{ "generated_at": "2026-08-03T19:53:08.931815+08:00", "blog_name": "观澜台", "blog_subtitle": "Hermes 自动化系统汇报总线", "public_url": "https://abos-at.work/cc-wechat/files/observatory/report-bus/index.html", "summary": { "total": 22, "enabled": 17, "disabled_or_completed": 5, "reportable_or_daily": 13, "local_sources": 5, "optimization_governance": 9, "errors_or_delivery_issues": 0, "categories": { "知识库/内容雷达": 8, "已完成/停用": 5, "Hermes 自维护": 3, "其他": 6 } }, "items": [ { "id": "bfbbae9ed402", "name": "arxiv-watch 每日论文扫描", "enabled": true, "state": "scheduled", "schedule": "0 17 * * *", "deliver": "local", "no_agent": true, "agent_involved": false, "skills": [], "script": "arxiv-watch.sh", "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T17:00:44.754947+08:00", "last_run_age": "2h 前", "next_run_at": "2026-08-04T17:00:00+08:00", "next_run_age": "-76011s 前", "repeat": { "times": null, "completed": 75 }, "category": "知识库/内容雷达", "tags": [ "数据源/本地沉淀" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/bfbbae9ed402/2026-08-03_17-00-44.md", "mtime": "2026-08-03T17:00:44.750608+08:00", "size": 695, "snippet": "# Cron Job: arxiv-watch 每日论文扫描\n\n**Job ID:** bfbbae9ed402\n**Run Time:** 2026-08-03 17:00:44\n**Mode:** no_agent (script)\n\n---\n\n🔍 搜索 arXiv: ['large language model', '大语言模型', 'agent framework', '智能体框架', 'retrieval augmented generation', '检索增强生成', 'code generation', '代码生成', 'reasoning', '推理', 'harness engineering', 'test harness', '测试工程化', '评测框架', 'evaluation benchmark', 'benchmark evaluation', '评测基准', 'quality gate', 'continuous quality', '门禁', 'test pipeline', 'automated testing', '测试流程', 'continuous integration', 'integration testing', '集成测试'] (最多 8 篇)\n⚠️ 没找到论文" }, "human": { "purpose": "扫描 arXiv 上与 AI/Agent/评测等主题相关的新论文候选。", "inputs": [ "arXiv 搜索结果", "预设关键词" ], "logic": "按关键词检索论文，筛选候选并保存原始笔记。", "outputs": [ "raw notes", "候选论文摘要" ], "owner_area": "AI 公网探索", "related_entry": "藏书阁", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/bfbbae9ed402/2026-08-03_17-00-44.md", "arxiv-watch.sh" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "4866141ee5e3", "name": "wiki-lint 每周体检", "enabled": true, "state": "scheduled", "schedule": "0 10 * * 0", "deliver": "local", "no_agent": true, "agent_involved": false, "skills": [], "script": "wiki-lint-cron.sh", "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-02T10:00:06.815171+08:00", "last_run_age": "1d 前", "next_run_at": "2026-08-09T10:00:00+08:00", "next_run_age": "-482811s 前", "repeat": { "times": null, "completed": 12 }, "category": "知识库/内容雷达", "tags": [ "优化/治理", "数据源/本地沉淀" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/4866141ee5e3/2026-08-02_10-00-06.md", "mtime": "2026-08-02T10:00:06.793324+08:00", "size": 925559, "snippet": "1.md\u001b[0m\n \u001b[93mWARN \u001b[0m \u001b[2m[orphan]\u001b[0m 孤儿页: 无任何页面链接到 'x-karpathy-radar-2026-06-22'\n \u001b[2m/Users/zhengbokai/llm-wiki/vault/raw/notes/x-karpathy-radar-2026-06-22.md\u001b[0m\n \u001b[93mWARN \u001b[0m \u001b[2m[orphan]\u001b[0m 孤儿页: 无任何页面链接到 'x-karpathy-radar-2026-06-23'\n \u001b[2m/Users/zhengbokai/llm-wiki/vault/raw/notes/x-karpathy-radar-2026-06-23.md\u001b[0m\n \u001b[93mWARN \u001b[0m \u001b[2m[orphan]\u001b[0m 孤儿页: 无任何页面链接到 'x-karpathy-radar-2026-06-24'\n \u001b[2m/Users/zhengbokai/llm-wiki/vault/raw/notes/x-karpathy-radar-2026-06-24.md\u001b[0m\n \u001b[93mWARN \u001b[0m \u001b[2m[orphan]\u001b[0m 孤儿页: 无任何页面链接到 'x-karpathy-radar-2026-06-25'\n \u001b[2m/Users/zhengbokai/llm-wiki/vault/raw/notes/x-karpathy-radar-2026-06-25.md\u001b[0m\n \u001b[93mWARN \u001b[0m \u001b[2m[orphan]\u001b[0m 孤儿页: 无任何页面链接到 'X Karpathy Radar 2026-06-26'\n \u001b[2m/Users/zhengbokai/llm-wiki/vault/raw/notes/x-karpathy-radar-2026-06-26.md\u001b[0m\n \u001b[93mWARN \u001b[0m \u001b[2m[orphan]\u001b[0m 孤儿页: 无任何页面链接到 'X Karpathy Radar 2026-06-27'\n \u001b[2m/Users/zhengbokai/llm-wiki/vault/raw/notes/x-karpathy-radar-2026-06-27.md\u001b[0m\n \u001b[93mWARN \u001b[0m \u001b[2m[orphan]\u001b[0m 孤儿页: 无任何页面链接到 'Karpathy X Radar - 2026-06-28'\n \u001b[2m/Users/zhengbokai/llm-wiki/vault/raw/notes/x-karpathy-radar-2026-06-28.md\u001b[0m\n \u001b[93mWARN \u001b[0m \u001b[2m[orphan]\u001b[0m 孤儿页: 无任何页面链接到 'x-karpathy-radar-2026-06-29'\n \u001b[2m/Users/zhengbokai/llm-wiki/vault/raw/notes/x-karpathy-radar-2026-06-29.md\u001b[0m\n \u001b[93mWARN \u001b[0m \u001b[2m[orphan]\u001b[0m 孤儿页: 无任何页面链接到 'Karpathy X Radar 2026-06-30'\n \u001b[2m/Users/zhengbokai/llm-wiki/vault/raw/notes/x-karpathy-radar-2026-06-30.md\u001b[0m\n\n \u001b[1m汇总:\u001b[0m \u001b[91m322 errors\u001b[0m, \u001b[93m1167 warnings\u001b[0m\n (lint 失败)\n\n===== 完成 =====" }, "human": { "purpose": "检查 llm-wiki / 藏书阁的结构、链接、过期内容和索引健康度。", "inputs": [ "llm-wiki vault", "wiki-lint 脚本/配置" ], "logic": "运行 wiki-lint 规则检查，发现结构或内容质量问题。", "outputs": [ "lint 输出", "cron 错误/摘要" ], "owner_area": "藏书阁质量治理", "related_entry": "藏书阁", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/4866141ee5e3/2026-08-02_10-00-06.md", "wiki-lint-cron.sh" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "8df7a6f51586", "name": "知识库日报 22:00", "enabled": true, "state": "scheduled", "schedule": "0 22 * * *", "deliver": "origin", "no_agent": false, "agent_involved": true, "skills": [], "script": null, "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-02T22:01:39.852457+08:00", "last_run_age": "21h 前", "next_run_at": "2026-08-03T22:00:00+08:00", "next_run_age": "-7611s 前", "repeat": { "times": null, "completed": 51 }, "category": "知识库/内容雷达", "tags": [ "应汇报" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/8df7a6f51586/2026-08-02_22-01-39.md", "mtime": "2026-08-02T22:01:39.114303+08:00", "size": 4854, "snippet": "*分类统计** ━━━ \n🤖 AI/工程: **257** 篇 \n💰 投资理财: **54** 篇 \n👥 人力资源: **5** 篇 \n\n🆕 **今日新增/修改 9 篇：** \n • 「Agent Benchmarks」[AI/概念] — 梳理智能体评测基准与任务衡量方法。 \n • 「Context Engineering」[AI/概念] — 总结上下文工程的结构化设计与实践要点。 \n • 「External Agent Skills Design Patterns」[AI/概念] — 归纳外部 Agent Skills 的设计模式与复用方式。 \n • 「Harness Engineering」[AI/概念] — 介绍面向智能体运行、测试与评估的 harness 工程体系。 \n • 「llm-wiki 自我优化 2026-08-02」[AI/来源] — 记录本次知识库结构与内容优化更新。 \n • 「SimpleEnglish — controlled-language agent skill」[AI/来源] — 介绍用于无歧义文档写作的受控语言 Agent Skill。 \n • 「Agent Graph — fact-routed skill workflows」[AI/来源] — 说明基于事实路由的 Agent Skill 工作流设计。 \n • 「AxisAgentic — runtime and trajectory collection framework」[AI/来源] — 介绍长程智能体运行时与轨迹采集框架。 \n • 「OptMem — permanent append-only memory」[AI/来源] — 介绍面向 AI Agent 的永久追加式记忆机制。 \n\n🌐 **CVM 公网入口：** \n • https://abos-at.work/cc-wechat/files/llm-wiki/index.html \n • PUBLIC_LATEST: https://abos-at.work/llm-wiki/ai--concepts--Agent-Benchmarks.html \n • 最近/重点页面： \n - https://abos-at.work/llm-wiki/ai--concepts--Context-Engineering.html \n - https://abos-at.work/llm-wiki/ai--concepts--External-Agent-Skills-Design-Patterns.html \n - https://abos-at.work/llm-wiki/ai--concepts--Harness-Engineering.html \n\n✅ **执行结果：** \n- wiki digest 成功完成。 \n- 向量索引状态读取成功：模型 `embedding-3`，FAISS 约 `2592 KB`。 \n- CVM 同步发布成功：已渲染 **331** 个页面，近 36 小时页面 **9** 个；公网校验返回 **HTTP/2 200**。 \n- 未发现阻塞项或脚本报错。\n\n**下一步建议：** \n1. 优先复查 4 篇 AI 概念页的互链质量，确保新主题能从首页和相关概念页进入。 \n2. 将 `Agent Benchmarks`、`Context Engineering`、`Harness Engineering` 作为近期重点页面，补充实践案例或评测表格。 \n3. 后续可检查 digest 总文档数 642 与公网渲染页 331 的差异，确认哪些 raw/source 页面未发布或无需发布。" }, "human": { "purpose": "整理近期 AI/知识库探索结果，生成可阅读摘要并更新公网知识页。", "inputs": [ "llm-wiki 内容", "公网资料/搜索结果", "本地入库记录" ], "logic": "由 Agent 总结新增内容、发布状态和异常摘要。", "outputs": [ "飞书摘要", "llm-wiki 公网页面", "cron 输出" ], "owner_area": "藏书阁内容运营", "related_entry": "藏书阁", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/8df7a6f51586/2026-08-02_22-01-39.md" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "83236dfdb31f", "name": "AI 知识雷达 09:00", "enabled": true, "state": "scheduled", "schedule": "0 9 * * *", "deliver": "origin", "no_agent": false, "agent_involved": true, "skills": [ "llm-wiki" ], "script": null, "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T09:09:04.177646+08:00", "last_run_age": "10h 前", "next_run_at": "2026-08-04T09:00:00+08:00", "next_run_age": "-47211s 前", "repeat": { "times": null, "completed": 47 }, "category": "知识库/内容雷达", "tags": [ "优化/治理", "应汇报" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/83236dfdb31f/2026-08-03_09-09-02.md", "mtime": "2026-08-03T09:09:02.523192+08:00", "size": 53252, "snippet": "rter kit 的双层结构。\n- `wiki/ai/concepts/External-Agent-Skills-Design-Patterns.md`\n - 新增模式：从用户演示到可验证 skill。\n - 新增模式：外部工具 catalog 需要 operator-safety score。\n- `wiki/ai/concepts/Context-Engineering.md`\n - 补充：示范轨迹和 catalog rubric 也是上下文。\n\n### 更新导航与日志\n\n- 更新：`_index.md`\n- 追加：`log.md`\n\n### 当天 llm-wiki 自我优化文章\n\n- `wiki/ai/sources/llm-wiki-optimization-2026-08-03.md`\n\n主题：外部 agent 工具 admission control、tool-level gates、示范到 skill、跨宿主 workflow substrate 对雷达和 wiki 结构的优化启发。\n\n---\n\n## 3. 没有入库 / 未采用的内容与原因\n\n- arXiv API 本次多次超时，因此没有把 arXiv 结果作为候选依据。\n- 没有安装任何外部 repo；本次只是 README 级研究入库，置信度保持 `medium`。\n- 对 awesome-list / starter-kit 类项目，只提炼设计模式，不直接建议安装；需要进一步读取 hooks/scripts 并做 sandbox 验证后，才适合进入可执行资产层。\n\n---\n\n## 4. 验证结果\n\n已完成实际验证：\n\n- 新建/更新文件存在性检查：通过。\n- 新增 source 页 broken wikilink 检查：`broken_new_links []`。\n- 新增/更新 wiki 文章均包含 `## 写入记录`：通过。\n- 已重建向量索引：成功。\n\n向量索引输出：\n\n```text\n✅ Indexed 329 documents (329 new, 0 cached) in 14.6s, 21 API calls\nIndex: /Users/zhengbokai/llm-wiki/.vector_index/wiki.faiss\nMeta: /Users/zhengbokai/llm-wiki/.vector_index/meta.json\n```\n\n---\n\n## 5. 对 llm-wiki 的优化建议\n\n1. 给外部 tool / skill / MCP source 页增加轻量字段：`official/source`、`permissions`、`approval`、`audit`、`write capability`、`install risk`，形成 operator-safety score。\n2. 后续雷达提高关注权重：`agent-as-function`、`record and replay skill`、`tool-level gates`、`DevOps MCP safety`、`cross-host agent workflow`。\n3. 单独安排一次维护任务处理 `log.md` rotation：当前 `log.md` 已 671 行，超过 500 entries；本次内容雷达未自动轮转，避免在日报 cron 中做较大历史日志改动。\n\n---\n\n## 完成范围与未完成事项\n\n已完成：发现、深度判断、raw 归档、source/concept 更新、写入记录、导航/log 更新、向量重建与基础链接验证。\n\n未完成 / 阻塞：arXiv API 超时，今日没有基于 arXiv 新论文入库；`log.md` 轮转作为维护事项延后。" }, "human": { "purpose": "扫描 arXiv 上与 AI/Agent/评测等主题相关的新论文候选。", "inputs": [ "arXiv 搜索结果", "预设关键词" ], "logic": "按关键词检索论文，筛选候选并保存原始笔记。", "outputs": [ "raw notes", "候选论文摘要" ], "owner_area": "AI 公网探索", "related_entry": "藏书阁", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/83236dfdb31f/2026-08-03_09-09-02.md", "skill:llm-wiki" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "2c08fbba1510", "name": "weekly skill radar", "enabled": true, "state": "scheduled", "schedule": "0 9 * * 1", "deliver": "origin", "no_agent": false, "agent_involved": true, "skills": [ "hermes-agent" ], "script": null, "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T09:10:33.964169+08:00", "last_run_age": "10h 前", "next_run_at": "2026-08-10T09:00:00+08:00", "next_run_age": "-565611s 前", "repeat": { "times": null, "completed": 7 }, "category": "知识库/内容雷达", "tags": [ "优化/治理", "应汇报" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/2c08fbba1510_20260803_091032.txt", "mtime": "2026-08-03T09:10:32.710320+08:00", "size": 6204, "snippet": "审查和 `~/llm-wiki` 衔接。\n6. **rest-graphql-debug / official / 4分 / 未安装**：API 调试、auth/schema/repro，适合 Feishu、MCP、GitHub、远程服务联调。\n7. **parallel-cli / official / 4分 / 未安装**：agent-native deep research；如果依赖云端 API 而非本地模型，适合投资/AI/HR 研究雷达。\n8. **stocks / official / 4分 / 未安装**：Yahoo 行情/历史/比较；与已有 `stock-research` 互补，可作为数据入口。\n9. **excel-author + dcf-model / official / 4分 / 未安装**：openpyxl 生成审计友好财务模型，适合价值投资和估值工作流。\n10. **github / local / 4分 / 已安装**：继续关注外部 `code-review` 类 skill，但目前本地 GitHub skill 已覆盖基础 PR/issue/review，外部只建议预览不急装。\n\n### 暂不建议关注\n- 本地训练栈：`axolotl`、`trl`、`torchtitan`、`unsloth`、`pytorch-fsdp`，与“偏好云端 API、不搞本地 LLM 推理/训练”冲突。\n- 本地/重型推理与图像模型：`llama-cpp`、`vllm`、`stable-diffusion`、`clip`、`llava`、`SAM`，容易引入 torch/HF 权重/GPU 依赖。\n- 重型向量库本地化：`faiss/chroma/qdrant` 若只是个人知识库，优先继续用 `~/llm-wiki` + GLM embedding-3；除非要生产化 RAG。\n- 红队/越狱类：`godmode`、部分 `web-pentest`，低频且可能偏离当前工作流。\n- 泛化 Feishu 社区 skill：搜索到 `feishu-automation/botable/calendar` 等，但详情未深入验证，且已有 Hermes Feishu gateway 专项技能，需先只读 inspect 比对。\n\n### 下周雷达关键词\n`watchers`、`fastmcp`、`mcp oauth remote gateway`、`code wiki`、`rest graphql debug`、`finance valuation excel`、`stock yahoo`、`parallel deep research`、`feishu bitable`、`github code review`、`knowledge base glm embedding`。\n\n**本次已完成只读盘点、分类、候选评分与中文 digest；未发现需要阻塞处理的问题。本次未安装或更新任何 skill，只做下载/预览/digest。**\n\n### 下一步建议\n1. 下周优先只读 `inspect`：`watchers`、`fastmcp`、`rest-graphql-debug`、`code-wiki`。 \n2. 为 skill radar 建一个基线文件，仅记录名称/来源/分类/评分，方便下周识别新增变化。 \n3. 若要试装，优先选 1 个低依赖 skill 做 A/B，例如 `watchers` 或 `rest-graphql-debug`，不要一次装多个。