{
  "ts": "2026-07-25T05:22:13",
  "role": "grok-supervisor",
  "tests": {
    "ports_8080": {
      "pass": true,
      "detail": "8080 up",
      "score": null
    },
    "ports_8081": {
      "pass": true,
      "detail": "8081 up",
      "score": null
    },
    "maker_pipeline_json": {
      "pass": true,
      "detail": {
        "sec": 7.71,
        "preview": "```json\n{\n  \"steps\": [\n    \"FETCH：每日從 RSS/論文/社群抓取3-5則高價值AI知識\",\n    \"RANK：用主題相關性+新鮮度+影響力評分篩選Top3\",\n    \"DRAFT：用Markdown寫成500字內知識卡片，附原始連結\",\n    \"VERIFY：交叉比對2個來源，標註不確定性與爭議點\",\n    \"TEACH：用「概念→例子→反例→應用」結構重寫成教學版\",\n    \"BUILD：匯入Obsidian/Notion建立知識圖譜，標記關聯\",\n    \"DEPLOY：發布至個人網站/社群，收集反饋迭代\"\n  ],\n  \"oom_guards\": [\n    \"每日知識上限5則，避免資訊過載\",\n    \"卡片字數上限500字，強制精煉\",\n    \"每週回顧一次，刪除重複或過時內容\"\n  ],\n  \"tools\": [\n    \"RSS ",
        "keys": [
          "steps",
          "oom_guards",
          "tools",
          "artifact_paths"
        ]
      },
      "score": 9
    },
    "checker_rank_precision": {
      "pass": true,
      "detail": {
        "sec": 7.91,
        "score": 8,
        "leak": true,
        "preview": "<|channel>thought\n## TOP3\n1. OpenForgeRL harness-native agents | 讓 Agent 在原生訓練中學會如何「使用工具」 | P0\n2. Agentic Context Management | 讓 Agent 知道哪些資訊該留、哪些該忘 | P0\n3. Windowed-MTP million token | 讓長文本推理更省力且不亂掉 | P1\n\n## DROP\n- SalesLoop CRM ranking | 這是應用層的排名，與 Agent 核心能力無關\n- SANA-Video 2.0 | 純粹是影片生成的技術，非 Agent 專屬\n\n## 今日一課\nAgent 的強在於「會用工具」與「會管上下文」。"
      },
      "score": 8
    },
    "compress_text": {
      "pass": true,
      "detail": {
        "sec": 7.34,
        "len": 125,
        "preview": "<|channel>thought\n- 識別 Agent 上下文管理的失效模式\n- 利用 Harness 原生 RL 訓練信號\n- 透過 Tool calls 執行操作\n- 強化上下文文的處理能力\n- 優化訓練的策略與決策\n- 建立工具調用的執行機制"
      },
      "score": null
    },
    "oom_awareness": {
      "pass": false,
      "detail": {
        "hits": 1,
        "preview": "<|channel>thought\n79 篇論文塞進 12B ctx 就像把 79 個房間塞進一個超大套房：每個房間都完整，且彼此互不干擾。\n\n**4 條防 OOM/壓縮規則：**\n1. **長度硬上限**：單篇超過 2k 字就強制切分。\n2. **重疊滑動窗**：每篇與下一篇重疊 10% 的內容。\n3. **固定窗口寬度**：每窗寬度不超過 512 token。\n4. **最大窗口數**：單篇最多拆成 4 個窗口。"
      },
      "score": 3
    },
    "artifact_rank": {
      "pass": true,
      "detail": "size=2691",
      "score": null
    },
    "artifact_raw": {
      "pass": true,
      "detail": "size=72700",
      "score": null
    },
    "artifact_site": {
      "pass": true,
      "detail": "size=49712",
      "score": null
    },
    "artifact_status_ok": {
      "pass": true,
      "detail": "{\n  \"ok\": true,\n  \"day\": \"20260725\",\n  \"ts\": \"2026-07-25T05:04:54\",\n  \"log\": \"D:\\\\ai-daily-data\\\\news\\\\logs\\\\news_daily_20260725_050444.log\",\n  \"steps\": {\n    \"ports\": {\n      \"8080\": true,\n      \"8081\": true\n    },\n    \"evolve\": true,\n    ",
      "score": null
    },
    "artifact_apple_r5": {
      "pass": true,
      "detail": "size=49301",
      "score": null
    },
    "rank_file_no_channel_leak": {
      "pass": false,
      "detail": "LEAK",
      "score": null
    }
  },
  "scores": {
    "grade_avg": 7.0,
    "fail_count": 2,
    "fails": [
      "oom_awareness",
      "rank_file_no_channel_leak"
    ]
  },
  "verdict": "PASS",
  "fixes_applied": [],
  "grades": {
    "8080_pipeline": 9,
    "8081_rank": 8,
    "compress": 8,
    "oom_awareness": 3
  }
}