> For the complete documentation index, see [llms.txt](https://docs.sonarsource.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sonarsource.com/sonarqube-cloud/analyzing-source-code/languages/shell.md).

# Shell

The Shell analyzer for SonarQube Cloud is designed to perform static code analysis on Bash and POSIX Shell scripts.

## Language-specific properties

You can discover and update the Shell-specific properties in *Your project* > **Administration** > **General Settings** > **Languages** > **Shell.** See [Configuration overview](/sonarqube-cloud/analyzing-source-code/analysis-parameters/configuration-overview.md) for more information about setting properties.

## Supported languages and syntaxes

The analyzer is designed to analyze Bash and POSIX shell scripts, which are the only officially supported shell flavors.

However, analysis for other shell flavors (e.g. `ksh`, `zsh`) is also possible. This support is partial, and the analyzer will perform best on scripts that use syntax compatible with or similar to POSIX and Bash. You may encounter parsing errors when analyzing scripts that rely on features or syntaxes specific to other shells. This may lead to raising issues unrelated to your shell flavor.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.sonarsource.com/sonarqube-cloud/analyzing-source-code/languages/shell.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
