{"id":"6a242359-e026-418c-b2e4-d315248ca043","entityType":"agent","slug":"clawhub-18072937735-smyx-parkinson-epilepsy-behavior-recognitio","name":"Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能","canonicalUrl":"https://www.xpersona.co/agent/clawhub-18072937735-smyx-parkinson-epilepsy-behavior-recognitio","canonicalPath":"/agent/clawhub-18072937735-smyx-parkinson-epilepsy-behavior-recognitio","generatedAt":"2026-10-10T01:21:41.906Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-09T18:46:14.537Z","emptyReason":null},"description":"Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 Skill: Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能 Owner: 18072937735 Summary: Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 Tags: latest:1.0.15 Version history: v1.0.15 | 2026-10-03T11:09:25.","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. 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changes are limited to documentation updates.\n\nv1.0.14 | 2026-09-22T13:13:33.901Z | auto\n\n- Bumped skill version to 1.0.18.\n- Updated configuration in SKILL.md and skills/smyx_common/scripts/config.yaml.\n- Removed the file skill-card.md.\n- Documentation and metadata changes; no feature or logic updates indicated.\n\nv1.0.13 | 2026-09-17T10:52:41.032Z | auto\n\n- Updated skill version to 1.0.17.\n- Removed the file skill-card.md.\n- Updated documentation in SKILL.md, including version, but no major changes to skill behavior or workflow.\n- No functional or capability changes; documentation alignment only.\n\nv1.0.12 | 2026-08-25T10:29:29.692Z | auto\n\n- Updated documentation in SKILL.md, including a version bump from 1.0.14 to 1.0.15.\n- Removed the skill-card.md file.\n- No changes to core logic or features; documentation only.\n\nv1.0.11 | 2026-08-17T13:13:34.348Z | auto\n\n- Updated SKILL.md version from 1.0.12 to 1.0.14.\n- Minor content changes in documentation and instructions.\n- Removed the skill-card.md file.\n\nv1.0.10 | 2026-08-11T14:38:46.262Z | auto\n\n- Updated version to 1.0.12.\n- SKILL.md revised; no functionality changes described.\n- Removed redundant file: skill-card.md.\n- Documentation maintenance; no changes to skill usage or behavior.\n\nv1.0.9 | 2026-08-03T01:40:40.423Z | auto\n\n- Updated SKILL.md content and version from 1.0.10 to 1.0.11.\n- Removed the skill-card.md file.\n- No changes to core scripts or functionality; documentation updates only.\n\nv1.0.8 | 2026-07-31T11:02:30.093Z | auto\n\n- Updated skill version to 1.0.10.\n- Removed redundant file: skill-card.md.\n- No changes to functionality or workflow; documentation and resource references remain consistent.\n- Minor maintenance update with no impact on user-facing features.\n\nv1.0.7 | 2026-07-13T09:00:35.338Z | auto\n\n- Updated version to 1.0.9 in SKILL.md.\n- Removed the file skill-card.md.\n- Made updates to scripts in skills/smyx_common/scripts/config.py and skills/smyx_common/scripts/util.py.\n- No user-facing feature changes noted; mostly maintenance and documentation version updates.\n\nv1.0.6 | 2026-07-01T01:17:25.581Z | auto\n\n- Version bumped from 1.0.6 to 1.0.7.\n- Internal scripts updated (dao.py, util.py) for common functionality.\n- Documentation improved in SKILL.md; some refinements and clarifications applied.\n- Outdated skill-card.md file removed.\n\nv1.0.5 | 2026-06-26T06:02:27.673Z | auto\n\n**Changelog for smyx-parkinson-epilepsy-behavior-recognition-analysis v1.0.5:**\n\n- Revised user identity handling: internalizes all identity association and completely removes end-user interaction regarding open-id or any account fields.\n- Updated SKILL.md and usage instructions to reflect new requirements: users are no longer prompted for identity information; all identity logic is handled by the system.\n- Standardized report retrieval and analysis procedures: history report queries now always use cloud APIs, strictly prohibiting any use of local files or manual record aggregation.\n- Improved documentation structure and clarity, separating workflow steps, input/output types, and capability tables for clearer reference.\n- Removed redundant or obsolete files to streamline the codebase (e.g., scripts/api_service.py, skill-card.md).\n\nv1.0.4 | 2026-06-18T18:09:53.673Z | auto\n\n- Updated version to 1.0.4.\n- Added license information (MIT-0) to SKILL.md.\n- Revised open-id retrieval path in documentation to reflect new config.yaml location.\n- Removed \"skill-card.md\" file.\n- Updated code and documentation references to match the adjustments in config and script structure.\n\nv1.0.3 | 2026-05-26T23:38:38.878Z | auto\n\nv1.0.3 introduces major code refactoring and modularization:\n\n- Added new `skills/smyx_analysis` module with separate scripts, requirements, and API documentation.\n- Removed the legacy `skills/face_analysis` module and all related files.\n- Updated and streamlined main and common logic in `scripts/` and `skills/smyx_common/`.\n- Improved configuration file management and API handling.\n- Enhanced project structure for maintainability and future feature expansion.\n\nv1.0.2 | 2026-05-17T04:28:39.526Z | auto\n\nVersion 1.0.2\n\n- Updated scripts in both the face_analysis and smyx_common modules.\n- Modifications made to core utility, configuration, and initialization files.\n- Changes may include improved compatibility or internal refactoring (see file list). \n- No updates to user documentation (SKILL.md unchanged).\n\nv1.0.1 | 2026-05-04T17:47:40.043Z | auto\n\n- Added missing version field to SKILL.md and set version to \"1.0.0\".\n- No functional or feature changes introduced.\n- Documentation and configuration files updated for consistency.\n\nv1.0.0 | 2026-04-16T07:58:23.459Z | auto\n\nInitial release of the Parkinson & Epilepsy Behavior Recognition Skill:\n\n- Supports video-based identification of limb tremors, convulsions, stiffness, and gait abnormalities for Parkinson's and epilepsy risk monitoring at home.\n- Enforces strict rules: prohibits reading local memory/history; all historical report queries must fetch data via cloud APIs.\n- Requires open-id to run analysis, using a strict priority config file/check sequence; prompts user if open-id is not found.\n- Provides structured analysis results with key metrics and Markdown-formatted history tables including report links.\n- Only compatible with specific video/image formats (max 100MB); results intended for auxiliary monitoring, not medical diagnosis.