{
  "runId": "f903083d-f1e0-4bac-a0eb-78ab1688871d",
  "mode": "parallel",
  "taskIndex": 1,
  "agent": "scout",
  "agentSource": "builtin",
  "task": "IMPORTANT: This is a real scenario. Choose which existing frontend skill or skills to load from this directory. Use any relevant skills in this directory that match the task. User request: \"Make this dashboard feel more alive with subtle hover states and a bit more personality, but don't go overboard.\" Return exactly three lines: Skills: ...\\nOrder: ...\\nWhy: ...",
  "cwd": "/home/alex/.pi/agent/skills/frontend",
  "requestedModel": "github-copilot/gpt-5-mini",
  "resolvedModel": "gpt-5-mini",
  "sessionPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/f903083d-f1e0-4bac-a0eb-78ab1688871d/child-session.jsonl",
  "startedAt": "2026-04-11T21:06:28.067Z",
  "finishedAt": "2026-04-11T21:07:15.838Z",
  "exitCode": 0,
  "stopReason": "stop",
  "rawStopReason": "stop",
  "finalText": "Skills: caveman, animate, delight, quieter\nOrder: caveman -> animate -> delight -> quieter\nWhy: caveman for concise output; animate adds subtle hover motion; delight injects gentle personality (microinteractions/colors); quieter ensures restraint so we don’t overdo it.",
  "usage": {
    "input": 679,
    "output": 1718,
    "cacheRead": 2816,
    "cacheWrite": 0,
    "totalTokens": 5213,
    "cost": {
      "input": 0,
      "output": 0,
      "cacheRead": 0,
      "cacheWrite": 0,
      "total": 0
    }
  },
  "stdoutPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/f903083d-f1e0-4bac-a0eb-78ab1688871d/stdout.log",
  "stderrPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/f903083d-f1e0-4bac-a0eb-78ab1688871d/stderr.log",
  "resultPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/f903083d-f1e0-4bac-a0eb-78ab1688871d/result.json",
  "eventsPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/f903083d-f1e0-4bac-a0eb-78ab1688871d/events.jsonl",
  "transcriptPath": "/home/alex/.pi/agent/skills/frontend/.pi/subagents/runs/f903083d-f1e0-4bac-a0eb-78ab1688871d/transcript.log"
}