Configure ShellCheck for Code Quality
Configure ShellCheck linting, interpret shell diagnostics, and integrate checks into editors, pre-commit hooks, and CI.
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Why it matters
Enhance your shell script quality by leveraging ShellCheck for comprehensive static code analysis. This asset provides guidance on configuration, integration into CI/CD pipelines, and understanding common error codes to enforce best practices and catch pitfalls.
Outcomes
What it gets done
Set up ShellCheck linting in CI/CD pipelines.
Analyze existing shell scripts for potential issues.
Configure ShellCheck rules and suppress false positives.
Integrate ShellCheck into development workflows and pre-commit hooks.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-shellcheck-configuration | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
Reports
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Overview
This skill explains ShellCheck configuration, diagnostics, and workflow integration. It includes rule selection, narrow suppressions, output formats, CI examples, and caveats for staged files and cached results. Use it when linting shell scripts, migrating scripts to quality gates, or interpreting warnings. Match the target shell and verify options with the installed ShellCheck help.
What it does
ShellCheck Configuration and Static Analysis guides the use of ShellCheck to identify problematic shell patterns and maintain consistent script quality. It covers Bash, sh, dash, ksh, and POSIX-oriented analysis, with configuration for the intended dialect, optional checks, and exclusions. The workflow includes project configuration, diagnosis, developer feedback, and CI enforcement.
A project-level .shellcheckrc can select the shell and enable or disable checks. Explicit command options offer another way to configure the dialect and rules. Consult the installed help and official diagnostic pages rather than relying on invented environment variables or treating numeric diagnostic ranges as categories.
When to use - and when NOT to
Use it to add shell linting to CI/CD, analyze existing scripts, understand warnings, configure a project-specific rule set, or migrate scripts toward a quality gate. Editor feedback and pre-commit checks help identify issues during development rather than waiting until merge time.
Do not analyze Bash code as sh unless portability to sh is the actual target. Suppressions need a narrow scope and recorded justification; addressing a real issue is preferable to disabling its warning. Missing task constraints or inputs need clarification, and static analysis still requires validation against the intended script behavior.
Inputs and outputs
Inputs include scripts, target dialect, rc files, sourced files, enabled checks, and any justified exclusions. Output can use the default human-readable format, GCC-style locations for CI, JSON for parsing, or quiet output with a nonzero result when issues are found. A parsing-oriented command is:
shellcheck --format=json script.sh
Diagnostic guidance distinguishes quoting and semantics. SC2086 concerns splitting and globbing; quoting a Bash array expansion differs from quoting a scalar list. SC2206 requires deliberate array construction or a suitable read operation. SC2181 favors checking the command directly, SC2015 warns that an and/or chain can run its fallback after the middle command fails, and SC3010 identifies syntax unavailable in POSIX sh. Other examples address single-quote expansion and process searching.
Multi-file checks can run sequentially or in parallel. Cached results must be bound to the ShellCheck version, options, dialect, rc files, sourced contents, and main script; a main-file hash alone is insufficient. Pre-commit checks must inspect staged bytes, including partially staged files. Use NUL-delimited paths and exclude deleted files.
Integrations
Installation examples include Homebrew, Debian-style packages, and building from source. Git hooks, GitHub Actions, and GitLab CI demonstrate automated checks, including failing a pipeline on findings. Editor integration provides immediate feedback. External-source settings help analyze sourced context where appropriate, while documented exclusions keep the chosen rule policy understandable.
Source README
ShellCheck is a static analysis tool that analyzes shell scripts and detects problematic patterns. It supports:
- Bash, sh, dash, ksh, and other POSIX shells
- Over 100 different warnings and errors
- Configuration for target shell and flags
- Integration with editors and CI/CD systems
FAQ
Common questions
Discussion
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