Shellcheck Configuration

Master ShellCheck static analysis configuration and usage for shell script quality. Use when setting up linting infrastructure, fixing code issues, or ensuring script portability.

Published by @Ryan Snodgrass·0 agent reads / 30d·0 saves·

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

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Best Practices

  1. Run ShellCheck in CI/CD - Catch issues before merging
  2. Configure for your target shell - Don't analyze bash as sh
  3. Document exclusions - Explain why violations are suppressed
  4. Address violations - Don't just disable warnings
  5. Enable strict mode - Use --enable=all with careful exclusions
  6. Update regularly - Keep ShellCheck current for new checks
  7. Use pre-commit hooks - Catch issues locally before pushing
  8. Integrate with editors - Get real-time feedback during development

Bundled with this artifact

2 files

Reference files that ship alongside this artifact. Agents pull these in only when the task needs them.

More on the bench

SKILL0

Vercel Deployment

Best practices for Vercel deployments including serverless functions, Edge Runtime, middleware, caching, environment variables, and CI/CD configuration

software-engineering+1
0
SKILL0

Tensorflow And Deep Learning Rules

TensorFlow and deep learning rules for building, training, evaluating, and deploying neural network models

data-science-ml+1
0
SKILL0

Tanstack Start

TanStack Start full-stack React framework using server functions, API routes, SSR, streaming with defer(), and multi-platform deployment via Vinxi/Nitro

software-engineering+1
0