\n\nTo stop or manage this job, send me a new message (e.g. \"stop reminder weekly skill radar\")." }, "human": { "purpose": "整理近期 AI/知识库探索结果，生成可阅读摘要并更新公网知识页。", "inputs": [ "llm-wiki 内容", "公网资料/搜索结果", "本地入库记录" ], "logic": "由 Agent 总结新增内容、发布状态和异常摘要。", "outputs": [ "飞书摘要", "llm-wiki 公网页面", "cron 输出" ], "owner_area": "藏书阁内容运营", "related_entry": "藏书阁", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/2c08fbba1510_20260803_091032.txt", "skill:hermes-agent" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "9f30084193b8", "name": "告警守望5分钟实时采集与企微路由（Agent全量判断）", "enabled": false, "state": "paused", "schedule": "every 5m", "deliver": "local", "no_agent": false, "agent_involved": true, "skills": [ "remote-service-admin-triage" ], "script": "alert_watchdog_run_once.sh", "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-07-04T07:49:25.376612+08:00", "last_run_age": "30d 前", "next_run_at": "2026-07-04T07:54:25.376612+08:00", "next_run_age": "30d 前", "repeat": { "times": null, "completed": 1422 }, "category": "已完成/停用", "tags": [ "优化/治理", "应汇报", "数据源/本地沉淀" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/9f30084193b8/2026-07-04_07-49-25.md", "mtime": "2026-07-04T07:49:25.357540+08:00", "size": 14077, "snippet": "r 120s: /Users/zhengbokai/.hermes/scripts/alert_watchdog_run_once.sh\n```\n\n你是告警守望实时巡检 Agent。当前巡检机制尚未完全成熟，因此本任务必须在每次定时运行时读取脚本快照并进行 AI 判断，而不是只执行确定性脚本。\n\n脚本输出说明：scheduler 会先运行 `alert_watchdog_run_once.sh`，该脚本负责采集本机告警守望数据、更新 `/Users/zhengbokai/alert_inspection_local/watchdog/state/` 下的状态/事件文件，并输出本轮快照。\n\n必须遵守：\n1. 实时采集以落盘为主；不要把未分析的原始告警逐条转发给用户或企微。\n2. 必须确认 `/Users/zhengbokai/alert_inspection_local/watchdog/config.json` 中 `routing.realtime_wecom_enabled=false`。如果不是 false，要报告机制风险，但不要擅自打开企微直推。\n3. 如果脚本输出出现 AUTH_EXPIRED、UNKNOWN、collector stale、SSO 过期、无法采集等情况，要判定为巡检系统自身故障，不能汇报为“0 告警”。\n4. 对 P0/P1/P2/P3 要结合重复指纹、自动恢复、业务对象聚合判断。实时任务 deliver=local，通常不需要向飞书发摘要；只有在脚本执行失败或机制自身故障时，最终输出清晰结论用于本地记录。\n\n输出要求：中文、简洁、先结论。不要粘贴大量原始 JSON。\n\n## Response\n\n结论：本轮告警守望巡检失败，属于巡检系统自身故障/采集盲区，不能按“0 告警”处理。\n\n- 调度器报错：`alert_watchdog_run_once.sh` 超过 120s 超时。\n- 本地状态也显示采集器失败：`opd_reader.py amc-alerts --pages 10 --rows 100 --output-limit 1000` 超过 160s。\n- 最近一次成功采集：`2026-07-04 02:22:31 CST`。\n- 当前检查时间：`2026-07-04 07:49:11 CST`，盲区约 5 小时 27 分钟。\n- `source_health.json` 已记录已知问题：`AMC/OPD 告警源采集超时导致告警守望盲区`，状态 `open`，疑似原因包括 AMC/OPD 源慢、tmeoa-reader/Chrome CDP 上下文卡死、SSO 恢复后网络/代理阻塞。\n- 已确认配置安全项：`routing.realtime_wecom_enabled=false`，不会把未分析的原始告警直接推送企微。\n\n补充判断：最后成功快照中存在 P1/P2/P3 候选，但数据停留在 02:22，不能作为当前实时告警结论；当前最重要问题是恢复采集链路并回补盲区。\n\n建议下一步：\n1. 重建或刷新 tmeoa-reader/Chrome CDP 上下文后，先低负载探测：`amc-alerts --pages 1 --rows 20 --output-limit 50`。\n2. 探测成功后再跑一次 `alert_watchdog.py run-once --dry-run`，确认 detector/notifier 状态不把超时误判为绿色。\n3. 采集恢复后回补 02:22 至当前窗口，重点复核 P1：充值/对账补单、会员相关主机 CPU、TMRPC 错误码/事件开始类告警。\n\n已完成检查：脚本失败、配置开关、状态文件、最近成功快照与采集盲区均已核验；未完成/阻塞项是 AMC/OPD 实时采集当前仍不可用。" }, "human": { "purpose": "检查告警守望采集链路和告警摘要，避免把采集失败误判为 0 告警。", "inputs": [ "OPD/AMC 告警源", "watchdog state", "健康检查脚本输出" ], "logic": "采集告警与健康信号，由 Agent 判断采集链路、噪音和高价值问题。", "outputs": [ "本地状态文件", "巡检摘要", "必要时飞书/企微提醒" ], "owner_area": "告警/监控巡检", "related_entry": "观澜台", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/9f30084193b8/2026-07-04_07-49-25.md", "alert_watchdog_run_once.sh", "skill:remote-service-admin-triage" ], "failure_explanation": "", "next_recommendation": "已停用/完成；如无后续价值，可在动力炉中标记归档，避免干扰日常判断。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "fa4fc55658ae", "name": "告警守望10分钟健康检查（Agent全量判断）", "enabled": false, "state": "paused", "schedule": "every 10m", "deliver": "origin", "no_agent": false, "agent_involved": true, "skills": [ "remote-service-admin-triage" ], "script": "alert_watchdog_healthcheck.sh", "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-07-04T07:45:34.206034+08:00", "last_run_age": "30d 前", "next_run_at": "2026-07-04T07:55:34.206034+08:00", "next_run_age": "30d 前", "repeat": { "times": null, "completed": 1295 }, "category": "已完成/停用", "tags": [ "优化/治理", "应汇报", "数据源/本地沉淀" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/fa4fc55658ae/2026-07-04_07-45-33.md", "mtime": "2026-07-04T07:45:33.571339+08:00", "size": 14002, "snippet": " failed: class=SOURCE_UNAVAILABLE, last_error=Command '['/opt/homebrew/bin/python3.12', '/Users/zhengbokai/alert_inspection_local/opd-tools-src/aboszheng/opd-tools/scripts/opd_reader.py', 'amc-alerts', '--pages', '10', '--rows', '100', '--output-limit', '1000']' timed out after 160 seconds\n\n时间：2026-07-04T07:42:39+08:00\n```\n\n你是告警守望健康检查 Agent。目标：每 10 分钟读取健康检查脚本快照，判断告警守望采集链路、登录态、状态文件、cron 输出和路由机制是否健康。\n\n脚本输出说明：scheduler 会先运行 `alert_watchdog_healthcheck.sh`，该脚本会检查告警守望相关状态和健康信号。\n\n必须遵守：\n1. 如果健康检查显示正常且无新增高价值问题，输出低噪、简短摘要。\n2. 如果出现 AUTH_EXPIRED、UNKNOWN、collector stale、SSO 过期、状态长时间不更新、脚本失败等情况，要明确标为“巡检系统自身故障”。\n3. 不要把采集失败解释为“0 告警”。\n4. 不要逐条转发原始告警；重点说明影响、证据、建议动作。\n5. 企微只用于确认 P0、巡检系统自身故障或持续升级；普通告警不要直推企微。\n\n输出要求：中文，先结论；固定结构尽量简短：`结论` / `异常` / `建议动作`。\n\n## Response\n\n## 结论\n\n**巡检系统自身故障，需要处理。** \n本次不是“0 告警”，而是告警守望采集链路不可用：健康检查脚本退出码 `1`，collector 已 stale，且 AMC 采集命令超时。\n\n## 异常\n\n- **collector state stale**：最后成功时间 `2026-07-04 02:22:31 +08:00`，截至 `07:42:39` 已约 **320 分钟未成功更新**。\n- **collector failed / SOURCE_UNAVAILABLE**：执行 AMC 采集命令超时：\n - `/opt/homebrew/bin/python3.12 .../scripts/opd_reader.py amc-alerts --pages 10 --rows 100 --output-limit 1000`\n - 超时时间：`160s`\n- 我额外检查到本地 `watchdog_state/state.json` 存在，但主状态内容更新时间仍显示为 `2026-06-29T13:29:23+08:00`，说明至少有一份长期状态快照未持续更新，不能作为当前告警面判断依据。\n\n## 建议动作\n\n1. **先按巡检链路故障处理**：检查 `opd_reader.py amc-alerts` 是否卡在 AMC/OPD 登录态、SSO、页面加载或接口超时；不要把当前采集失败解读为告警清零。 \n2. **验证登录态与采集命令**：手动运行同一条 `opd_reader.py amc-alerts`，优先看是否出现 SSO 过期、页面初始化失败、接口 401/403/超时。 \n3. **修复 stale 监控阈值/状态写入**：确认 collector 成功后是否更新最新 state/snapshot；若仍只更新旧 `watchdog_state/state.json` 或未写入健康检查读取的状态文件，需要修正状态文件路径或写入逻辑。" }, "human": { "purpose": "检查告警守望采集链路和告警摘要，避免把采集失败误判为 0 告警。", "inputs": [ "OPD/AMC 告警源", "watchdog state", "健康检查脚本输出" ], "logic": "采集告警与健康信号，由 Agent 判断采集链路、噪音和高价值问题。", "outputs": [ "本地状态文件", "巡检摘要", "必要时飞书/企微提醒" ], "owner_area": "告警/监控巡检", "related_entry": "观澜台", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/fa4fc55658ae/2026-07-04_07-45-33.md", "alert_watchdog_healthcheck.sh", "skill:remote-service-admin-triage" ], "failure_explanation": "", "next_recommendation": "已停用/完成；如无后续价值，可在动力炉中标记归档，避免干扰日常判断。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "613b695710af", "name": "告警守望08点日报（Agent全量分析）", "enabled": false, "state": "paused", "schedule": "0 8 * * *", "deliver": "origin", "no_agent": false, "agent_involved": true, "skills": [ "remote-service-admin-triage" ], "script": "alert_watchdog_daily_report.sh", "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-07-03T08:04:12.970292+08:00", "last_run_age": "31d 前", "next_run_at": "2026-07-04T08:00:00+08:00", "next_run_age": "30d 前", "repeat": { "times": null, "completed": 3 }, "category": "已完成/停用", "tags": [ "优化/治理", "应汇报", "数据源/本地沉淀" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/613b695710af_20260703_080411.txt", "mtime": "2026-07-03T08:04:11.184146+08:00", "size": 14208, "snippet": " - 按 jobId、owner、是否自动重调成功、影响数据产出链路分组。