# review-md

> review-md — agnojf-alson-annotation. Use this tool when you need to review and provide feedback on Markdown files in a collaborative environment. It solves problems related to document review and feedback collection by allowing inline annotations and structured feedback submission. The tool takes Markdown files as input and returns structured feedback through the review_markdown MCP tool.

Canonical page: https://skillsregistry.net/skills/agnojf-alson-annotation  
JSON: https://api.skillsregistry.net/v1/skills/agnojf-alson-annotation

## Description

Enables reviewing Markdown files in a browser with inline annotations, submitting or cancelling reviews, and returning structured feedback through the review_markdown MCP tool.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/btxb0eg14w)
- **Repository:** <https://github.com/agnojf/alson-annotation>

## 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": "agnojf-alson-annotation"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agnojf-alson-annotation` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agnojf-alson-annotation/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
