shellcheck-configuration
Static analysis tool for detecting shell script issues and enforcing code quality standards.
- Supports Bash, sh, dash, ksh, and other POSIX shells with over 100 different warnings and errors
- Configurable via
.shellcheckrcfiles, environment variables, and command-line flags to target specific shells and disable false positives - Integrates with CI/CD pipelines, pre-commit hooks, and editors; outputs in multiple formats including GCC, JSON, and quiet mode
- Common error categories cover parser issues, shell-specific problems, quoting violations, and POSIX compliance checks with practical fix examples
ShellCheck Configuration and Static Analysis
Comprehensive guidance for configuring and using ShellCheck to improve shell script quality, catch common pitfalls, and enforce best practices through static code analysis.
When to Use This Skill
- Setting up linting for shell scripts in CI/CD pipelines
- Analyzing existing shell scripts for issues
- Understanding ShellCheck error codes and warnings
- Configuring ShellCheck for specific project requirements
- Integrating ShellCheck into development workflows
- Suppressing false positives and configuring rule sets
- Enforcing consistent code quality standards
- Migrating scripts to meet quality gates
ShellCheck Fundamentals
What is ShellCheck?
More from wshobson/agents
tailwind-design-system
Build scalable design systems with Tailwind CSS v4, design tokens, component libraries, and responsive patterns. Use when creating component libraries, implementing design systems, or standardizing UI patterns.
41.0Ktypescript-advanced-types
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety in TypeScript projects.
40.4Knodejs-backend-patterns
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.
31.8Kpython-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
22.1Kapi-design-principles
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
20.3Kpython-testing-patterns
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
19.7K