# BeauticsLab

> Use this tool when you need to search and analyze Korean cosmetics across multiple online platforms, including Olive Young, Daiso, Naver, Coupang, and 11st. It solves problems of product discovery and ingredient safety by providing EWG analysis for each product, and accepts search queries as input, returning detailed product information as output. Ideal for use cases requiring comprehensive cosmetics data and safety insights, accessible through a free remote endpoint.

Canonical page: https://skillsregistry.net/skills/beauticslab  
JSON: https://api.skillsregistry.net/v1/skills/beauticslab

## Description

BeauticsLab enables AI agents to search Korean cosmetics across Olive Young, Daiso, Naver, Coupang, and 11st. Results include EWG ingredient safety analysis for each product. Accessible through a free remote endpoint.

## Trust

- **Trust score (0–1):** 0.61
- **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/beauticslab)
- **Repository:** <https://github.com/websfactory/beauticslab-mcp>

## 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": "beauticslab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/beauticslab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/beauticslab/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