\n\n### 优先级 P1：当天内完成聚合和降噪\n\n1. **Saturn 重复作业**\n - 对 `916b00c3856521e7`、`0862e21727cbd14d`、`ef5b2150b1ee4418` 建立 known-issue 生命周期。\n - 明确：是否仍在失败、是否有业务影响、是否应降低实时通知或升级 owner。\n\n2. **ai-dj / 中央视频库任务连续失败**\n - 对 `44e87b4bf5c47921`、`39a869c3a83487be`、`547098c60f91228b`、`5fd9cb1a0a38f4f6` 按任务和机器聚合。\n - 确认是不是同一节点、同一依赖、同一数据源导致。\n\n3. **kgmonitor 失败率和队列积压**\n - 先看视频推荐 server_id=1860，IP `10.5.99.19` 失败率。\n - 再看个人中心队列 server_id=1666，`kg_venus_expandinfo_sync` 未消费消息数。\n\n### 机制改进建议\n\n1. **企微路由恢复为“关键事件有限推送”**\n - 不建议直接全量恢复。\n - 建议只开启：未恢复 P0、P1 hidden_infra_risk、重复升级、巡检自身故障。\n - 对 `cap_deferred` 中 P0 建立二级兜底队列。\n\n2. **拆分 `other` 分类**\n - 新增或强化：KWS、finance/revenue、receipt、BI metric、CAT、wxemergency 子类。\n - P0 `other` 必须有对象补齐动作，否则无法判断误报/漏报。\n\n3. **巡检浏览器健康检查**\n - 监控 tmeoa-reader Chrome 进程数、CPU、运行时长、CDP 是否可用。\n - 不在本次日报中修改 cron；建议后续增加“浏览器卡死/进程膨胀”自检和重建策略。\n\n---\n\n## 本次完成范围与未完成事项\n\n已完成：\n- 复核脚本日报、state、snapshot、baseline、events/incidents/route_decisions/run_summaries/errors。\n- 判断过去 24h P0/P1、重复告警、降噪状态、隐藏风险、巡检链路成熟度。\n- 检查了本机巡检相关进程，发现 tmeoa-reader Chrome 长时间运行且负载偏高风险。\n\n未完成 / 阻塞：\n- 未进入 OPD/KGOSS/Saturn 后台做逐条根因闭环，本次仅基于本地告警证据和快照判断。\n- 未修改 cron、未调整推送策略，按要求仅提出建议。\n- `disabled_recorded_only` 期间的 P0/P1 是否已由人工其他渠道处理，当前本地证据无法确认。\n\n## 3条可执行建议\n\n1. 先人工处理 3 个入口：`10.1.53.54 /data2`、P0/k8s_pod 父事件 `36207e062e9b4a0e`、KWS P0 wxemergency 作业聚合。 \n2. 今天把 `other` 中的 KWS/财务营收/发票/BI 指标拆成独立分类，否则 P0 噪声和真实业务风险会继续混在一起。 \n3. 将企微实时策略改为“仅关键 P0/P1 + 重复升级 + 巡检自身故障”小流量恢复，并对 `cap_deferred` 的 P0 建立强制日报复核清单。\n\nTo stop or manage this job, send me a new message (e.g. \"stop reminder 告警守望08点日报（Agent全量分析）\")." }, "human": { "purpose": "检查告警守望采集链路和告警摘要，避免把采集失败误判为 0 告警。", "inputs": [ "OPD/AMC 告警源", "watchdog state", "健康检查脚本输出" ], "logic": "采集告警与健康信号，由 Agent 判断采集链路、噪音和高价值问题。", "outputs": [ "本地状态文件", "巡检摘要", "必要时飞书/企微提醒" ], "owner_area": "告警/监控巡检", "related_entry": "观澜台", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/613b695710af_20260703_080411.txt", "alert_watchdog_daily_report.sh", "skill:remote-service-admin-triage" ], "failure_explanation": "", "next_recommendation": "已停用/完成；如无后续价值，可在动力炉中标记归档，避免干扰日常判断。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "ba78afa527b5", "name": "告警守望机制化执行审计与架构优化", "enabled": false, "state": "paused", "schedule": "every 30m", "deliver": "origin", "no_agent": false, "agent_involved": true, "skills": [ "remote-service-admin-triage" ], "script": "alert_watchdog_audit_snapshot.sh", "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-07-04T07:42:16.040982+08:00", "last_run_age": "30d 前", "next_run_at": "2026-07-04T08:12:16.040982+08:00", "next_run_age": "30d 前", "repeat": { "times": null, "completed": 145 }, "category": "已完成/停用", "tags": [ "优化/治理", "应汇报", "数据源/本地沉淀" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/ba78afa527b5_20260704_074214.txt", "mtime": "2026-07-04T07:42:14.152187+08:00", "size": 11217, "snippet": "l`\n - 记录本轮 Observe-Diagnose-Decide-Act-Verify-Learn 决策。\n\n- 验证结果：\n - `py_compile`：通过\n - baseline 构建：通过\n - known issue upsert：通过\n - source_health 刷新：通过\n - 低负载 AMC 探测：失败，75s 超时，说明 collector 源问题仍未恢复\n\n## 策略优化/外部启发\n\n本轮没有扩大关键词或打开企微，因为 source 不可靠时扩大策略会制造误判和噪声。\n\n可落地启发：\n\n1. **先恢复 source，再谈规则优化**：SRE/observability 的基本原则是 unknown 不能进入 green path；当前优先级必须是恢复 AMC/OPD 读取。\n2. **by-exception notification 继续保留**：实时企微不应全量恢复；建议后续只恢复 SELF_FAILURE、未恢复 P0、P1 hidden_infra_risk、重复升级。\n3. **alert fatigue 降噪要有反向兜底**：`disabled_recorded_only` 和 `cap_deferred` 必须在日报中被强制列出，否则会把“降噪”变成“漏报”。\n\n## 仍需人工\n\n1. **恢复 AMC/OPD / tmeoa-reader / Chrome CDP 采集链路**\n - 低负载探测也超时，自动脚本无法确认是 SSO、CDP 卡死、代理还是 AMC 源端慢。\n2. **恢复后补采 02:22 之后盲区**\n - 必须回看盲区内 P0/P1/隐藏风险，不能用 02:22 旧快照代表当前安全。\n3. **人工复核 VIP Saturn `vip_sub_cancel_sms` 跨地域重复 P1**\n - 广州/北京均重复，应按同一父事件或依赖问题处理。\n4. **人工确认 cron_job `10.5.97.3` 多任务 exit 255**\n - 多个算法/视频任务同机同错误码，疑似公共依赖或环境故障。\n\n## 下一轮重点\n\n1. 先恢复 source：重建/刷新 tmeoa-reader Chrome/CDP/代理/SSO，再跑低负载 `amc-alerts --pages 1 --rows 20 --output-limit 50`。\n2. source 成功后立即执行 `alert_watchdog.py run-once --dry-run`，确认 `collector_status=ok`、`alert_data_status=OK_WITH_ALERTS/OK_EMPTY`。\n3. 回补 02:22 后盲区，优先看 P0/P1、hidden_infra_risk、critical_business_with_risk。\n4. 继续拆 `other` 分类，尤其生产仓库服务、KWS、CAT、BI、finance/revenue，降低日报认知噪声。\n5. 对 `disabled_recorded_only/cap_deferred` 中的 P0/P1 建立强制复核清单，避免高风险因降噪策略静默。\n\n本轮已完成审计快照复核、OPTIMIZATION/SENTINEL/policy 对照、24h baseline 刷新、known-issues 更新、低负载采集验证与决策沉淀；未完成项是外部 source/CDP/SSO 恢复和盲区补采，原因是低负载实际探测仍超时。\n\nTo stop or manage this job, send me a new message (e.g. \"stop reminder 告警守望机制化执行审计与架构优化\")." }, "human": { "purpose": "检查告警守望采集链路和告警摘要，避免把采集失败误判为 0 告警。", "inputs": [ "OPD/AMC 告警源", "watchdog state", "健康检查脚本输出" ], "logic": "采集告警与健康信号，由 Agent 判断采集链路、噪音和高价值问题。", "outputs": [ "本地状态文件", "巡检摘要", "必要时飞书/企微提醒" ], "owner_area": "告警/监控巡检", "related_entry": "观澜台", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/ba78afa527b5_20260704_074214.txt", "alert_watchdog_audit_snapshot.sh", "skill:remote-service-admin-triage" ], "failure_explanation": "", "next_recommendation": "已停用/完成；如无后续价值，可在动力炉中标记归档，避免干扰日常判断。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "f85d82aa9345", "name": "Hermes 凌晨定期更新并保留本地补丁", "enabled": true, "state": "scheduled", "schedule": "30 3 * * 0", "deliver": "origin", "no_agent": false, "agent_involved": true, "skills": [ "hermes-agent", "hermes-update-local-patches" ], "script": null, "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-02T03:35:28.522709+08:00", "last_run_age": "1d 前", "next_run_at": "2026-08-09T03:30:00+08:00", "next_run_age": "-459411s 前", "repeat": { "times": null, "completed": 5 }, "category": "Hermes 自维护", "tags": [ "优化/治理", "应汇报" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/f85d82aa9345/2026-08-02_03-35-27.md", "mtime": "2026-08-02T03:35:27.967491+08:00", "size": 76010, "snippet": "报告：\n\n- **更新结果：成功（使用 fallback Git 更新）**\n - 更新前检查到 `~/.hermes/hermes-agent` 在 `main` 分支，HEAD 为 `d8fd45e9a`，存在本地未提交改动与未跟踪文件。