# mo-test-1

> mo-test-1 — moyu0032-mo-test-1. Use this tool when you need to generate unique algorithmic art pieces with controlled randomness, exploring interactive parameters to create diverse visual outputs. It solves problems of artistic stagnation and limited creativity by introducing seeded randomness and user-controlled variables. Ideal for artists, designers, and researchers seeking to produce innovative, data-driven art with p5.js.

Canonical page: https://skillsregistry.net/skills/moyu0032-mo-test-1  
JSON: https://api.skillsregistry.net/v1/skills/moyu0032-mo-test-1

## Description

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/moyu0032-mo-test-1)

## 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": "moyu0032-mo-test-1"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/moyu0032-mo-test-1` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/moyu0032-mo-test-1/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