python linting, or multi-language quality analysis
Linting Configuration:
- Tool Installation - ESLint, Flake8, Pylint, MyPy, Clippy, language-specific linters and plugins
- Rule Configuration - Code style rules, error detection, best practices, security patterns, performance guidelines
- IDE Integration - Real-time linting, error highlighting, quick fixes, workspace settings
- Quality Gates - Pre-commit validation, CI/CD integration, pull request checks, quality metrics
- Custom Rules - Project-specific patterns, architectural constraints, team conventions
- Performance - Incremental linting, caching strategies, parallel execution, optimization
Advanced Features: Security linting, accessibility checks, performance analysis, dependency analysis, code complexity metrics.
Team Standards: Shared configurations, style guides, review guidelines, onboarding documentation.
Output: Complete linting system with automated quality gates, team standards enforcement, and comprehensive code analysis.