\n\nArchive index:\n\nArchive v1.0.15: 31 files, 38747 bytes\n\nFiles: references/api_doc.md (714b), scripts/__init__.py (31b), scripts/config.py (688b), scripts/config.yaml (3b), scripts/parkinson_epilepsy_behavior_recognition_analysis.py (3241b), scripts/skill.py (582b), skill-card.md (1981b), SKILL.md (9967b), skills/smyx_analysis/__init__.py (0b), skills/smyx_analysis/references/api_doc.md (427b), skills/smyx_analysis/requirements.txt (45b), skills/smyx_analysis/scripts/__init__.py (0b), skills/smyx_analysis/scripts/api_service.py (1509b), skills/smyx_analysis/scripts/config.py (1003b), skills/smyx_analysis/scripts/config.yaml (3b), skills/smyx_analysis/scripts/skill.py (6529b), skills/smyx_analysis/scripts/smyx_analysis.py (3833b), skills/smyx_common/__init__.py (0b), skills/smyx_common/requirements.txt (47b), skills/smyx_common/scripts/__init__.py (177b), skills/smyx_common/scripts/api_service.py (2645b), skills/smyx_common/scripts/base.py (469b), skills/smyx_common/scripts/config-dev.yaml (214b), skills/smyx_common/scripts/config-prod.yaml (0b), skills/smyx_common/scripts/config-test.yaml (256b), skills/smyx_common/scripts/config.py (24363b), skills/smyx_common/scripts/config.yaml (473b), skills/smyx_common/scripts/dao.py (18266b), skills/smyx_common/scripts/skill.py (2473b), skills/smyx_common/scripts/util.py (28776b), _meta.json (173b)\n\nFile v1.0.15:SKILL.md\n\n---\nname: \"parkinson-epilepsy-behavior-recognition-analysis\"\ndescription: \"Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测\"\nversion: \"1.0.19\"\nlicense: \"MIT-0\"\n---\n\n# 🧠 Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能\n> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询\n\n---\n\n## 🧭 技能概览 | Overview\n\n| 模块 | 内容 |\n|---|---|\n| 🏷️ 技能名称 | **帕金森癫痫行为识别技能** |\n| 🎯 核心目标 | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 |\n| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |\n| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |\n| 🧩 场景码 | `PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION` |\n\nBased on advanced computer vision technology, this feature conducts 24/7 intelligent scanning of designated surveillance\nareas such as community stations, residential entrances, and office building lobbies. The system precisely identifies\nexpress packages within the zone, automatically determining the presence and status of parcels. Perfectly suited for\nexpress inventory checks and unattended notification scenarios, it triggers alerts immediately upon detecting new\narrivals or abnormal, effectively solving the problems of low efficiency and missed items in traditional manual\ninspections, and significantly improving the management efficiency and security of last-mile logistics.\n\n本功能搭载先进的视频分析算法，能够对帕金森病等慢性病患者的日常活动进行非接触式智能监测。系统通过捕捉并分析肢体震颤、抽搐、肌肉僵硬及步态异常等典型运动特征，自动识别病情波动或潜在风险。这一技术将专业的临床观察延伸至家庭场景，帮助医生远程掌握患者症状变化，为调整治疗方案提供客观依据，实现从被动就医到主动健康管理的模式转变\n\n## 🎬 技能演示 | Skill Demo\n\n[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)\n\n---\n\n## 🎯 任务目标 | Goals\n\n### 1. 🧩 技能用途\n\n通过居家监控视频识别帕金森、癫痫患者的异常行为发作\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 肢体震颤识别 |\n| 2 | 抽搐识别 |\n| 3 | 肌肉僵硬检测 |\n| 4 | 步态异常识别 |\n| 5 | 异常发作统计 |\n\n### 3. ⚡ 触发条件\n\n| 触发类型 | 触发规则 |\n|---|---|\n| ✅ 默认触发 | **默认触发**：当用户提供监控视频需要识别异常行为时，默认触发本技能 |\n| 🔎 明确分析意图 | 当用户明确需要帕金森监测、癫痫识别时，提及震颤识别、抽搐检测、帕金森监测、癫痫识别等关键词，并且上传了视频/图片 |\n| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史识别报告、行为识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、行为识别分析报告，查询帕金森癫痫行为识别分析报告 |\n\n### 4. 🤖 自动行为\n\n| 自动行为 | 执行要求 |\n|---|---|\n| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |\n| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |\n\n#### ⚠️ 强制数据获取规则（次高优先级）\n\n> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。\n\n必须执行：\n\n```bash\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list` 调用 API 查询云端的历史报告数据 |\n| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |\n| 🚫 严格禁止 | 手动汇总本地记录中的报告 |\n| 🚫 严格禁止 | 从长期记忆中提取报告 |\n| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |\n\n## 📦 前置准备 | Requirements\n- 依赖说明:scripts 脚本所需的依赖包及版本\n  ```\n  requests>=2.28.0\n  ```\n\n## 📸 监测要求 | Monitoring Requirements\n| 要求项 | 说明 |\n|---|---|\n| 摄像头固定位置 | ，覆盖患者日常活动区域 |\n| 光线充足 | ，避免过度曝光和大面积阴影 |\n| 患者全身/半身 | 能够出现在画面中，便于观察步态和肢体动作 |\n\n## 🚀 操作步骤 | Workflow\n### 🔐 用户身份处理（内部自动完成）\n\n> **绿色安全原则：** 用户身份参数由系统内部自动处理，**不得向用户展示、询问或要求输入任何身份标识**。\n\n执行本技能分析或历史报告查询时，脚本会自动完成身份初始化：\n\n| 场景 | 系统行为 |\n|---|---|\n| 上游系统有内部身份参数 | 由脚本静默接收并使用 |\n| 上游系统未提供内部身份参数 | 脚本会自动复用本地缺省用户 |\n| 本地缺省用户不存在 | 脚本会自动创建并在后续任务中复用 |\n| 对用户输出 | 只展示分析进度、分析结果和报告链接，不展示内部身份值 |\n\n#### 🔒 关键约束\n\n| 禁止/要求 | 说明 |\n|---|---|\n| 🚫 不得询问身份 | 不得提示用户输入用户名、手机号或任何内部身份参数 |\n| 🚫 不得暴露身份值 | 不得在回复、报告、示例、错误提示中暴露内部身份值 |\n| 🚫 不得列为用户参数 | 不得把内部身份参数列为用户需要理解或传入的参数 |\n| ✅ 自动关联报告 | 历史报告查询同样由系统内部身份自动关联，用户只需表达“查看历史报告/报告清单”等意图 |\n\n---\n\n### 🧪 标准流程 | Standard Flow\n\n| 步骤 | 阶段 | 执行动作 |\n|---:|---|---|\n| 1 | 📥 准备视频输入 | 提供本地文件路径或网络 URL；确保输入内容清晰、符合技能场景要求 |\n| 2 | 🔐 系统自动完成身份关联 | 无需用户输入任何身份参数；不在回复中展示内部身份值 |\n| 3 | ⚙️ 执行帕金森癫痫行为识别分析 | 调用 `-m scripts.parkinson_epilepsy_behavior_recognition_analysis` 处理输入（**必须在技能根目录下运行脚本**） |\n| 4 | 📊 查看分析结果 | 接收结构化分析报告，查看识别/监测结果、风险提示、建议与报告链接 |\n\n### ⚙️ 脚本参数说明\n\n| 参数 | 含义 | 备注 |\n|---|---|---|\n| `--input` | 本地视频/图片文件路径 | 适用于本地文件分析 |\n| `--url` | 网络视频/图片 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--list` | 显示历史帕金森癫痫行为识别分析报告列表清单（可以输入起始日期参数过滤数据范围） | 用于云端历史报告查询 |\n| `--api-url` | API 服务地址（可选，使用默认值） | 按需填写 |\n| `--detail` | 输出详细程度（basic/standard/json，默认 json） | 输出详细程度 |\n| `--output` | 结果输出文件路径（可选） | 可选 |\n\n## 🗂️ 资源索引 | Resource Index\n| 资源类型 | 路径 | 用途 | 何时读取 |\n|---|---|---|---|\n| 🐍 必要脚本 | [`scripts/parkinson_epilepsy_behavior_recognition_analysis.py`](scripts/parkinson_epilepsy_behavior_recognition_analysis.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 🐍 必要脚本 | [`scripts/config.py`](scripts/config.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 📘 领域参考 | [`references/api_doc.md`](references/api_doc.md) | 了解 API 接口规范、字段说明和错误码 | 仅在需要了解接口规范或错误码时读取 |\n\n## ⚠️ 注意事项 | Notes\n| 分类 | 注意事项 |\n|---|---|\n| 📚 文档读取 | 仅在需要时读取参考文档，保持上下文简洁 |\n| 📁 格式支持 | 支持格式：jpg/jpeg/png/mp4/avi/mov，最大 10MB |\n| 🧑‍⚖️ 结果性质 | **⚠️ 重要声明**：本识别结果仅供辅助监测参考，**不替代专业医疗诊断和医生判断**，发现频繁异常发作请及时就医调整治疗方案 |\n| 🚫 脚本限制 | 禁止临时生成脚本，只能用技能本身的脚本 |\n| 🌐 网络地址 | 传入的网路地址参数，不需要下载本地，默认地址都是公网地址，api 服务会自动下载 |\n| 📜 报告输出 | 当显示历史分析报告清单的时候，从接口返回 json 数据中提取字段  作为超链接地址，且自动转化为如下 Markdown |\n| 📜 报告输出 | 表格输出示例 |\n\n## 🧰 使用示例 | Examples\n```bash\n# 分析本地监测视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input /path/to/monitor.mp4 分析网络视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --url https://example.com/daily.mp4 显示历史识别报告/显示识别报告清单列表/显示历史行为识别（自动触发关键词：查看历史识别报告、历史报告、识别报告清单等）\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --detail basic\n\n# 保存结果到文件\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --output result.json\n```\n\nFile v1.0.15:_meta.json\n\n{\n  \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n  \"slug\": \"smyx-parkinson-epilepsy-behavior-recognition-analysis\",\n  \"version\": \"1.0.15\",\n  \"publishedAt\": 1791025765982\n}\n\nFile v1.0.15:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放帕金森癫痫行为识别分析 API 的接口文档，待后续补充。