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SKILL verified Apache-2.0 Self-run

Ping

skill-ivanmurzak-unity-mcp-ping · by IvanMurzak

Lightweight readiness probe. Returns the input `message` echoed back, or `'pong'` when omitted. Useful for CLI health checks and SignalR connectivity smoke tests.

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Install

$ agentstack add skill-ivanmurzak-unity-mcp-ping

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Ping

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

Inputs

  • message (optional) — when present, echoed back verbatim.

Behavior

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.

How to Call

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 - {"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

{
  "type": "object",
  "properties": {
    "message": {
      "type": "string"
    }
  }
}

Output

Output JSON Schema

{
  "type": "object",
  "properties": {
    "result": {
      "type": "string"
    }
  },
  "required": [
    "result"
  ]
}

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.