Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install ivanmurzak-unity-mcp-unity-mcp-plugin-claude-skills-pinggit clone https://github.com/IvanMurzak/Unity-MCP.gitcp Unity-MCP/SKILL.MD ~/.claude/skills/ivanmurzak-unity-mcp-unity-mcp-plugin-claude-skills-ping/SKILL.md---
name: ping
description: Lightweight readiness probe. Returns the input message or 'pong' if omitted.
---
# Ping
## How to Call
```bash
unity-mcp-cli run-system-tool ping --input '{
"message": "string_value"
}'
```
> For complex input (multi-line strings, code), save the JSON to a file and use:
> ```bash
> unity-mcp-cli run-system-tool ping --input-file args.json
> ```
>
> Or pipe via stdin (recommended):
> ```bash
> unity-mcp-cli run-system-tool ping --input-file - <<'EOF'
> {"param": "value"}
> EOF
> ```
### Troubleshooting
If `unity-mcp-cli` is not found, either install it globally (`npm install -g unity-mcp-cli`) or use `npx unity-mcp-cli` instead.
Read the /unity-initial-setup skill for detailed installation instructions.
## Input
| Name | Type | Required | Description |
|------|------|----------|-------------|
| `message` | `string` | No | Optional message to echo back. |
### Input JSON Schema
```json
{
"type": "object",
"properties": {
"message": {
"type": "string"
}
}
}
```
## Output
### Output JSON Schema
```json
{
"type": "object",
"properties": {
"result": {
"type": "string"
}
},
"required": [
"result"
]
}
```