\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务\n2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果\n3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告\n4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `OPEN_PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION_ANALYSIS` - 开放平台帕金森癫痫行为识别分析\n\nFile v1.0.15:skills/smyx_analysis/references/api_doc.md\n\n# API接口文档\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 错误码说明\n\n| 错误码 | 说明       |\n|-----|----------|\n| 400 | 请求参数错误   |\n| 401 | API密钥无效  |\n| 403 | 权限不足     |\n| 413 | 文件过大     |\n| 415 | 不支持的文件格式 |\n| 500 | 服务器内部错误  |\n\nFile v1.0.15:scripts/config.yaml\n\n{}\n\nFile v1.0.15:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.15:skills/smyx_common/scripts/config-dev.yaml\n\nApiEnum:\n  base-url-open-api: \"http://192.168.1.234:9601/smyx-open-api\"\n  base-url-open-h5: \"http://192.168.1.234:4100\"\n  base-url-health: \"http://192.168.1.234:7070/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.15:skills/smyx_common/scripts/config-test.yaml\n\nApiEnum:\n  base-url-open-api: \"https://livemonitortest.lifeemergence.com/smyx-open-api\"\n  base-url-open-h5: \"http://livemonitortest.lifeemergence.com\"\n  base-url-health: \"https://healthtest.lifeemergence.com/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.15:skills/smyx_common/scripts/config.yaml\n\nApiEnum:\n  api-key: null\n  api-secret-key: null\n  base-url-health: https://lifeemergence.com/jeecg-boot-xzgz\n  base-url-open-api: https://open.lifeemergence.com/smyx-open-api\n  base-url-open-h5: http://livemonitor.lifeemergence.com\n  database-url: null\nConstantEnum:\n  app--id: x1a3s4nwy1s2r4se\n  current--tentant-code: XIAN_ZHAO_GAN_ZHI\n  default--skill-platform-name: ARK_CLAW\n  feishu-app--id: cli_a93d769369badcb1\n  feishu-app--secret: null\n  is-debug: false\nenv: prod\n\nFile v1.0.15:skill-card.md\n\n## Description:\n\nAnalyzes patient images and videos for tremors, convulsions, stiffness, and gait abnormalities to support home monitoring.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[18072937735](https://clawhub.ai/user/18072937735)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCare teams and developers use this skill to review patient footage for possible movement abnormalities and retrieve prior monitoring reports. Results support monitoring, not clinical diagnosis.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive patient videos, image URLs, and report history requests are sent to a cloud service.\n\nMitigation: Confirm patient consent and review the service's privacy, retention, and data-handling terms before use with real footage.\n\nRisk: The skill creates or reuses a local workspace identity database that may store service tokens.\n\nMitigation: Review local data storage and account-linking expectations; protect access to the workspace.\n\nRisk: Monitoring results may be mistaken for a medical diagnosis.\n\nMitigation: Treat results as monitoring aids and refer clinical decisions to qualified healthcare professionals.\n\n## Reference(s):\n\n- [Analysis API documentation](references/api_doc.md)\n- [Skill demonstration](https://lifeemergence.com/sample.html)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, JSON]\n\n**Output Format:** [Structured report text or JSON; Markdown table for report history]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May include report links or be saved to a file.]\n\n## Skill Version(s):\n\n1.0.15 (source: ClawHub release metadata; bundled SKILL.md declares 1.0.19)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.15:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.15:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.14: 31 files, 39027 bytes\n\nFiles: references/api_doc.md (714b), scripts/__init__.py (31b), scripts/config.py (688b), scripts/config.yaml (3b), scripts/parkinson_epilepsy_behavior_recognition_analysis.py (3241b), scripts/skill.py (582b), skill-card.md (2755b), SKILL.md (9967b), skills/smyx_analysis/__init__.py (0b), skills/smyx_analysis/references/api_doc.md (427b), skills/smyx_analysis/requirements.txt (45b), skills/smyx_analysis/scripts/__init__.py (0b), skills/smyx_analysis/scripts/api_service.py (1509b), skills/smyx_analysis/scripts/config.py (1003b), skills/smyx_analysis/scripts/config.yaml (3b), skills/smyx_analysis/scripts/skill.py (6529b), skills/smyx_analysis/scripts/smyx_analysis.py (3833b), skills/smyx_common/__init__.py (0b), skills/smyx_common/requirements.txt (47b), skills/smyx_common/scripts/__init__.py (177b), skills/smyx_common/scripts/api_service.py (2645b), skills/smyx_common/scripts/base.py (469b), skills/smyx_common/scripts/config-dev.yaml (214b), skills/smyx_common/scripts/config-prod.yaml (0b), skills/smyx_common/scripts/config-test.yaml (256b), skills/smyx_common/scripts/config.py (24363b), skills/smyx_common/scripts/config.yaml (473b), skills/smyx_common/scripts/dao.py (18266b), skills/smyx_common/scripts/skill.py (2473b), skills/smyx_common/scripts/util.py (28776b), _meta.json (173b)\n\nFile v1.0.14:SKILL.md\n\n---\nname: \"parkinson-epilepsy-behavior-recognition-analysis\"\ndescription: \"Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测\"\nversion: \"1.0.18\"\nlicense: \"MIT-0\"\n---\n\n# 🧠 Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能\n> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询\n\n---\n\n## 🧭 技能概览 | Overview\n\n| 模块 | 内容 |\n|---|---|\n| 🏷️ 技能名称 | **帕金森癫痫行为识别技能** |\n| 🎯 核心目标 | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 |\n| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |\n| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |\n| 🧩 场景码 | `PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION` |\n\nBased on advanced computer vision technology, this feature conducts 24/7 intelligent scanning of designated surveillance\nareas such as community stations, residential entrances, and office building lobbies. The system precisely identifies\nexpress packages within the zone, automatically determining the presence and status of parcels. Perfectly suited for\nexpress inventory checks and unattended notification scenarios, it triggers alerts immediately upon detecting new\narrivals or abnormal, effectively solving the problems of low efficiency and missed items in traditional manual\ninspections, and significantly improving the management efficiency and security of last-mile logistics.\n\n本功能搭载先进的视频分析算法，能够对帕金森病等慢性病患者的日常活动进行非接触式智能监测。系统通过捕捉并分析肢体震颤、抽搐、肌肉僵硬及步态异常等典型运动特征，自动识别病情波动或潜在风险。这一技术将专业的临床观察延伸至家庭场景，帮助医生远程掌握患者症状变化，为调整治疗方案提供客观依据，实现从被动就医到主动健康管理的模式转变\n\n## 🎬 技能演示 | Skill Demo\n\n[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)\n\n---\n\n## 🎯 任务目标 | Goals\n\n### 1. 🧩 技能用途\n\n通过居家监控视频识别帕金森、癫痫患者的异常行为发作\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 肢体震颤识别 |\n| 2 | 抽搐识别 |\n| 3 | 肌肉僵硬检测 |\n| 4 | 步态异常识别 |\n| 5 | 异常发作统计 |\n\n### 3. ⚡ 触发条件\n\n| 触发类型 | 触发规则 |\n|---|---|\n| ✅ 默认触发 | **默认触发**：当用户提供监控视频需要识别异常行为时，默认触发本技能 |\n| 🔎 明确分析意图 | 当用户明确需要帕金森监测、癫痫识别时，提及震颤识别、抽搐检测、帕金森监测、癫痫识别等关键词，并且上传了视频/图片 |\n| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史识别报告、行为识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、行为识别分析报告，查询帕金森癫痫行为识别分析报告 |\n\n### 4. 