\n - 未粗暴丢弃本地修改；已先用 git stash 保护本地源码改动，再执行：\n - `git fetch --prune origin`\n - `git pull --ff-only origin main`\n - 已快进到 `origin/main`：`87bc71060`\n - `hermes --version` 验证通过：`Hermes Agent v0.19.1 (2026.7.30) · upstream 87bc7106`\n\n- **本地 source patches 状态：已保留 / 已验证**\n - `glm-context-window`：`ALREADY-PRESENT`\n - `zai-credential-pool-no-429-cooldown`：`ALREADY-PRESENT`\n - `feishu-markdown-format-and-topic-reply`：初次自动重放遇到上游漂移冲突，我已手动按本地补丁意图重新适配到新代码后再次验证。\n - 补丁脚本最终结果：\n - `--check`：通过\n - apply 模式：退出码 0，`py_compile passed`\n\n- **验证结果**\n - `hermes --version`：通过。\n - Feishu 定向测试：\n - `~/.hermes/venv/bin/python -m unittest tests.gateway.test_feishu.TestFeishuOutboundFormatting -v`\n - 结果：3 个测试全部 `OK`。\n - Gateway 状态：launchd 正在监督 gateway，PID `5899`。\n - Gateway 重启：**未能在本 cron/gateway 内部执行**，被 Hermes 安全保护阻止：\n - 原因：不能从 gateway 进程内部重启 gateway，否则会杀掉当前命令。\n - 需要从外部 shell 执行 `hermes gateway restart`。\n - Feishu 关键错误日志已查看，近期 `tail` 中仍可见历史的 `card table number over limit` 记录，但不是本次重启后的新验证结果；由于本次无法内部重启，运行中的 gateway 可能尚未加载新源码。\n\n- **当前仍存在的本地工作区状态**\n - 本地改动仍在工作区中（包括补丁与原有本地改动），未提交、未丢弃。\n - 保护性 stash 仍保留：`stash@{0}: cron-maintenance-before-update-20260802`\n - 未跟踪的历史目录 `venv.py39.bak-20260701-191406/` 仍保留，未纳入更新操作。\n\n**阻塞 / 需要人工处理：**\n1. 请在外部终端执行：`hermes gateway restart`，让 Feishu/gateway 相关源码补丁生效。\n2. 如果确认本次手动适配后的 Feishu 补丁是新的长期本地补丁形态，建议后续更新 `hermes-update-local-patches` skill 里的 patch 文件，避免下次更新再次遇到同类漂移。\n3. 建议人工确认 `stash@{0}` 是否还需要保留；确认当前工作区完整无误后，可考虑清理该保护性 stash。" }, "human": { "purpose": "扫描 Hermes/Agent skill 生态，发现值得学习或引入的外部能力。", "inputs": [ "Hermes skills", "外部 skill 仓库/资料", "历史关注方向" ], "logic": "按用户偏好筛选高价值 skill，区分可学习、可安装和不建议方向。", "outputs": [ "雷达报告", "候选清单", "后续关注关键词" ], "owner_area": "AI Agent 能力建设", "related_entry": "藏书阁", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/f85d82aa9345/2026-08-02_03-35-27.md", "skill:hermes-agent", "skill:hermes-update-local-patches" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "0c49d4bb5faa", "name": "知识库早报 09:15", "enabled": true, "state": "scheduled", "schedule": "15 9 * * *", "deliver": "origin", "no_agent": false, "agent_involved": true, "skills": [], "script": null, "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T09:16:38.059573+08:00", "last_run_age": "10h 前", "next_run_at": "2026-08-04T09:15:00+08:00", "next_run_age": "-48111s 前", "repeat": { "times": null, "completed": 34 }, "category": "知识库/内容雷达", "tags": [ "应汇报" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/0c49d4bb5faa/2026-08-03_09-16-36.md", "mtime": "2026-08-03T09:16:36.545523+08:00", "size": 7793, "snippet": "--awesome-agentic-devops.html\n\n最近 36 小时发布的高价值页面链接：\n\n- Harness Engineering \n https://abos-at.work/llm-wiki/ai--concepts--Harness-Engineering.html\n\n- External Agent Skills Design Patterns \n https://abos-at.work/llm-wiki/ai--concepts--External-Agent-Skills-Design-Patterns.html\n\n- Context Engineering \n https://abos-at.work/llm-wiki/ai--concepts--Context-Engineering.html\n\n- Agentic Coding \n https://abos-at.work/llm-wiki/ai--concepts--Agentic-Coding.html\n\n- Awesome Agentic DevOps \n https://abos-at.work/llm-wiki/ai--sources--awesome-agentic-devops.html\n\n- Claude Starter Kit \n https://abos-at.work/llm-wiki/ai--sources--claude-starter-kit.html\n\n- record-and-replay-skill \n https://abos-at.work/llm-wiki/ai--sources--record-and-replay-skill.html\n\n- ultracodex \n https://abos-at.work/llm-wiki/ai--sources--ultracodex.html\n\n### 异常 / 噪音 / 需要注意\n\n- 本次 3 个脚本均成功，无运行报错。\n- CVM 发布成功，并返回 HTTP/2 200。\n- 本轮新增内容高度集中在 AI agent / coding agent / skills / context engineering，finance、hr、product-design 没有明显新增。\n- AI 模块当前仍明显偏向 agentic coding 与 agent skill 方向，不是坏事，但后续需要防止过度围绕单一人物、单一工具或单一资料源；应继续按知识点价值组织。\n\n## 对 llm-wiki 的改进建议\n\n1. **增加一个“Agent 工程知识地图”入口页** \n 把 `Harness Engineering`、`Context Engineering`、`Agentic Coding`、`External Agent Skills Design Patterns` 串起来，形成从概念到实践的导航页，避免这些大页彼此孤立。\n\n2. **检查向量索引覆盖策略** \n 当前总文件 651、向量索引文档 329。建议后续确认哪些类型不入索引：raw 是否跳过、source 是否部分跳过、过大页面是否被过滤。若这是预期，应在 wiki 维护文档里写清楚。\n\n3. **继续降低 AI 模块单一来源风险** \n 本轮内容质量较高，但方向集中。建议知识雷达增加“非 agentic coding”的 AI 工程主题，例如评测体系、RAG 数据质量、模型部署成本、企业权限与审计、AI 产品设计模式，避免知识库被 coding-agent 主题过度占据。\n\n已完成本次要求的 digest、向量索引检查、CVM 同步发布与结果汇总；暂无被阻塞事项。" }, "human": { "purpose": "整理近期 AI/知识库探索结果，生成可阅读摘要并更新公网知识页。", "inputs": [ "llm-wiki 内容", "公网资料/搜索结果", "本地入库记录" ], "logic": "由 Agent 总结新增内容、发布状态和异常摘要。", "outputs": [ "飞书摘要", "llm-wiki 公网页面", "cron 输出" ], "owner_area": "藏书阁内容运营", "related_entry": "藏书阁", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/0c49d4bb5faa/2026-08-03_09-16-36.md" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "56f995671820", "name": "AI 知识雷达与 llm-wiki 自我优化 12:00", "enabled": true, "state": "scheduled", "schedule": "0 12 * * *", "deliver": null, "no_agent": false, "agent_involved": true, "skills": [], "script": null, "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T12:00:06.046305+08:00", "last_run_age": "7h 前", "next_run_at": "2026-08-04T12:00:00+08:00", "next_run_age": "-58011s 前", "repeat": { "times": null, "completed": 34 }, "category": "知识库/内容雷达", "tags": [ "优化/治理", "应汇报" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/56f995671820/2026-08-03_12-00-06.md", "mtime": "2026-08-03T12:00:06.043079+08:00", "size": 698, "snippet": "# Cron Job: AI 知识雷达与 llm-wiki 自我优化 12:00\n\n**Job ID:** 56f995671820\n**Run Time:** 2026-08-03 12:00:06\n**Schedule:** 0 12 * * *\n\n## Prompt\n\n[IMPORTANT: You are running as a scheduled cron job. DELIVERY: Your final response will be automatically delivered to the user — do NOT use send_message or try to deliver the output yourself. Just produce your report/output as your final response and the system handles the rest. SILENT: If there is genuinely nothing new to report, respond with exactly \"[SILENT]\" (nothing else) to suppress delivery. Never combine [SILENT] with content — either report your findings normally, or say [SILENT] and nothing more.]