# lucius

> lucius — berkantay-lucius. Use this tool when you need to render interactive HTML content on a local canvas, enabling AI agents to engage with rich one-pagers through rendering, commenting, and selection tools. It solves problems related to dynamic content interaction, providing a flexible interface for inputting HTML and outputting rendered visuals with queryable status. Ideal for use cases requiring immersive and interactive content rendering, such as data visualization, document analysis, or web page simulation.

Canonical page: https://skillsregistry.net/skills/berkantay-lucius  
JSON: https://api.skillsregistry.net/v1/skills/berkantay-lucius

## Description

Enables AI agents to render and interact with rich HTML one-pagers on a local canvas, with tools for rendering, commenting, selection, and status queries.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/htmuab4d8n)
- **Repository:** <https://github.com/berkantay/lucius>

## 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": "berkantay-lucius"
    }
  }
}
```

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