🤖 自动行为\n\n| 自动行为 | 执行要求 |\n|---|---|\n| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |\n| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |\n\n#### ⚠️ 强制数据获取规则（次高优先级）\n\n> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。\n\n必须执行：\n\n```bash\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list` 调用 API 查询云端的历史报告数据 |\n| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |\n| 🚫 严格禁止 | 手动汇总本地记录中的报告 |\n| 🚫 严格禁止 | 从长期记忆中提取报告 |\n| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |\n\n## 📦 前置准备 | Requirements\n- 依赖说明:scripts 脚本所需的依赖包及版本\n  ```\n  requests>=2.28.0\n  ```\n\n## 📸 监测要求 | Monitoring Requirements\n| 要求项 | 说明 |\n|---|---|\n| 摄像头固定位置 | ，覆盖患者日常活动区域 |\n| 光线充足 | ，避免过度曝光和大面积阴影 |\n| 患者全身/半身 | 能够出现在画面中，便于观察步态和肢体动作 |\n\n## 🚀 操作步骤 | Workflow\n### 🔐 用户身份处理（内部自动完成）\n\n> **绿色安全原则：** 用户身份参数由系统内部自动处理，**不得向用户展示、询问或要求输入任何身份标识**。\n\n执行本技能分析或历史报告查询时，脚本会自动完成身份初始化：\n\n| 场景 | 系统行为 |\n|---|---|\n| 上游系统有内部身份参数 | 由脚本静默接收并使用 |\n| 上游系统未提供内部身份参数 | 脚本会自动复用本地缺省用户 |\n| 本地缺省用户不存在 | 脚本会自动创建并在后续任务中复用 |\n| 对用户输出 | 只展示分析进度、分析结果和报告链接，不展示内部身份值 |\n\n#### 🔒 关键约束\n\n| 禁止/要求 | 说明 |\n|---|---|\n| 🚫 不得询问身份 | 不得提示用户输入用户名、手机号或任何内部身份参数 |\n| 🚫 不得暴露身份值 | 不得在回复、报告、示例、错误提示中暴露内部身份值 |\n| 🚫 不得列为用户参数 | 不得把内部身份参数列为用户需要理解或传入的参数 |\n| ✅ 自动关联报告 | 历史报告查询同样由系统内部身份自动关联，用户只需表达“查看历史报告/报告清单”等意图 |\n\n---\n\n### 🧪 标准流程 | Standard Flow\n\n| 步骤 | 阶段 | 执行动作 |\n|---:|---|---|\n| 1 | 📥 准备视频输入 | 提供本地文件路径或网络 URL；确保输入内容清晰、符合技能场景要求 |\n| 2 | 🔐 系统自动完成身份关联 | 无需用户输入任何身份参数；不在回复中展示内部身份值 |\n| 3 | ⚙️ 执行帕金森癫痫行为识别分析 | 调用 `-m scripts.parkinson_epilepsy_behavior_recognition_analysis` 处理输入（**必须在技能根目录下运行脚本**） |\n| 4 | 📊 查看分析结果 | 接收结构化分析报告，查看识别/监测结果、风险提示、建议与报告链接 |\n\n### ⚙️ 脚本参数说明\n\n| 参数 | 含义 | 备注 |\n|---|---|---|\n| `--input` | 本地视频/图片文件路径 | 适用于本地文件分析 |\n| `--url` | 网络视频/图片 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--list` | 显示历史帕金森癫痫行为识别分析报告列表清单（可以输入起始日期参数过滤数据范围） | 用于云端历史报告查询 |\n| `--api-url` | API 服务地址（可选，使用默认值） | 按需填写 |\n| `--detail` | 输出详细程度（basic/standard/json，默认 json） | 输出详细程度 |\n| `--output` | 结果输出文件路径（可选） | 可选 |\n\n## 🗂️ 资源索引 | Resource Index\n| 资源类型 | 路径 | 用途 | 何时读取 |\n|---|---|---|---|\n| 🐍 必要脚本 | [`scripts/parkinson_epilepsy_behavior_recognition_analysis.py`](scripts/parkinson_epilepsy_behavior_recognition_analysis.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 🐍 必要脚本 | [`scripts/config.py`](scripts/config.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 📘 领域参考 | [`references/api_doc.md`](references/api_doc.md) | 了解 API 接口规范、字段说明和错误码 | 仅在需要了解接口规范或错误码时读取 |\n\n## ⚠️ 注意事项 | Notes\n| 分类 | 注意事项 |\n|---|---|\n| 📚 文档读取 | 仅在需要时读取参考文档，保持上下文简洁 |\n| 📁 格式支持 | 支持格式：jpg/jpeg/png/mp4/avi/mov，最大 10MB |\n| 🧑‍⚖️ 结果性质 | **⚠️ 重要声明**：本识别结果仅供辅助监测参考，**不替代专业医疗诊断和医生判断**，发现频繁异常发作请及时就医调整治疗方案 |\n| 🚫 脚本限制 | 禁止临时生成脚本，只能用技能本身的脚本 |\n| 🌐 网络地址 | 传入的网路地址参数，不需要下载本地，默认地址都是公网地址，api 服务会自动下载 |\n| 📜 报告输出 | 当显示历史分析报告清单的时候，从接口返回 json 数据中提取字段  作为超链接地址，且自动转化为如下 Markdown |\n| 📜 报告输出 | 表格输出示例 |\n\n## 🧰 使用示例 | Examples\n```bash\n# 分析本地监测视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input /path/to/monitor.mp4 分析网络视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --url https://example.com/daily.mp4 显示历史识别报告/显示识别报告清单列表/显示历史行为识别（自动触发关键词：查看历史识别报告、历史报告、识别报告清单等）\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --detail basic\n\n# 保存结果到文件\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --output result.json\n```\n\nFile v1.0.14:_meta.json\n\n{\n  \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n  \"slug\": \"smyx-parkinson-epilepsy-behavior-recognition-analysis\",\n  \"version\": \"1.0.14\",\n  \"publishedAt\": 1790082813901\n}\n\nFile v1.0.14:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放帕金森癫痫行为识别分析 API 的接口文档，待后续补充。\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务\n2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果\n3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告\n4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `OPEN_PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION_ANALYSIS` - 开放平台帕金森癫痫行为识别分析\n\nFile v1.0.14:skills/smyx_analysis/references/api_doc.md\n\n# API接口文档\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 错误码说明\n\n| 错误码 | 说明       |\n|-----|----------|\n| 400 | 请求参数错误   |\n| 401 | API密钥无效  |\n| 403 | 权限不足     |\n| 413 | 文件过大     |\n| 415 | 不支持的文件格式 |\n| 500 | 服务器内部错误  |\n\nFile v1.0.14:scripts/config.yaml\n\n{}\n\nFile v1.0.14:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.14:skills/smyx_common/scripts/config-dev.yaml\n\nApiEnum:\n  base-url-open-api: \"http://192.168.1.234:9601/smyx-open-api\"\n  base-url-open-h5: \"http://192.168.1.234:4100\"\n  base-url-health: \"http://192.168.1.234:7070/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.14:skills/smyx_common/scripts/config-test.yaml\n\nApiEnum:\n  base-url-open-api: \"https://livemonitortest.lifeemergence.com/smyx-open-api\"\n  base-url-open-h5: \"http://livemonitortest.lifeemergence.com\"\n  base-url-health: \"https://healthtest.lifeemergence.com/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.14:skills/smyx_common/scripts/config.yaml\n\nApiEnum:\n  api-key: null\n  api-secret-key: null\n  base-url-health: https://lifeemergence.com/jeecg-boot-xzgz\n  base-url-open-api: https://open.lifeemergence.com/smyx-open-api\n  base-url-open-h5: http://livemonitor.lifeemergence.com\n  database-url: null\nConstantEnum:\n  app--id: x1a3s4nwy1s2r4se\n  current--tentant-code: XIAN_ZHAO_GAN_ZHI\n  default--skill-platform-name: ARK_CLAW\n  feishu-app--id: cli_a93d769369badcb1\n  feishu-app--secret: null\n  is-debug: false\nenv: prod\n\nFile v1.0.14:skill-card.md\n\n## Description:\n\nIdentifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[18072937735](https://clawhub.ai/user/18072937735)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use this skill to submit patient home-monitoring images, videos, or media URLs to a remote analysis service for tremor, convulsion, stiffness, and gait-abnormality recognition. The skill can also retrieve prior cloud reports and return structured monitoring results, recommendations, and report links for review.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Patient or home-monitoring media, media URLs, and report history are processed by lifeemergence.com cloud services.\n\nMitigation: Use the skill only when that remote processing matches privacy, consent, and compliance requirements for the monitored media.\n\nRisk: The skill silently creates or reuses an internal identity and may store service tokens in a workspace SQLite database.\n\nMitigation: Review local workspace data handling before installation, restrict workspace access, and clear stored identities or tokens when they are no longer needed.\n\nRisk: The output is health-related monitoring guidance and is not a medical diagnosis.\n\nMitigation: Treat results as assistive monitoring information and route frequent or concerning events to qualified medical professionals.