Metadata-Version: 2.1
Name: markdown-checker
Version: 0.0.8
Summary: A markdown validation reporting tool
Home-page: https://github.com/john0isaac/markdown-checker
Author: John Aziz
Author-email: johnaziz269@gmail.com
Maintainer: John Aziz
Maintainer-email: johnaziz269@gmail.com
License: MIT
Project-URL: Bug Tracker, https://github.com/john0isaac/markdown-checker/issues
Project-URL: Contributing, https://github.com/john0isaac/markdown-checker/pulls
Project-URL: Source Code, https://github.com/john0isaac/markdown-checker
Project-URL: Releases, https://github.com/john0isaac/markdown-checker/releases
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE

[![PyPi](https://img.shields.io/pypi/v/markdown-checker)](https://pypi.org/project/markdown-checker/)
[![Downloads](https://img.shields.io/pypi/dm/markdown-checker)](https://pypi.org/project/markdown-checker/)

[![GitHub issues](https://img.shields.io/badge/issue_tracking-github-blue.svg)](https://github.com/john0isaac/markdown-checker/issues)
[![Contributing](https://img.shields.io/badge/PR-Welcome-%23FF8300.svg?)](https://github.com/john0isaac/markdown-checker/pulls)

markdown-checker is a markdown validation reporting tool.

# How To

1. Run `pip install markdown-checker`.
2. Run `markdown-checker -d {src} -f {func} -gu {url}`. Replace `{src}` with the directory you want to analyze, {func} with the available functions like check_broken_paths, {gu} with your contribution guidance full URL.
3. The output will be displayed in the terminal and in a `comments.md` file.

# Using markdown-checker in GitHub Actions

The tool has been designed to be run within a GitHub workflow using the [action-check-markdown](https://github.com/marketplace/actions/check-markdown) GitHub action. The action will automatically post the output of the tool to your GitHub pull request as a comment.
