A technical validation skill for auditing Markdown files to ensure link consistency and structural syntax compliance.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install markdown-linter
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install markdown-linter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Markdown Linter is a lightweight utility designed to maintain the integrity of documentation workspaces. It specializes in detecting broken internal file links, verifying header hierarchies, and ensuring that code blocks are properly tagged. When building or maintaining Openclaw Skills, this tool acts as a quality assurance layer that prevents broken references in critical files like MEMORY.md or SKILL.md, ensuring that both human readers and AI agents can navigate the project successfully.
This skill is particularly valuable for large-scale projects where documentation is updated frequently. By automating the verification process, it eliminates the manual overhead of clicking through links to verify they point to existing assets, thus streamlining the development lifecycle.
To use the Markdown Linter, ensure you have the source files in your workspace and execute it via Node.js:
# Navigate to your workspace directory
cd your-project-folder
# Run the linter using a script or direct Node execution
node -e "const linter = require('./index'); linter.scan('.').then(results => console.log(JSON.stringify(results, null, 2)))"
The skill provides output in a structured JSON format to allow for easy integration with other tools:
| Property | Description |
|---|---|
| totalFiles | The count of Markdown files analyzed during the scan. |
| brokenLinks | An array of objects containing the file path, line number, and the invalid link. |
| syntaxErrors | An array of identified structural issues, such as invalid header levels. |
Loading
A specialized Node.js utility designed to automatically repair and normalize malformed or loose JSON syntax into valid standards.

A specialized utility for applying RFC 6902 compliant JSON patches to files safely without rewriting the entire document.

A lightweight utility for recursively scanning workspaces to identify and report syntax errors in JSON files.

A specialized tool for wrapping Humanity's Last Exam (HLE) questions in a structured Chain-of-Thought reasoning framework.

A high-performance CLI tool designed to identify broken internal links and maintain documentation integrity within Markdown files.

Automates the creation of signup leads in the AgenticCreed system via a secure public HTTP endpoint.








