\n\n## Response\n\n[SILENT]" }, "human": { "purpose": "整理近期 AI/知识库探索结果，生成可阅读摘要并更新公网知识页。", "inputs": [ "llm-wiki 内容", "公网资料/搜索结果", "本地入库记录" ], "logic": "由 Agent 总结新增内容、发布状态和异常摘要。", "outputs": [ "飞书摘要", "llm-wiki 公网页面", "cron 输出" ], "owner_area": "藏书阁内容运营", "related_entry": "藏书阁", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/56f995671820/2026-08-03_12-00-06.md" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "6a576cbb29e1", "name": "定时任务合理性与负载/死锁巡检", "enabled": true, "state": "scheduled", "schedule": "30 11 * * 1", "deliver": "origin", "no_agent": false, "agent_involved": true, "skills": [ "hermes-agent" ], "script": null, "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T11:32:08.216069+08:00", "last_run_age": "8h 前", "next_run_at": "2026-08-10T11:30:00+08:00", "next_run_age": "-574611s 前", "repeat": { "times": null, "completed": 5 }, "category": "Hermes 自维护", "tags": [ "优化/治理", "应汇报" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/6a576cbb29e1/2026-08-03_11-32-06.md", "mtime": "2026-08-03T11:32:06.586087+08:00", "size": 72742, "snippet": "识雷达与 llm-wiki 自我优化 12:00`，agent/local\n - `40025af06ee9 / RMS线上发版/配置变更跟踪`，every 30m/no-agent，next run 也是 `12:00`\n - 风险判断：一个 agent + 一个 no-agent 同时跑，当前风险中等偏低；如果 12 点任务常做浏览器/网络操作，可能叠加负载。\n\n### 低\n- **cron output 目录 20MB，未失控但可清理**\n - 证据：`~/.hermes/cron/output` 总大小 `20M`。\n - 较大目录：\n - `ba78afa527b5`：`4.8M`，但任务已 paused。\n - `4866141ee5e3`：`4.3M`，周检输出单次约 `800-900K`。\n - 风险判断：磁盘风险低；主要是长期积累和审计噪音。\n\n- **lock 文件存在但未见残留死锁证据**\n - 证据：\n - `~/.hermes/cron/.tick.lock` 0B，mtime `11:30:57`\n - `~/.hermes/cron/.jobs.lock` 0B\n - `ticker_heartbeat` / `ticker_last_success` 均为 `11:30`\n - 判断：看起来是正常 tick 锁，不像陈旧残留锁。\n\n- **历史 Feishu 投递失败，近期未见新爆发**\n - 证据：gateway.log 中 7 月多次 `[230099] card table number over limit` 和 fallback failed；近期更多是 cron output preserved/chunking。\n - 判断：历史问题，不是本次即时风险；长表格输出仍应避免。\n\n## 建议动作\n1. **优先排查系统进程 `signpost_reporter` 高 CPU**：这不是 Hermes cron 直接问题，但已是当前 Mac mini 最大负载源；建议用户手动确认是否可重启该系统服务或重启机器窗口。\n2. **把 `c3dee1e0c958 / TMEOA 扫码恢复自动感知` 从 every 1m 调到 3-5m，或加入“已登录后退避到 10-30m”逻辑**；它现在静默但持续每分钟写文件。\n3. **错开 09:00 agent 任务**：建议把 `weekly skill radar` 从周一 09:00 改到 09:30 或 10:30，降低与 `AI 知识雷达`、`知识库早报` 的模型调用拥挤。\n4. **为 agent 型 cron 设置更保守的失败上限/超时策略**：尤其关注日志里的 `attempt */9999`，避免模型服务 503 时长时间占用 gateway worker。\n5. **检查 `83236dfdb31f / AI 知识雷达 09:00` 的脚本/工具调用**：近 3 天出现 90s/180s timeout，建议定位具体命令并加缓存、分页或更短超时。\n6. **保留当前 paused 的告警守望系列任务暂停状态**：这些 every 5m/10m/30m agent 型任务如果恢复，会显著增加负载和消息噪音；恢复前应先改成 no-agent 预筛选。\n7. **定期清理 cron output 老文件**：当前 20MB 不急，但可设置保留 30-60 天，避免审计目录持续膨胀。\n\n本次检查已覆盖 cron 清单、系统负载/进程、Hermes 日志关键词、cron 目录/lock/output、 高频与重叠任务；未执行任何修改/暂停/删除操作。当前未发现需要立即处理的 cron 死锁或递归 loop。" }, "human": { "purpose": "维护 Hermes 自身更新与本地补丁状态，降低工具链漂移风险。", "inputs": [ "Hermes repo/update 输出", "本地补丁状态" ], "logic": "定期运行更新/检查流程并记录结果。", "outputs": [ "更新日志", "cron 输出" ], "owner_area": "Hermes 自维护", "related_entry": "动力炉", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/6a576cbb29e1/2026-08-03_11-32-06.md", "skill:hermes-agent" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "4e1ac6dc2ff9", "name": "观澜台汇报总线发布", "enabled": true, "state": "scheduled", "schedule": "every 30m", "deliver": "local", "no_agent": true, "agent_involved": false, "skills": [], "script": "report_bus_publish.py", "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T19:23:06.697181+08:00", "last_run_age": "30m 前", "next_run_at": "2026-08-03T20:23:08.864850+08:00", "next_run_age": "-1799s 前", "repeat": { "times": null, "completed": 1570 }, "category": "其他", "tags": [ "优化/治理", "应汇报", "数据源/本地沉淀" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/4e1ac6dc2ff9/2026-08-03_19-23-06.md", "mtime": "2026-08-03T19:23:06.694289+08:00", "size": 772, "snippet": "# Cron Job: 观澜台汇报总线发布\n\n**Job ID:** 4e1ac6dc2ff9\n**Run Time:** 2026-08-03 19:23:06\n**Mode:** no_agent (script)\n\n---\n\n{\n \"ok\": true,\n \"blog_name\": \"观澜台\",\n \"local_html\": \"/tmp/hermes-report-bus/index.html\",\n \"public_url\": \"https://abos-at.work/cc-wechat/files/observatory/report-bus/index.html\",\n \"public_json_url\": \"https://abos-at.work/cc-wechat/files/observatory/report-bus/report-bus.json\",\n \"summary\": {\n \"total\": 22,\n \"enabled\": 17,\n \"disabled_or_completed\": 5,\n \"reportable_or_daily\": 13,\n \"local_sources\": 5,\n \"optimization_governance\": 9,\n \"errors_or_delivery_issues\": 0,\n \"categories\": {\n \"知识库/内容雷达\": 8,\n \"已完成/停用\": 5,\n \"Hermes 自维护\": 3,\n \"其他\": 6\n }\n }\n}" }, "human": { "purpose": "刷新观澜台汇报总线，把分散 cron 状态聚合成公网可读页面和 JSON。", "inputs": [ "~/.hermes/cron/jobs.json", "~/.hermes/cron/output/*" ], "logic": "读取 cron 配置和输出，分类、解释并发布 report-bus。", "outputs": [ "观澜台 index.html", "report-bus.json" ], "owner_area": "ABOS 页面治理", "related_entry": "观澜台", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/4e1ac6dc2ff9/2026-08-03_19-23-06.md", "report_bus_publish.py" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "a101e2378bae", "name": "繁星阁变更雷达与本地融合建议", "enabled": true, "state": "scheduled", "schedule": "0 18 * * 1,4", "deliver": "origin", "no_agent": false, "agent_involved": true, "skills": [ "hermes-agent", "skill-radar" ], "script": null, "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T18:02:01.503764+08:00", "last_run_age": "1h 前", "next_run_at": "2026-08-06T18:00:00+08:00", "next_run_age": "-252411s 前", "repeat": { "times": null, "completed": 10 }, "category": "知识库/内容雷达", "tags": [ "优化/治理", "应汇报" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/a101e2378bae/2026-08-03_18-02-01.md", "mtime": "2026-08-03T18:02:01.501365+08:00", "size": 76799, "snippet": " 列表/目录和必要的 SKILL.md 摘要；重点找“本地没有、但繁星阁有”的能力，以及“本地有但繁星阁实现更适合 TME/OA/CNB/OPD 场景”的能力。\n6. 绝不凭空编造文件或能力；所有具体能力必须有 CNB 仓库路径作为证据。\n\n每次执行步骤：\nA. 准备缓存仓库：如果 ~/.hermes/cache/fanxingge-ai-wiki/.git 存在则 git fetch/pull；否则 git clone https://cnb.tmeoa.com/kugoupay/ai/wiki ~/.hermes/cache/fanxingge-ai-wiki 。记录 HEAD commit。\nB. 读取 state.json 的 last_seen_commit；用 git diff --name-status last_seen_commit..HEAD 聚焦变更。如果没有 last_seen_commit，用 git log --since='30 days ago' --name-status 做初始扫描。\nC. 重点分析这些文件：**/SKILL.md、README.md、docs/**/*.md、references/**/*.md、scripts/**/*.py、*.sh、openspec/**。忽略 __pycache__、二进制、生成物、node_modules、.git。\nD. 对每个重要新增/变更能力提取：名称、仓库路径、解决什么问题、依赖/运行方式、相对本地的差异、融合建议。\nE. 对本地差异做分级：\n - P0 立刻可融合：轻量、CLI/云 API 优先、能改善 Hermes/Feishu/cron/report bus/wiki/OPD/告警守望。\n - P1 值得试点：有业务价值但需要凭证/少量适配。\n - P2 暂缓：本地已有替代、依赖重、本地 LLM/GPU/torch-heavy、或证据不足。\nF. 输出中文报告，结构固定：\n 1) 本期结论（一句话 + commit 范围）\n 2) 新增/变化能力清单（表格：能力、路径、用途、与本地不同、融合级别）\n 3) 特别值得融合进本地的 Top 5（给具体落地点：新建 skill / patch 现有 skill / 加脚本 / 加 cron / 写入 llm-wiki）\n 4) 暂不融合/仅观察\n 5) 下次跟踪点\n 6) 证据路径列表\nG. 写产物：\n - ~/.hermes/cron/output//fanxingge-review-YYYYMMDD-HHMM.md\n - ~/.hermes/cron/output//fanxingge-review-latest.md\n - ~/.hermes/cron/output//fanxingge-review-latest.json（包含 commit 范围、能力数组、融合建议数组）\n 如果不知道当前 job_id，可用环境变量 HERMES_CRON_JOB_ID；若没有，就创建 ~/.hermes/cron/output/fanxingge-review/。\nH. 运行 python3 ~/.hermes/scripts/report_bus_publish.py 刷新汇报总线/观澜台；如果失败，报告里明确失败原因和下一步。