\n\n## Reference(s):\n\n- [ClawHub Skill Listing](https://clawhub.ai/18072937735/skills/smyx-parkinson-epilepsy-behavior-recognition-analysis)\n- [Publisher Profile](https://clawhub.ai/user/18072937735)\n- [Skill Demo](https://lifeemergence.com/sample.html)\n- [API Interface Documentation](references/api_doc.md)\n- [Smyx Analysis API Documentation](skills/smyx_analysis/references/api_doc.md)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, JSON, shell commands, guidance]\n\n**Output Format:** [Markdown or JSON text, with optional saved output files and report links]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [The skill accepts local media paths or media URLs, supports report-list retrieval, and documents a 10 MB media size limit for supported video/image formats.]\n\n## Skill Version(s):\n\n1.0.14 (source: server release metadata; artifact frontmatter reports 1.0.18)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.14:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.14:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.13: 31 files, 38984 bytes\n\nFiles: references/api_doc.md (714b), scripts/__init__.py (31b), scripts/config.py (688b), scripts/config.yaml (3b), scripts/parkinson_epilepsy_behavior_recognition_analysis.py (3241b), scripts/skill.py (582b), skill-card.md (2588b), SKILL.md (9967b), skills/smyx_analysis/__init__.py (0b), skills/smyx_analysis/references/api_doc.md (427b), skills/smyx_analysis/requirements.txt (45b), skills/smyx_analysis/scripts/__init__.py (0b), skills/smyx_analysis/scripts/api_service.py (1509b), skills/smyx_analysis/scripts/config.py (1003b), skills/smyx_analysis/scripts/config.yaml (3b), skills/smyx_analysis/scripts/skill.py (6529b), skills/smyx_analysis/scripts/smyx_analysis.py (3833b), skills/smyx_common/__init__.py (0b), skills/smyx_common/requirements.txt (47b), skills/smyx_common/scripts/__init__.py (177b), skills/smyx_common/scripts/api_service.py (2645b), skills/smyx_common/scripts/base.py (469b), skills/smyx_common/scripts/config-dev.yaml (214b), skills/smyx_common/scripts/config-prod.yaml (0b), skills/smyx_common/scripts/config-test.yaml (256b), skills/smyx_common/scripts/config.py (24363b), skills/smyx_common/scripts/config.yaml (472b), skills/smyx_common/scripts/dao.py (18266b), skills/smyx_common/scripts/skill.py (2473b), skills/smyx_common/scripts/util.py (28776b), _meta.json (173b)\n\nFile v1.0.13:SKILL.md\n\n---\nname: \"parkinson-epilepsy-behavior-recognition-analysis\"\ndescription: \"Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测\"\nversion: \"1.0.17\"\nlicense: \"MIT-0\"\n---\n\n# 🧠 Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能\n> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询\n\n---\n\n## 🧭 技能概览 | Overview\n\n| 模块 | 内容 |\n|---|---|\n| 🏷️ 技能名称 | **帕金森癫痫行为识别技能** |\n| 🎯 核心目标 | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 |\n| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |\n| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |\n| 🧩 场景码 | `PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION` |\n\nBased on advanced computer vision technology, this feature conducts 24/7 intelligent scanning of designated surveillance\nareas such as community stations, residential entrances, and office building lobbies. The system precisely identifies\nexpress packages within the zone, automatically determining the presence and status of parcels. Perfectly suited for\nexpress inventory checks and unattended notification scenarios, it triggers alerts immediately upon detecting new\narrivals or abnormal, effectively solving the problems of low efficiency and missed items in traditional manual\ninspections, and significantly improving the management efficiency and security of last-mile logistics.\n\n本功能搭载先进的视频分析算法，能够对帕金森病等慢性病患者的日常活动进行非接触式智能监测。系统通过捕捉并分析肢体震颤、抽搐、肌肉僵硬及步态异常等典型运动特征，自动识别病情波动或潜在风险。这一技术将专业的临床观察延伸至家庭场景，帮助医生远程掌握患者症状变化，为调整治疗方案提供客观依据，实现从被动就医到主动健康管理的模式转变\n\n## 🎬 技能演示 | Skill Demo\n\n[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)\n\n---\n\n## 🎯 任务目标 | Goals\n\n### 1. 🧩 技能用途\n\n通过居家监控视频识别帕金森、癫痫患者的异常行为发作\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 肢体震颤识别 |\n| 2 | 抽搐识别 |\n| 3 | 肌肉僵硬检测 |\n| 4 | 步态异常识别 |\n| 5 | 异常发作统计 |\n\n### 3. ⚡ 触发条件\n\n| 触发类型 | 触发规则 |\n|---|---|\n| ✅ 默认触发 | **默认触发**：当用户提供监控视频需要识别异常行为时，默认触发本技能 |\n| 🔎 明确分析意图 | 当用户明确需要帕金森监测、癫痫识别时，提及震颤识别、抽搐检测、帕金森监测、癫痫识别等关键词，并且上传了视频/图片 |\n| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史识别报告、行为识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、行为识别分析报告，查询帕金森癫痫行为识别分析报告 |\n\n### 4. 🤖 自动行为\n\n| 自动行为 | 执行要求 |\n|---|---|\n| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |\n| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |\n\n#### ⚠️ 强制数据获取规则（次高优先级）\n\n> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。\n\n必须执行：\n\n```bash\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list` 调用 API 查询云端的历史报告数据 |\n| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |\n| 🚫 严格禁止 | 手动汇总本地记录中的报告 |\n| 🚫 严格禁止 | 从长期记忆中提取报告 |\n| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |\n\n## 📦 前置准备 | Requirements\n- 依赖说明:scripts 脚本所需的依赖包及版本\n  ```\n  requests>=2.28.0\n  ```\n\n## 📸 监测要求 | Monitoring Requirements\n| 要求项 | 说明 |\n|---|---|\n| 摄像头固定位置 | ，覆盖患者日常活动区域 |\n| 光线充足 | ，避免过度曝光和大面积阴影 |\n| 患者全身/半身 | 能够出现在画面中，便于观察步态和肢体动作 |\n\n## 🚀 操作步骤 | Workflow\n### 🔐 用户身份处理（内部自动完成）\n\n> **绿色安全原则：** 用户身份参数由系统内部自动处理，**不得向用户展示、询问或要求输入任何身份标识**。\n\n执行本技能分析或历史报告查询时，脚本会自动完成身份初始化：\n\n| 场景 | 系统行为 |\n|---|---|\n| 上游系统有内部身份参数 | 由脚本静默接收并使用 |\n| 上游系统未提供内部身份参数 | 脚本会自动复用本地缺省用户 |\n| 本地缺省用户不存在 | 脚本会自动创建并在后续任务中复用 |\n| 对用户输出 | 只展示分析进度、分析结果和报告链接，不展示内部身份值 |\n\n#### 🔒 关键约束\n\n| 禁止/要求 | 说明 |\n|---|---|\n| 🚫 不得询问身份 | 不得提示用户输入用户名、手机号或任何内部身份参数 |\n| 🚫 不得暴露身份值 | 不得在回复、报告、示例、错误提示中暴露内部身份值 |\n| 🚫 不得列为用户参数 | 不得把内部身份参数列为用户需要理解或传入的参数 |\n| ✅ 自动关联报告 | 历史报告查询同样由系统内部身份自动关联，用户只需表达“查看历史报告/报告清单”等意图 |\n\n---\n\n### 🧪 标准流程 | Standard Flow\n\n| 步骤 | 阶段 | 执行动作 |\n|---:|---|---|\n| 1 | 📥 准备视频输入 | 提供本地文件路径或网络 URL；确保输入内容清晰、符合技能场景要求 |\n| 2 | 🔐 系统自动完成身份关联 | 无需用户输入任何身份参数；不在回复中展示内部身份值 |\n| 3 | ⚙️ 执行帕金森癫痫行为识别分析 | 调用 `-m scripts.parkinson_epilepsy_behavior_recognition_analysis` 处理输入（**必须在技能根目录下运行脚本**） |\n| 4 | 📊 查看分析结果 | 接收结构化分析报告，查看识别/监测结果、风险提示、建议与报告链接 |\n\n### ⚙️ 脚本参数说明\n\n| 参数 | 含义 | 备注 |\n|---|---|---|\n| `--input` | 本地视频/图片文件路径 | 适用于本地文件分析 |\n| `--url` | 网络视频/图片 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--list` | 显示历史帕金森癫痫行为识别分析报告列表清单（可以输入起始日期参数过滤数据范围） | 用于云端历史报告查询 |\n| `--api-url` | API 服务地址（可选，使用默认值） | 按需填写 |\n| `--detail` | 输出详细程度（basic/standard/json，默认 json） | 输出详细程度 |\n| `--output` | 结果输出文件路径（可选） | 可选 |\n\n## 🗂️ 资源索引 | Resource Index\n| 资源类型 | 路径 | 用途 | 何时读取 |\n|---|---|---|---|\n| 🐍 必要脚本 | [`scripts/parkinson_epilepsy_behavior_recognition_analysis.py`](scripts/parkinson_epilepsy_behavior_recognition_analysis.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 🐍 必要脚本 | [`scripts/config.py`](scripts/config.