# Katana Markdown Linter

> Use this tool when you need to enforce Markdown style consistency in documentation workflows, as it provides a configurable linting engine with 53 rules to validate and standardize Markdown content. It accepts Markdown files as input and outputs linting reports, allowing for seamless integration into various development environments. Ideal for use in projects requiring strict documentation formatting and style adherence.

Canonical page: https://skillsregistry.net/skills/hiroyukifuruno-katana-markdown-linter  
JSON: https://api.skillsregistry.net/v1/skills/hiroyukifuruno-katana-markdown-linter

## Description

Provides a Rust-based Markdown linting engine with 53 configurable rules accessible via MCP. Distributed across Cargo, npm, PyPI, and Homebrew, enabling AI agents to validate and enforce Markdown style consistency in documentation workflows.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/hiroyukifuruno-katana-markdown-linter)
- **Repository:** <https://github.com/hiroyukifuruno/katana-markdown-linter>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "hiroyukifuruno-katana-markdown-linter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hiroyukifuruno-katana-markdown-linter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hiroyukifuruno-katana-markdown-linter/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
