# md-redline

> md-redline — dejuknow-md-redline. Use this tool when you need to streamline feedback on markdown specifications, as it provides inline review comments and integrates with a built-in MCP server to directly deliver feedback to AI agents, simplifying collaboration and version control through git. It solves problems of disjointed feedback and manual updates, allowing for seamless communication and iteration. Ideal for use cases where markdown specs require iterative refinement and precise feedback.

Canonical page: https://skillsregistry.net/skills/dejuknow-md-redline  
JSON: https://api.skillsregistry.net/v1/skills/dejuknow-md-redline

## Description

Inline review comments for markdown specs. Built-in MCP server hands feedback directly to your AI agent.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/dejuknow/md-redline)

## 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": "dejuknow-md-redline"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dejuknow-md-redline` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dejuknow-md-redline/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