\nI. 更新 state.json 的 last_seen_commit 为本次 HEAD；如果本次运行中途失败，不要更新。\n\n报告风格：简洁、证据优先、不要 AI 味；不要只列文件名，要说清“这个能力能干什么、比本地多什么、是否值得融合”。\n\n## Response\n\n[SILENT]" }, "human": { "purpose": "整理近期 AI/知识库探索结果，生成可阅读摘要并更新公网知识页。", "inputs": [ "llm-wiki 内容", "公网资料/搜索结果", "本地入库记录" ], "logic": "由 Agent 总结新增内容、发布状态和异常摘要。", "outputs": [ "飞书摘要", "llm-wiki 公网页面", "cron 输出" ], "owner_area": "藏书阁内容运营", "related_entry": "藏书阁", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/a101e2378bae/2026-08-03_18-02-01.md", "skill:hermes-agent", "skill:skill-radar" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "ae8fb9e2d4ad", "name": "Hermes 长期记忆与偏好安全网备份", "enabled": true, "state": "scheduled", "schedule": "15 4 * * *", "deliver": "local", "no_agent": true, "agent_involved": false, "skills": [], "script": "backup-hermes-memory-safety-net.sh", "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T04:15:54.087112+08:00", "last_run_age": "15h 前", "next_run_at": "2026-08-04T04:15:00+08:00", "next_run_age": "-30111s 前", "repeat": { "times": null, "completed": 34 }, "category": "Hermes 自维护", "tags": [ "数据源/本地沉淀" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/ae8fb9e2d4ad/2026-08-03_04-15-54.md", "mtime": "2026-08-03T04:15:54.085417+08:00", "size": 178, "snippet": "# Cron Job: Hermes 长期记忆与偏好安全网备份\n\n**Job ID:** ae8fb9e2d4ad\n**Run Time:** 2026-08-03 04:15:54\n**Mode:** no_agent (script)\n**Status:** silent (empty output)" }, "human": { "purpose": "维护 Hermes 自身更新与本地补丁状态，降低工具链漂移风险。", "inputs": [ "Hermes repo/update 输出", "本地补丁状态" ], "logic": "定期运行更新/检查流程并记录结果。", "outputs": [ "更新日志", "cron 输出" ], "owner_area": "Hermes 自维护", "related_entry": "动力炉", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/ae8fb9e2d4ad/2026-08-03_04-15-54.md", "backup-hermes-memory-safety-net.sh" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "44b0aefb3208", "name": "定时刷新 tmeoa cookie", "enabled": true, "state": "scheduled", "schedule": "every 360m", "deliver": "origin", "no_agent": true, "agent_involved": false, "skills": [], "script": "tmeoa-cookie-refresh.py", "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T15:51:44.658841+08:00", "last_run_age": "4h 前", "next_run_at": "2026-08-03T21:51:44.658841+08:00", "next_run_age": "-7115s 前", "repeat": { "times": null, "completed": 131 }, "category": "其他", "tags": [], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/44b0aefb3208/2026-08-03_15-51-43.md", "mtime": "2026-08-03T15:51:43.732564+08:00", "size": 898, "snippet": "# Cron Job: 定时刷新 tmeoa cookie\n\n**Job ID:** 44b0aefb3208\n**Run Time:** 2026-08-03 15:51:43\n**Mode:** no_agent (script)\n\n---\n\n⚠️ TMEOA SSO 要求重新扫码\n\n访问 CNB 业务页时被重定向到 TME 企业统一登录页，说明服务端未接受当前浏览器会话；请扫描下面的二维码恢复。\n\n- 时间：2026-08-03T15:51:43+08:00\n- CDP：http://127.0.0.1:51074\n- Profile：/Users/zhengbokai/.tmeoa/browser-data\n- 当前页面：https://passport.tmeoa.com/authorize?appkey=2aa35fc77bb78336a550ead21910d497&client_id=2aa35fc77bb78336a550ead21910d497&redirect_uri=https%3A%2F%2Fcnb.tmeoa.com%2Foauth%2Fcallback&response_type=code&scope=user&state=9E1S2UEeeGREJFNipkcPlFMz1CSpVWclZEcSRlQtN0VxoVYwNlco1mMHRWduADMwgDO1UGMzUmM4MWZjFD\n- 登录二维码链接：https://abos-at.work/cc-wechat/files/tmeoa-login/sso-login-20260803-154839.html\n- 企微发送：链接消息成功" }, "human": { "purpose": "维护一个自动化任务，并把运行结果沉淀为可追溯证据。", "inputs": [ "Hermes cron 配置", "最近运行输出" ], "logic": "按 cron 配置运行脚本或 Agent prompt，并记录状态、错误和输出。", "outputs": [ "cron output", "观澜台 report-bus.json" ], "owner_area": "其他", "related_entry": "观澜台", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/44b0aefb3208/2026-08-03_15-51-43.md", "tmeoa-cookie-refresh.py" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "40025af06ee9", "name": "RMS线上发版/配置变更跟踪", "enabled": true, "state": "scheduled", "schedule": "every 30m", "deliver": "origin", "no_agent": true, "agent_involved": false, "skills": [], "script": "rms-release-watch.py", "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T19:49:45.570218+08:00", "last_run_age": "3m 前", "next_run_at": "2026-08-03T20:19:45.570218+08:00", "next_run_age": "-1596s 前", "repeat": { "times": null, "completed": 1463 }, "category": "其他", "tags": [], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/40025af06ee9/2026-08-03_19-49-45.md", "mtime": "2026-08-03T19:49:45.567293+08:00", "size": 169, "snippet": "# Cron Job: RMS线上发版/配置变更跟踪\n\n**Job ID:** 40025af06ee9\n**Run Time:** 2026-08-03 19:49:45\n**Mode:** no_agent (script)\n**Status:** silent (empty output)" }, "human": { "purpose": "维护一个自动化任务，并把运行结果沉淀为可追溯证据。", "inputs": [ "Hermes cron 配置", "最近运行输出" ], "logic": "按 cron 配置运行脚本或 Agent prompt，并记录状态、错误和输出。", "outputs": [ "cron output", "观澜台 report-bus.json" ], "owner_area": "其他", "related_entry": "观澜台", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/40025af06ee9/2026-08-03_19-49-45.md", "rms-release-watch.py" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "e353051ee8d9", "name": "publish-thread-specs-to-guanlan", "enabled": true, "state": "scheduled", "schedule": "*/15 * * * *", "deliver": "local", "no_agent": true, "agent_involved": false, "skills": [], "script": "publish-thread-specs.sh", "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T19:45:09.192485+08:00", "last_run_age": "7m 前", "next_run_at": "2026-08-03T20:00:00+08:00", "next_run_age": "-411s 前", "repeat": { "times": null, "completed": 3053 }, "category": "其他", "tags": [ "数据源/本地沉淀" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/e353051ee8d9/2026-08-03_19-45-09.md", "mtime": "2026-08-03T19:45:09.189763+08:00", "size": 289, "snippet": "# Cron Job: publish-thread-specs-to-guanlan\n\n**Job ID:** e353051ee8d9\n**Run Time:** 2026-08-03 19:45:09\n**Mode:** no_agent (script)\n\n---\n\n{\"url\": \"https://abos-at.work/thread/index.html\", \"snapshot\": \"/Users/zhengbokai/.hermes/thread_specs/.snapshots/thread_specs-20260803-194507.tar.gz\"}" }, "human": { "purpose": "发布或维护飞书会话 spec，让议事厅可恢复每段会话的目标、决策和任务。", "inputs": [ "~/.hermes/thread_specs", "ConversationSpec 文件" ], "logic": "渲染并发布 spec 索引与详情页。", "outputs": [ "/thread/ 页面", "manifest.json", "health.json" ], "owner_area": "议事厅", "related_entry": "议事厅", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/e353051ee8d9/2026-08-03_19-45-09.md", "publish-thread-specs.sh" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "b91ff4b01147", "name": "告警守望30分钟聚合分析（飞书摘要，不直推企微）", "enabled": false, "state": "paused", "schedule": "every 30m", "deliver": "origin", "no_agent": false, "agent_involved": true, "skills": [ "remote-service-admin-triage" ], "script": null, "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-07-04T07:46:47.864866+08:00", "last_run_age": "30d 前", "next_run_at": "2026-07-04T08:16:47.864866+08:00", "next_run_age": "30d 前", "repeat": { "times": null, "completed": 80 }, "category": "已完成/停用", "tags": [ "数据源/本地沉淀" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/b91ff4b01147/2026-07-04_07-46-47.md", "mtime": "2026-07-04T07:46:47.304686+08:00", "size": 15405, "snippet": "文件或脚本失败，要明确说明失败点和下一步，而不是假装无告警。