# Ping

> Lightweight readiness probe. Returns the input message or 'pong' if omitted.

- Skill: `idocohen560/ping` (Agent Skill)
- Install (CLI): `npx skillmds@latest add idocohen560/ping`
- Raw SKILL.md: https://api.skillmd.com/api/skills/idocohen560/ping/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: IdoCohen560 (https://skillmd.com/u/idocohen560)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/idocohen560/ping

---


# 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"
  ]
}
```