# md-feedback

> Use this tool when you need to review and refine markdown plans before AI agents execute them, to ensure accuracy and consistency. It solves problems such as errors in plan execution, incomplete information, and handoff issues by providing annotation, gate-checking, and fix application capabilities. This tool accepts markdown plans as input and outputs refined and corrected plans, making it ideal for use cases where precise plan execution is crucial.

Canonical page: https://skillsregistry.net/skills/io-github-yeominux-md-feedback  
JSON: https://api.skillsregistry.net/v1/skills/io-github-yeominux-md-feedback

## Description

Review markdown plans before AI agents build. Annotate, gate-check, apply fixes, session handoffs.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.5.6
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-17

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.yeominux%2Fmd-feedback)
- **Repository:** <https://github.com/yeominux/md-feedback>

## 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": "io-github-yeominux-md-feedback"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-yeominux-md-feedback` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-yeominux-md-feedback/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