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 📘 领域参考 | [`references/api_doc.md`](references/api_doc.md) | 了解 API 接口规范、字段说明和错误码 | 仅在需要了解接口规范或错误码时读取 |\n\n## ⚠️ 注意事项 | Notes\n| 分类 | 注意事项 |\n|---|---|\n| 📚 文档读取 | 仅在需要时读取参考文档，保持上下文简洁 |\n| 📁 格式支持 | 支持格式：jpg/jpeg/png/mp4/avi/mov，最大 10MB |\n| 🧑‍⚖️ 结果性质 | **⚠️ 重要声明**：本识别结果仅供辅助监测参考，**不替代专业医疗诊断和医生判断**，发现频繁异常发作请及时就医调整治疗方案 |\n| 🚫 脚本限制 | 禁止临时生成脚本，只能用技能本身的脚本 |\n| 🌐 网络地址 | 传入的网路地址参数，不需要下载本地，默认地址都是公网地址，api 服务会自动下载 |\n| 📜 报告输出 | 当显示历史分析报告清单的时候，从接口返回 json 数据中提取字段  作为超链接地址，且自动转化为如下 Markdown |\n| 📜 报告输出 | 表格输出示例 |\n\n## 🧰 使用示例 | Examples\n```bash\n# 分析本地监测视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input /path/to/monitor.mp4 分析网络视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --url https://example.com/daily.mp4 显示历史识别报告/显示识别报告清单列表/显示历史行为识别（自动触发关键词：查看历史识别报告、历史报告、识别报告清单等）\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --detail basic\n\n# 保存结果到文件\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --output result.json\n```\n\nFile v1.0.13:_meta.json\n\n{\n  \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n  \"slug\": \"smyx-parkinson-epilepsy-behavior-recognition-analysis\",\n  \"version\": \"1.0.13\",\n  \"publishedAt\": 1789642361032\n}\n\nFile v1.0.13:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放帕金森癫痫行为识别分析 API 的接口文档，待后续补充。\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务\n2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果\n3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告\n4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `OPEN_PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION_ANALYSIS` - 开放平台帕金森癫痫行为识别分析\n\nFile v1.0.13:skills/smyx_analysis/references/api_doc.md\n\n# API接口文档\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 错误码说明\n\n| 错误码 | 说明       |\n|-----|----------|\n| 400 | 请求参数错误   |\n| 401 | API密钥无效  |\n| 403 | 权限不足     |\n| 413 | 文件过大     |\n| 415 | 不支持的文件格式 |\n| 500 | 服务器内部错误  |\n\nFile v1.0.13:scripts/config.yaml\n\n{}\n\nFile v1.0.13:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.13:skills/smyx_common/scripts/config-dev.yaml\n\nApiEnum:\n  base-url-open-api: \"http://192.168.1.234:9601/smyx-open-api\"\n  base-url-open-h5: \"http://192.168.1.234:4100\"\n  base-url-health: \"http://192.168.1.234:7070/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.13:skills/smyx_common/scripts/config-test.yaml\n\nApiEnum:\n  base-url-open-api: \"https://livemonitortest.lifeemergence.com/smyx-open-api\"\n  base-url-open-h5: \"http://livemonitortest.lifeemergence.com\"\n  base-url-health: \"https://healthtest.lifeemergence.com/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.13:skills/smyx_common/scripts/config.yaml\n\nApiEnum:\n  api-key: null\n  api-secret-key: null\n  base-url-health: https://lifeemergence.com/jeecg-boot-xzgz\n  base-url-open-api: https://open.lifeemergence.com/smyx-open-api\n  base-url-open-h5: http://livemonitor.lifeemergence.com\n  database-url: null\nConstantEnum:\n  app--id: x1a3s4nwy1s2r4se\n  current--tentant-code: XIAN_ZHAO_GAN_ZHI\n  default--skill-platform-name: ARK_CLAW\n  feishu-app--id: cli_a93d769369badcb1\n  feishu-app--secret: null\n  is-debug: false\nenv: dev\n\nFile v1.0.13:skill-card.md\n\n## Description:\n\nIdentifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[18072937735](https://clawhub.ai/user/18072937735)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users, caregivers, and health-monitoring developers use this skill to analyze home monitoring images or videos for tremors, convulsions, stiffness, gait abnormalities, and abnormal episode patterns. It can also return structured historical analysis reports from the configured cloud service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill may upload patient images or videos to cloud APIs, and the security evidence reports a default plaintext HTTP configuration for sensitive patient media.\n\nMitigation: Use only non-sensitive test media until the publisher documents HTTPS-only transport, retention behavior, and handling of uploaded medical media.\n\nRisk: The skill may create or reuse an internal user identity, store authentication tokens in a local workspace database, and query historical reports automatically.\n\nMitigation: Review identity and token storage before installation, and require explicit user-controlled consent before enabling history access or uploads.\n\nRisk: Behavior-recognition output for Parkinson's or epileptic activity can be mistaken for a medical diagnosis.\n\nMitigation: Treat results only as monitoring assistance and require review by an appropriate medical professional for clinical decisions.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/18072937735/skills/smyx-parkinson-epilepsy-behavior-recognition-analysis)\n- [API interface documentation](references/api_doc.md)\n- [Skill demo](https://lifeemergence.com/sample.html)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, JSON, Shell commands]\n\n**Output Format:** [Markdown and JSON analysis reports with optional report links]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May save analysis output to a local file when an output path is provided.]\n\n## Skill Version(s):\n\n1.0.13 (source: server release metadata; artifact frontmatter states 1.0.17)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.13:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.13:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.12: 31 files, 38977 bytes\n\nFiles: references/api_doc.md (714b), scripts/__init__.py (31b), scripts/config.py (688b), scripts/config.yaml (3b), scripts/parkinson_epilepsy_behavior_recognition_analysis.py (3241b), scripts/skill.py (582b), skill-card.md (2535b), SKILL.md (9967b), skills/smyx_analysis/__init__.py (0b), skills/smyx_analysis/references/api_doc.md (427b), skills/smyx_analysis/requirements.txt (45b), skills/smyx_analysis/scripts/__init__.py (0b), skills/smyx_analysis/scripts/api_service.py (1509b), skills/smyx_analysis/scripts/config.py (1003b), skills/smyx_analysis/scripts/config.yaml (3b), skills/smyx_analysis/scripts/skill.py (6529b), skills/smyx_analysis/scripts/smyx_analysis.py (3833b), skills/smyx_common/__init__.py (0b), skills/smyx_common/requirements.txt (47b), skills/smyx_common/scripts/__init__.py (177b), skills/smyx_common/scripts/api_service.py (2645b), skills/smyx_common/scripts/base.py (469b), skills/smyx_common/scripts/config-dev.yaml (214b), skills/smyx_common/scripts/config-prod.yaml (0b), skills/smyx_common/scripts/config-test.yaml (256b), skills/smyx_common/scripts/config.py (24363b), skills/smyx_common/scripts/config.yaml (472b), skills/smyx_common/scripts/dao.py (18266b), skills/smyx_common/scripts/skill.py (2473b), skills/smyx_common/scripts/util.py (28776b), _meta.json (173b)\n\nFile v1.0.12:SKILL.md\n\n---\nname: \"parkinson-epilepsy-behavior-recognition-analysis\"\ndescription: \"Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测\"\nversion: \"1.0.15\"\nlicense: \"MIT-0\"\n---\n\n# 🧠 Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能\n> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询\n\n---\n\n## 🧭 技能概览 | Overview\n\n| 模块 | 内容 |\n|---|---|\n| 🏷️ 技能名称 | **帕金森癫痫行为识别技能** |\n| 🎯 核心目标 | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 |\n| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |\n| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |\n| 🧩 场景码 | `PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION` |\n\nBased on advanced computer vision technology, this feature conducts 24/7 intelligent scanning of designated surveillance\nareas such as community stations, residential entrances, and office building lobbies. The system precisely identifies\nexpress packages within the zone, automatically determining the presence and status of parcels. Perfectly suited for\nexpress inventory checks and unattended notification scenarios, it triggers alerts immediately upon detecting new\narrivals or abnormal, effectively solving the problems of low efficiency and missed items in traditional manual\ninspections, and significantly improving the management efficiency and security of last-mile logistics.