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
}
}