# LGTM

> Use this tool when you need to add a lighthearted touch to code reviews and developer communications. It fetches random LGTM images for easy embedding in discussions, enhancing team collaboration and morale. Ideal for use in git-based workflows, it takes no input and outputs a relevant image for use in digital conversations.

Canonical page: https://skillsregistry.net/skills/dongri-mcp-server-lgtm  
JSON: https://api.skillsregistry.net/v1/skills/dongri-mcp-server-lgtm

## Description

Fetch random LGTM (Looks Good To Me) images for use in code reviews and developer communications. Enhance your team's collaboration by easily embedding fun and relevant images in your discussions.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-08-24

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/dongri/mcp-server-lgtm)

## 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": "dongri-mcp-server-lgtm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dongri-mcp-server-lgtm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dongri-mcp-server-lgtm/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