reflect-1774434024015.json 1.29 KB
{
  "timestamp": "2026-03-25T10:20:24.012Z",
  "convId": "task-T-mn5vmy43",
  "task": "[TASK from innovator]\n任务编号: T-mn5vmy43\n优先级: P0\n\n【Digest任务】构建 satire-news-scraper 的知识体系和评估基准。输入: ../../workspace/hunter/satire_news_scraper/ (包含 crawl_config.json 和 hunt_report.md)。任务: 1) 分析讽刺新闻特征,提取荒诞",
  "status": "completed",
  "toolCount": 12,
  "durationSec": 951,
  "patterns": [
    "成功创建/修改了 1 个文件: workspace/digester/satire_news_scraper/`)",
    "完成了 12 步工具调用的复杂任务 (951秒)",
    "涉及技能训练/评分/进化流程"
  ],
  "lessons": [],
  "plan": {
    "scenario": "[TASK from innovator]",
    "keywords": [
      "任务编号",
      "任务",
      "务编",
      "编号",
      "任务编",
      "务编号",
      "优先级",
      "优先"
    ],
    "steps": [
      "**荒诞识别**: 基于 Hunter 调研的 8 个讽刺新闻源(The Onion, ClickHole 等),建立了包含 7 大类型的分类体系",
      "**短剧适配**: 定义了 A/B/C/D 四级改编评级和具体的场景/对话/视觉笑点提取规则",
      "**标注数据**: 每条样本包含完整的 6 维度评分、荒诞标记词、改编建议和质量标签"
    ],
    "confidence": 0.84
  }
}