Lightweight readiness probe. Returns the input `message` echoed back, or `'pong'` when omitted. Useful for CLI health checks and SignalR connectivity smoke tests.
59
67%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
High
Do not use without reviewing
Fix and improve this skill with Tessl
tessl review fix ./Unity-MCP-Plugin/.claude/skills/ping/SKILL.mdLightweight readiness probe. Returns the input message or 'pong' if omitted.
message (optional) — when present, echoed back verbatim.No I/O, no Unity API calls — pure echo. Ideal for measuring round-trip latency or confirming the MCP transport is alive before invoking a heavier tool.
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:
unity-mcp-cli run-system-tool ping --input-file args.jsonOr pipe via stdin (recommended):
unity-mcp-cli run-system-tool ping --input-file - <<'EOF' {"param": "value"} EOF
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.
| Name | Type | Required | Description |
|---|---|---|---|
message | string | No | Optional message to echo back. |
{
"type": "object",
"properties": {
"message": {
"type": "string"
}
}
}{
"type": "object",
"properties": {
"result": {
"type": "string"
}
},
"required": [
"result"
]
}e0a24ef
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.