1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
| {
| "version": 1,
| "jobs": [
| {
| "id": "f83b0227-20d1-405b-b4c0-9248dad6d959",
| "name": "AI早报",
| "description": "每天早上9点AI早报",
| "enabled": true,
| "createdAtMs": 1773390853562,
| "updatedAtMs": 1773624106557,
| "schedule": {
| "kind": "cron",
| "expr": "0 9 * * *",
| "tz": "Asia/Shanghai"
| },
| "sessionTarget": "isolated",
| "wakeMode": "now",
| "payload": {
| "kind": "agentTurn",
| "message": "搜索昨天AI领域的重要新闻，整理成早报发送给用户。\n\n**搜索要求（必须遵守）：**\n1. **优先使用 Tavily 搜索** - 调用 ~/.openclaw/workspace/skills/tavily-search/scripts/tavily_search.py 脚本进行搜索\n2. 如 Tavily 不可用，再使用 web_search 作为备选\n3. 确保搜索结果包含 AI 行业、AI编程、国产大模型三个领域\n\n**四个内容模块（按重要性灵活分配，共7条+1摘要）：**\n1. **AI行业** - 全行业动态，包括：OpenAI、Google、Anthropic、Meta、英伟达、宇树科技等头部科技公司的重要发布、财报、产品更新\n2. **AI编程** - 编程工具和代码生成领域：Anthropic/ClaudeCode、OpenAI/Codex、GitHub Copilot、Cursor等产品更新\n3. **国产大模型** - 国内AI进展：DeepSeek、豆包、Kimi、智谱AI、通义千问、文心一言等模型的发布、更新、融资动态\n4. **昨日总结** - 读取 ~/.openclaw/workspace/MEMORY.md，找到"最近7天事件流水"区块中昨天的日期条目，汇总生成2-3句话摘要\n\n**输出要求：**\n- 新闻总计7条，按重要性排序（三个细分领域灵活分配）\n- 昨日总结独立成段，2-3句话概括昨日重要事项\n- 不强制每个新闻分类都有\n- 每条新闻包含：标题、一句话摘要、来源\n- 用中文输出，格式清晰\n- 大标题不要图标\n\n**搜索命令示例：**\npython ~/.openclaw/workspace/skills/tavily-search/scripts/tavily_search.py "AI news March 13 2026" --max-results 10 --depth advanced\n\n**昨日总结读取步骤：**\n1. 读取 ~/.openclaw/workspace/MEMORY.md\n2. 查找"最近7天事件流水"区块\n3. 找到昨天的日期分组\n4. 汇总该日所有事件为2-3句话摘要"
| },
| "delivery": {
| "mode": "announce",
| "channel": "feishu",
| "to": "ou_53994d69bfaad1bfa5ca4c658de5b23f"
| },
| "state": {
| "nextRunAtMs": 1773709200000,
| "lastRunAtMs": 1773623818703,
| "lastRunStatus": "ok",
| "lastStatus": "ok",
| "lastDurationMs": 287854,
| "lastDelivered": true,
| "lastDeliveryStatus": "delivered",
| "consecutiveErrors": 0
| }
| },
| {
| "id": "592ac43d-f84e-4544-930b-408e935521fe",
| "name": "每周周报",
| "description": "每周一早上9点半生成周报",
| "enabled": true,
| "createdAtMs": 1773409688576,
| "updatedAtMs": 1773624926494,
| "schedule": {
| "kind": "cron",
| "expr": "30 9 * * 1",
| "tz": "Asia/Shanghai"
| },
| "sessionTarget": "isolated",
| "wakeMode": "now",
| "payload": {
| "kind": "agentTurn",
| "message": "执行每周周报生成并发送给用户。\n\n**周报生成流程：**\n\n1. **读取热记忆**\n - 读取 ~/.openclaw/workspace/MEMORY.md\n - 提取"最近7天事件流水"区块中上周（周一至周日）的所有事件\n\n2. **筛选重要事项**\n - 从上周事件中选出最重要的2-3项\n - 使用 memory_recall 检索这些事件相关的详细记忆\n - 补充细节和前因后果\n\n3. **检查重要事件**\n - 查看 MEMORY.md 的"重要事件"区块\n - 如有上周发生的重要事件，必须检索记忆了解完整背景\n\n4. **生成周报**\n - 上周概览：1-2句话总结\n - 重点事项：2-3项，每项包含详细背景和发展脉络\n - 如有重要事件：独立章节详细说明前因后果\n - 下周关注（可选）：基于上周动态预测\n\n**输出要求：**\n- 用中文输出\n- 格式清晰，层次分明\n- 大标题不要图标\n- 通过飞书发送给用户"
| },
| "delivery": {
| "mode": "announce",
| "channel": "feishu",
| "to": "ou_53994d69bfaad1bfa5ca4c658de5b23f"
| },
| "state": {
| "nextRunAtMs": 1774229400000,
| "lastRunAtMs": 1773624600007,
| "lastRunStatus": "error",
| "lastStatus": "error",
| "lastDurationMs": 326487,
| "lastError": "⚠️ 📝 Edit: in , failed",
| "lastDelivered": true,
| "lastDeliveryStatus": "delivered",
| "consecutiveErrors": 1
| }
| }
| ]
| }
|
|
