# Clone the repository
git clone https://github.com/docToolchain/asciidoc-linter.git
# Navigate to the project directory
cd asciidoc-linter
# Install the package
pip install .
Introduction
About the Project
AsciiDoc Linter is a Python-based tool designed to help maintain high-quality AsciiDoc documentation. It checks your AsciiDoc files for common issues and style violations, helping teams maintain consistent documentation standards.
As part of the docToolchain project (https://doctoolchain.org), it integrates well with existing documentation workflows.
Key Features
-
Heading structure validation
-
Proper hierarchy (no skipped levels)
-
Consistent formatting
-
Single top-level heading
-
-
Block validation
-
Proper block termination
-
Consistent spacing
-
-
Whitespace consistency
-
Line spacing
-
List formatting
-
Tab detection
-
-
Image validation
-
Attribute checking
-
File existence verification
-
-
Multiple output formats (console, JSON, HTML)
Project Goals
-
Improve documentation quality through automated checks
-
Enforce consistent styling across documentation
-
Reduce manual review effort
-
Catch common mistakes early in the documentation process
-
Support documentation as code practices
-
Integrate with existing documentation toolchains
Technical Overview
Component | Description |
---|---|
Language |
Python 3.8+ |
Testing |
unittest framework |
Documentation |
AsciiDoc |
Configuration |
YAML/JSON (planned) |
Getting Started
Prerequisites
-
Python 3.8 or higher
-
Git (for installation)
Installation
Note
|
Direct installation via pip is planned for future releases. Currently, installation is done via git clone. |
Basic Usage
# Check a single file
asciidoc-lint document.adoc
# Check multiple files
asciidoc-lint doc1.adoc doc2.adoc
# Get help
asciidoc-lint --help
Current Status
Implemented Features
-
Core linting engine
-
Basic rule set (headings, blocks, whitespace, images)
-
Command-line interface
-
Multiple output formats
Planned Features
-
Configuration system (YAML/JSON)
-
Additional rule sets (tables, links, cross-references)
-
Direct installation via pip
-
IDE integration
-
Git pre-commit hooks
Feedback
Was this page helpful?
Glad to hear it! Please tell us how we can improve.
Sorry to hear that. Please tell us how we can improve.