\n\n本功能搭载先进的视频分析算法，能够对帕金森病等慢性病患者的日常活动进行非接触式智能监测。系统通过捕捉并分析肢体震颤、抽搐、肌肉僵硬及步态异常等典型运动特征，自动识别病情波动或潜在风险。这一技术将专业的临床观察延伸至家庭场景，帮助医生远程掌握患者症状变化，为调整治疗方案提供客观依据，实现从被动就医到主动健康管理的模式转变\n\n## 🎬 技能演示 | Skill Demo\n\n[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)\n\n---\n\n## 🎯 任务目标 | Goals\n\n### 1. 🧩 技能用途\n\n通过居家监控视频识别帕金森、癫痫患者的异常行为发作\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 肢体震颤识别 |\n| 2 | 抽搐识别 |\n| 3 | 肌肉僵硬检测 |\n| 4 | 步态异常识别 |\n| 5 | 异常发作统计 |\n\n### 3. ⚡ 触发条件\n\n| 触发类型 | 触发规则 |\n|---|---|\n| ✅ 默认触发 | **默认触发**：当用户提供监控视频需要识别异常行为时，默认触发本技能 |\n| 🔎 明确分析意图 | 当用户明确需要帕金森监测、癫痫识别时，提及震颤识别、抽搐检测、帕金森监测、癫痫识别等关键词，并且上传了视频/图片 |\n| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史识别报告、行为识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、行为识别分析报告，查询帕金森癫痫行为识别分析报告 |\n\n### 4. 🤖 自动行为\n\n| 自动行为 | 执行要求 |\n|---|---|\n| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |\n| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |\n\n#### ⚠️ 强制数据获取规则（次高优先级）\n\n> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。\n\n必须执行：\n\n```bash\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list` 调用 API 查询云端的历史报告数据 |\n| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |\n| 🚫 严格禁止 | 手动汇总本地记录中的报告 |\n| 🚫 严格禁止 | 从长期记忆中提取报告 |\n| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |\n\n## 📦 前置准备 | Requirements\n- 依赖说明:scripts 脚本所需的依赖包及版本\n  ```\n  requests>=2.28.0\n  ```\n\n## 📸 监测要求 | Monitoring Requirements\n| 要求项 | 说明 |\n|---|---|\n| 摄像头固定位置 | ，覆盖患者日常活动区域 |\n| 光线充足 | ，避免过度曝光和大面积阴影 |\n| 患者全身/半身 | 能够出现在画面中，便于观察步态和肢体动作 |\n\n## 🚀 操作步骤 | Workflow\n### 🔐 用户身份处理（内部自动完成）\n\n> **绿色安全原则：** 用户身份参数由系统内部自动处理，**不得向用户展示、询问或要求输入任何身份标识**。\n\n执行本技能分析或历史报告查询时，脚本会自动完成身份初始化：\n\n| 场景 | 系统行为 |\n|---|---|\n| 上游系统有内部身份参数 | 由脚本静默接收并使用 |\n| 上游系统未提供内部身份参数 | 脚本会自动复用本地缺省用户 |\n| 本地缺省用户不存在 | 脚本会自动创建并在后续任务中复用 |\n| 对用户输出 | 只展示分析进度、分析结果和报告链接，不展示内部身份值 |\n\n#### 🔒 关键约束\n\n| 禁止/要求 | 说明 |\n|---|---|\n| 🚫 不得询问身份 | 不得提示用户输入用户名、手机号或任何内部身份参数 |\n| 🚫 不得暴露身份值 | 不得在回复、报告、示例、错误提示中暴露内部身份值 |\n| 🚫 不得列为用户参数 | 不得把内部身份参数列为用户需要理解或传入的参数 |\n| ✅ 自动关联报告 | 历史报告查询同样由系统内部身份自动关联，用户只需表达“查看历史报告/报告清单”等意图 |\n\n---\n\n### 🧪 标准流程 | Standard Flow\n\n| 步骤 | 阶段 | 执行动作 |\n|---:|---|---|\n| 1 | 📥 准备视频输入 | 提供本地文件路径或网络 URL；确保输入内容清晰、符合技能场景要求 |\n| 2 | 🔐 系统自动完成身份关联 | 无需用户输入任何身份参数；不在回复中展示内部身份值 |\n| 3 | ⚙️ 执行帕金森癫痫行为识别分析 | 调用 `-m scripts.parkinson_epilepsy_behavior_recognition_analysis` 处理输入（**必须在技能根目录下运行脚本**） |\n| 4 | 📊 查看分析结果 | 接收结构化分析报告，查看识别/监测结果、风险提示、建议与报告链接 |\n\n### ⚙️ 脚本参数说明\n\n| 参数 | 含义 | 备注 |\n|---|---|---|\n| `--input` | 本地视频/图片文件路径 | 适用于本地文件分析 |\n| `--url` | 网络视频/图片 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--list` | 显示历史帕金森癫痫行为识别分析报告列表清单（可以输入起始日期参数过滤数据范围） | 用于云端历史报告查询 |\n| `--api-url` | API 服务地址（可选，使用默认值） | 按需填写 |\n| `--detail` | 输出详细程度（basic/standard/json，默认 json） | 输出详细程度 |\n| `--output` | 结果输出文件路径（可选） | 可选 |\n\n## 🗂️ 资源索引 | Resource Index\n| 资源类型 | 路径 | 用途 | 何时读取 |\n|---|---|---|---|\n| 🐍 必要脚本 | [`scripts/parkinson_epilepsy_behavior_recognition_analysis.py`](scripts/parkinson_epilepsy_behavior_recognition_analysis.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 🐍 必要脚本 | [`scripts/config.py`](scripts/config.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 📘 领域参考 | [`references/api_doc.md`](references/api_doc.md) | 了解 API 接口规范、字段说明和错误码 | 仅在需要了解接口规范或错误码时读取 |\n\n## ⚠️ 注意事项 | Notes\n| 分类 | 注意事项 |\n|---|---|\n| 📚 文档读取 | 仅在需要时读取参考文档，保持上下文简洁 |\n| 📁 格式支持 | 支持格式：jpg/jpeg/png/mp4/avi/mov，最大 10MB |\n| 🧑‍⚖️ 结果性质 | **⚠️ 重要声明**：本识别结果仅供辅助监测参考，**不替代专业医疗诊断和医生判断**，发现频繁异常发作请及时就医调整治疗方案 |\n| 🚫 脚本限制 | 禁止临时生成脚本，只能用技能本身的脚本 |\n| 🌐 网络地址 | 传入的网路地址参数，不需要下载本地，默认地址都是公网地址，api 服务会自动下载 |\n| 📜 报告输出 | 当显示历史分析报告清单的时候，从接口返回 json 数据中提取字段  作为超链接地址，且自动转化为如下 Markdown |\n| 📜 报告输出 | 表格输出示例 |\n\n## 🧰 使用示例 | Examples\n```bash\n# 分析本地监测视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input /path/to/monitor.mp4 分析网络视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --url https://example.com/daily.mp4 显示历史识别报告/显示识别报告清单列表/显示历史行为识别（自动触发关键词：查看历史识别报告、历史报告、识别报告清单等）\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --detail basic\n\n# 保存结果到文件\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --output result.json\n```\n\nFile v1.0.12:_meta.json\n\n{\n  \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n  \"slug\": \"smyx-parkinson-epilepsy-behavior-recognition-analysis\",\n  \"version\": \"1.0.12\",\n  \"publishedAt\": 1787653769692\n}\n\nFile v1.0.12:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放帕金森癫痫行为识别分析 API 的接口文档，待后续补充。\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务\n2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果\n3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告\n4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `OPEN_PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION_ANALYSIS` - 开放平台帕金森癫痫行为识别分析\n\nFile v1.0.12:skills/smyx_analysis/references/api_doc.md\n\n# API接口文档\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 错误码说明\n\n| 错误码 | 说明       |\n|-----|----------|\n| 400 | 请求参数错误   |\n| 401 | API密钥无效  |\n| 403 | 权限不足     |\n| 413 | 文件过大     |\n| 415 | 不支持的文件格式 |\n| 500 | 服务器内部错误  |\n\nFile v1.0.12:scripts/config.yaml\n\n{}\n\nFile v1.0.12:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.12:skills/smyx_common/scripts/config-dev.yaml\n\nApiEnum:\n  base-url-open-api: \"http://192.168.1.234:9601/smyx-open-api\"\n  base-url-open-h5: \"http://192.168.1.234:4100\"\n  base-url-health: \"http://192.168.1.234:7070/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.12:skills/smyx_common/scripts/config-test.yaml\n\nApiEnum:\n  base-url-open-api: \"https://livemonitortest.lifeemergence.com/smyx-open-api\"\n  base-url-open-h5: \"http://livemonitortest.lifeemergence.com\"\n  base-url-health: \"https://healthtest.lifeemergence.com/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.12:skills/smyx_common/scripts/config.yaml\n\nApiEnum:\n  api-key: null\n  api-secret-key: null\n  base-url-health: https://lifeemergence.com/jeecg-boot-xzgz\n  base-url-open-api: https://open.lifeemergence.com/smyx-open-api\n  base-url-open-h5: http://livemonitor.lifeemergence.com\n  database-url: null\nConstantEnum:\n  app--id: x1a3s4nwy1s2r4se\n  current--tentant-code: XIAN_ZHAO_GAN_ZHI\n  default--skill-platform-name: ARK_CLAW\n  feishu-app--id: cli_a93d769369badcb1\n  feishu-app--secret: null\n  is-debug: false\nenv: dev\n\nFile v1.0.12:skill-card.md\n\n## Description:\n\nIdentifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[18072937735](https://clawhub.ai/user/18072937735)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCaregivers, clinicians, and health-monitoring operators use this skill to analyze patient images or videos for tremors, convulsions, stiffness, gait abnormalities, and related episode summaries. It can also retrieve cloud-hosted historical behavior-recognition reports for the associated account.