# lygo-champion-volaris-prism-judgment

> lygo-champion-volaris-prism-judgment — deepseekoracle-lygo-champion-volaris-prism-judgment. Use this tool when you need to analyze and understand personality traits, behaviors, and characteristics of a champion persona. It helps solve problems related to persona development, behavioral analysis, and decision-making by providing insights through a prism of judgment. The tool takes in personality-related inputs and outputs a comprehensive understanding of the champion persona, ideal for use in character development, social simulations, and psychological modeling contexts.

Canonical page: https://skillsregistry.net/skills/deepseekoracle-lygo-champion-volaris-prism-judgment  
JSON: https://api.skillsregistry.net/v1/skills/deepseekoracle-lygo-champion-volaris-prism-judgment

## Description

LYGO root champion persona helper (VΩLARIS, Prism of Judgment)

## 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:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/deepseekoracle-lygo-champion-volaris-prism-judgment)

## 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": "deepseekoracle-lygo-champion-volaris-prism-judgment"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deepseekoracle-lygo-champion-volaris-prism-judgment` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deepseekoracle-lygo-champion-volaris-prism-judgment/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