\n\n## Response\n\n## 结论\n\n当前**不能判定“0 告警”**：告警守望的 AMC/OPD 采集源持续不可用，最近一次成功采集停在 **2026-07-04 02:22:31**，截至本次巡检约已形成 **5 小时 20 分钟以上盲区**。 \n近 60 分钟内新增的高价值问题主要是**巡检系统自身故障**，不是业务告警本身。\n\n## 重点问题\n\n1. **P1｜巡检系统自身故障：AMC/OPD 采集持续超时**\n - `collector_status=error`\n - `alert_data_status=UNKNOWN`\n - 最近多次运行均超时：\n - `opd_reader.py amc-alerts --pages 10 --rows 100 --output-limit 1000`\n - 超时阈值从 100s 到 160s 仍失败\n - 最近成功时间：`2026-07-04T02:22:31+08:00`\n - 当前状态明确是 **SOURCE_UNAVAILABLE / unknown_or_failed**，不能展示为绿色或 0 告警。\n\n2. **业务告警视角：最近有效数据已过期**\n - 最新可用快照仍是 `20260704_022230_amc.json`。\n - 该快照里曾有 P1 候选，包括：\n - VIP/广告超时数据上报监控：iOS、Android 两条\n - 充值后资产发放服务补单/对账修复数据 1 条\n - kgcron 歌手补充信息任务执行失败\n - kgmonitor 失败率异常\n - 但这些都是 **02:22 前后的旧数据**，本轮不能据此判断当前是否仍在发生。\n\n3. **重复噪声/自动恢复**\n - 当前近 60 分钟没有新的有效业务告警输入可做去重与恢复判断。\n - 旧快照中存在自动恢复和低信号 wxinform 类告警，已不应逐条转发。\n\n## 建议动作\n\n1. **优先恢复采集链路**\n - 刷新或重建 `tmeoa-reader / Chrome CDP` 浏览器上下文。\n - 先跑低负载探测：`amc-alerts --pages 1 --rows 20 --output-limit 50`。\n - 成功后再执行一次 watchdog dry-run，并补看 02:22 之后盲区内是否有 P0/P1。\n\n2. **把本次问题按“巡检系统自身故障”处理**\n - 这是符合企微少量直推条件的 SELF_FAILURE 类型。\n - 但不要把未分析的原始告警直推企微。\n\n3. **恢复后重点回溯**\n - 回溯 VIP/充值对账/任务失败/失败率异常相关指纹，确认是否持续、恢复或升级。\n - 若盲区内出现 P0、持续 P1 或多业务扩散，再单独升级通知。\n\n## 机制状态\n\n- 已确认配置：`routing.realtime_wecom_enabled=false`，实时任务当前是**只落盘、不直推企微**，符合机制要求。\n- `notifier_status=disabled_recorded_only`，历史候选通知被记录为 `realtime_wecom_disabled`，未直接推送。\n- 当前最大机制风险不是企微直推，而是 **采集源持续 UNKNOWN 导致监控盲区**。\n- 本轮检查已覆盖配置、状态文件、source health、最近 run summaries/errors、最近快照；未完成/阻塞项：**因 AMC/OPD 采集持续超时，无法判断 02:22 之后真实业务告警状态**。" }, "human": { "purpose": "检查告警守望采集链路和告警摘要，避免把采集失败误判为 0 告警。", "inputs": [ "OPD/AMC 告警源", "watchdog state", "健康检查脚本输出" ], "logic": "采集告警与健康信号，由 Agent 判断采集链路、噪音和高价值问题。", "outputs": [ "本地状态文件", "巡检摘要", "必要时飞书/企微提醒" ], "owner_area": "告警/监控巡检", "related_entry": "观澜台", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/b91ff4b01147/2026-07-04_07-46-47.md", "skill:remote-service-admin-triage" ], "failure_explanation": "", "next_recommendation": "已停用/完成；如无后续价值，可在动力炉中标记归档，避免干扰日常判断。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "c29f4708765b", "name": "repo 下所有 Git 仓库安全快进更新", "enabled": true, "state": "scheduled", "schedule": "30 4 * * *", "deliver": "origin", "no_agent": true, "agent_involved": false, "skills": [], "script": "repo-auto-ff-update.py", "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T04:32:32.292191+08:00", "last_run_age": "15h 前", "next_run_at": "2026-08-04T04:30:00+08:00", "next_run_age": "-31011s 前", "repeat": { "times": null, "completed": 23 }, "category": "其他", "tags": [ "优化/治理", "应汇报" ], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/c29f4708765b/2026-08-03_04-32-31.md", "mtime": "2026-08-03T04:32:31.675782+08:00", "size": 695, "snippet": "# Cron Job: repo 下所有 Git 仓库安全快进更新\n\n**Job ID:** c29f4708765b\n**Run Time:** 2026-08-03 04:32:31\n**Mode:** no_agent (script)\n\n---\n\n[2026-08-03 04:30:57] repo auto-update checked=33 changed=1 skipped=8 failed=0 dry_run=False\n\nCHANGED:\n- youth/docker/cli_proxy_api/CLIProxyAPI: fast-forwarded main d9460a8d->41fc5e13 (10 commits)\n\nSKIPPED:\n- ai/openclaw: no upstream for main\n- ai/openclaw-pm: no upstream for main\n- ai/openclaw-test: no upstream for main\n- pay/go_pay_service_kugou_com: dirty working tree\n- pay/pay-service.kugou.com: dirty working tree\n- pay/pay_service_iOS: dirty working tree\n- wechat-work: dirty working tree\n- youth/kugouvip_kugou_com: dirty working tree" }, "human": { "purpose": "维护 Hermes 自身更新与本地补丁状态，降低工具链漂移风险。", "inputs": [ "Hermes repo/update 输出", "本地补丁状态" ], "logic": "定期运行更新/检查流程并记录结果。", "outputs": [ "更新日志", "cron 输出" ], "owner_area": "Hermes 自维护", "related_entry": "动力炉", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/c29f4708765b/2026-08-03_04-32-31.md", "repo-auto-ff-update.py" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } }, { "id": "c3dee1e0c958", "name": "TMEOA 扫码恢复自动感知", "enabled": true, "state": "scheduled", "schedule": "every 1m", "deliver": "origin", "no_agent": true, "agent_involved": false, "skills": [], "script": "tmeoa-login-watch.py", "last_status": "ok", "last_error": null, "last_delivery_error": null, "last_run_at": "2026-08-03T19:52:08.780038+08:00", "last_run_age": "1m 前", "next_run_at": "2026-08-03T19:54:08.868967+08:00", "next_run_age": "-59s 前", "repeat": { "times": null, "completed": 15967 }, "category": "其他", "tags": [], "latest_output": { "path": "/Users/zhengbokai/.hermes/cron/output/c3dee1e0c958/2026-08-03_19-52-08.md", "mtime": "2026-08-03T19:52:08.777930+08:00", "size": 165, "snippet": "# Cron Job: TMEOA 扫码恢复自动感知\n\n**Job ID:** c3dee1e0c958\n**Run Time:** 2026-08-03 19:52:08\n**Mode:** no_agent (script)\n**Status:** silent (empty output)" }, "human": { "purpose": "维护一个自动化任务，并把运行结果沉淀为可追溯证据。", "inputs": [ "Hermes cron 配置", "最近运行输出" ], "logic": "按 cron 配置运行脚本或 Agent prompt，并记录状态、错误和输出。", "outputs": [ "cron output", "观澜台 report-bus.json" ], "owner_area": "其他", "related_entry": "观澜台", "evidence": [ "/Users/zhengbokai/.hermes/cron/output/c3dee1e0c958/2026-08-03_19-52-08.md", "tmeoa-login-watch.py" ], "failure_explanation": "", "next_recommendation": "无需动作；继续观察下一次运行。", "observability": { "score": 6, "score_total": 6, "checks": { "purpose": true, "inputs": true, "logic": true, "evidence": true, "recommendation": true, "relation": true } } } } ], "reportable_ids": [ "8df7a6f51586", "83236dfdb31f", "2c08fbba1510", "f85d82aa9345", "0c49d4bb5faa", "56f995671820", "6a576cbb29e1", "4e1ac6dc2ff9", "a101e2378bae", "44b0aefb3208", "40025af06ee9", "c29f4708765b", "c3dee1e0c958" ], "local_source_ids": [ "bfbbae9ed402", "4866141ee5e3", "4e1ac6dc2ff9", "ae8fb9e2d4ad", "e353051ee8d9" ], "optimization_ids": [ "4866141ee5e3", "83236dfdb31f", "2c08fbba1510", "f85d82aa9345", "56f995671820", "6a576cbb29e1", "4e1ac6dc2ff9", "a101e2378bae", "c29f4708765b" ], "error_ids": [] }