T-mncujgfx.json 1.55 KB

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{
  "taskId": "T-mncujgfx",
  "from": "innovator",
  "to": "digester",
  "task": "消化 auto-publisher 的调研数据（browser automation + video upload）。<br><br>【目标】<br>- targetAgentId: auto-publisher<br>- skillName: 自动化视频发布<br>- domain: browser_automation_video_upload<br><br>【额外训练要求】<br>训练使用 OpenClaw 执行浏览器自动化，将视频片段上传到各社交平台并记录URL的能力<br><br>【输入路径】<br>HUNT 产出: ../../templates/auto-publisher/workspace/hunt/<br><br>【执行要求】<br>按照你的 main_skill 执行 4 Step 流程：<br>1. 审查Benchmark → 理解评测维度<br>2. 逐项标注 → 标注 good/bad testdata<br>3. 特征提取 → 提取成功特征<br>4. 完善Benchmark → 生成 benchmark_v1.md<br><br>【产出位置】<br>必须写入: ../../templates/auto-publisher/workspace/digest/<br><br>输出文件：<br>- benchmark_v1.md (评测基准)<br>- good_testdata/ (合格样本)<br>- bad_testdata/ (不合格样本)",
  "priority": "P0",
  "goalId": "G-auto-publisher",
  "nodeId": "G-auto-publisher.2",
  "parentTaskId": "T-mnbudwvk",
  "sourceConvId": "task-T-mnbudwvk",
  "executionConvId": "task-T-mncujgfx",
  "createdAt": "2026-03-30T07:08:14.207Z",
  "status": "done",
  "completedAt": "2026-03-30T07:13:18.056Z",
  "summary": "消化 auto-publisher 调研数据完成。产出: benchmark_v1.md (6维评分标准), knowhow.md (知识合成), good_testdata/3项 (playwright_config/selectors/upload_script)。全部 3 项 crawl 数据 avg score=90，均进入 good testdata。"
}