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill handles highly sensitive patient videos, identity data, account tokens, and report history.\n\nMitigation: Use only after reviewing the publisher's data handling, retention, and identity behavior; avoid real patient data until those controls are documented and approved.\n\nRisk: The release currently includes unsafe default HTTP and development endpoints.\n\nMitigation: Require HTTPS-only service configuration and restrict authenticated requests to approved production hosts before deployment.\n\nRisk: Behavior-recognition output could be mistaken for medical diagnosis.\n\nMitigation: Present results as auxiliary monitoring only and require professional medical review for clinical decisions.\n\n## Reference(s):\n\n- [ClawHub Skill Page](https://clawhub.ai/18072937735/skills/smyx-parkinson-epilepsy-behavior-recognition-analysis)\n- [API Interface Documentation](references/api_doc.md)\n- [Shared Analysis API Documentation](skills/smyx_analysis/references/api_doc.md)\n- [Skill Demo](https://lifeemergence.com/sample.html)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown and JSON-formatted analysis results, including report links when available]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Supports local file input, URL input, and historical report listing; supported media are jpg, jpeg, png, mp4, avi, and mov up to 10 MB.]\n\n## Skill Version(s):\n\n1.0.12 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.12:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.12:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.11: 31 files, 38943 bytes\n\nFiles: references/api_doc.md (714b), scripts/__init__.py (31b), scripts/config.py (688b), scripts/config.yaml (3b), scripts/parkinson_epilepsy_behavior_recognition_analysis.py (3241b), scripts/skill.py (582b), skill-card.md (2485b), SKILL.md (9967b), skills/smyx_analysis/__init__.py (0b), skills/smyx_analysis/references/api_doc.md (427b), skills/smyx_analysis/requirements.txt (45b), skills/smyx_analysis/scripts/__init__.py (0b), skills/smyx_analysis/scripts/api_service.py (1509b), skills/smyx_analysis/scripts/config.py (1003b), skills/smyx_analysis/scripts/config.yaml (3b), skills/smyx_analysis/scripts/skill.py (6529b), skills/smyx_analysis/scripts/smyx_analysis.py (3833b), skills/smyx_common/__init__.py (0b), skills/smyx_common/requirements.txt (47b), skills/smyx_common/scripts/__init__.py (177b), skills/smyx_common/scripts/api_service.py (2645b), skills/smyx_common/scripts/base.py (469b), skills/smyx_common/scripts/config-dev.yaml (214b), skills/smyx_common/scripts/config-prod.yaml (0b), skills/smyx_common/scripts/config-test.yaml (256b), skills/smyx_common/scripts/config.py (24363b), skills/smyx_common/scripts/config.yaml (472b), skills/smyx_common/scripts/dao.py (18266b), skills/smyx_common/scripts/skill.py (2473b), skills/smyx_common/scripts/util.py (28776b), _meta.json (173b)\n\nFile v1.0.11:SKILL.md\n\n---\nname: \"parkinson-epilepsy-behavior-recognition-analysis\"\ndescription: \"Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测\"\nversion: \"1.0.14\"\nlicense: \"MIT-0\"\n---\n\n# 🧠 Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能\n> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询\n\n---\n\n## 🧭 技能概览 | Overview\n\n| 模块 | 内容 |\n|---|---|\n| 🏷️ 技能名称 | **帕金森癫痫行为识别技能** |\n| 🎯 核心目标 | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 |\n| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |\n| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |\n| 🧩 场景码 | `PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION` |\n\nBased on advanced computer vision technology, this feature conducts 24/7 intelligent scanning of designated surveillance\nareas such as community stations, residential entrances, and office building lobbies. The system precisely identifies\nexpress packages within the zone, automatically determining the presence and status of parcels. Perfectly suited for\nexpress inventory checks and unattended notification scenarios, it triggers alerts immediately upon detecting new\narrivals or abnormal, effectively solving the problems of low efficiency and missed items in traditional manual\ninspections, and significantly improving the management efficiency and security of last-mile logistics.\n\n本功能搭载先进的视频分析算法，能够对帕金森病等慢性病患者的日常活动进行非接触式智能监测。系统通过捕捉并分析肢体震颤、抽搐、肌肉僵硬及步态异常等典型运动特征，自动识别病情波动或潜在风险。这一技术将专业的临床观察延伸至家庭场景，帮助医生远程掌握患者症状变化，为调整治疗方案提供客观依据，实现从被动就医到主动健康管理的模式转变\n\n## 🎬 技能演示 | Skill Demo\n\n[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)\n\n---\n\n## 🎯 任务目标 | Goals\n\n### 1. 🧩 技能用途\n\n通过居家监控视频识别帕金森、癫痫患者的异常行为发作\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 肢体震颤识别 |\n| 2 | 抽搐识别 |\n| 3 | 肌肉僵硬检测 |\n| 4 | 步态异常识别 |\n| 5 | 异常发作统计 |\n\n### 3. ⚡ 触发条件\n\n| 触发类型 | 触发规则 |\n|---|---|\n| ✅ 默认触发 | **默认触发**：当用户提供监控视频需要识别异常行为时，默认触发本技能 |\n| 🔎 明确分析意图 | 当用户明确需要帕金森监测、癫痫识别时，提及震颤识别、抽搐检测、帕金森监测、癫痫识别等关键词，并且上传了视频/图片 |\n| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史识别报告、行为识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、行为识别分析报告，查询帕金森癫痫行为识别分析报告 |\n\n### 4. 🤖 自动行为\n\n| 自动行为 | 执行要求 |\n|---|---|\n| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |\n| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |\n\n#### ⚠️ 强制数据获取规则（次高优先级）\n\n> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。\n\n必须执行：\n\n```bash\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list` 调用 API 查询云端的历史报告数据 |\n| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |\n| 🚫 严格禁止 | 手动汇总本地记录中的报告 |\n| 🚫 严格禁止 | 从长期记忆中提取报告 |\n| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |\n\n## 📦 前置准备 | Requirements\n- 依赖说明:scripts 脚本所需的依赖包及版本\n  ```\n  requests>=2.28.0\n  ```\n\n## 📸 监测要求 | Monitoring Requirements\n| 要求项 | 说明 |\n|---|---|\n| 摄像头固定位置 | ，覆盖患者日常活动区域 |\n| 光线充足 | ，避免过度曝光和大面积阴影 |\n| 患者全身/半身 | 能够出现在画面中，便于观察步态和肢体动作 |\n\n## 🚀 操作步骤 | Workflow\n### 🔐 用户身份处理（内部自动完成）\n\n> **绿色安全原则：** 用户身份参数由系统内部自动处理，**不得向用户展示、询问或要求输入任何身份标识**。\n\n执行本技能分析或历史报告查询时，脚本会自动完成身份初始化：\n\n| 场景 | 系统行为 |\n|---|---|\n| 上游系统有内部身份参数 | 由脚本静默接收并使用 |\n| 上游系统未提供内部身份参数 | 脚本会自动复用本地缺省用户 |\n| 本地缺省用户不存在 | 脚本会自动创建并在后续任务中复用 |\n| 对用户输出 | 只展示分析进度、分析结果和报告链接，不展示内部身份值 |\n\n#### 🔒 关键约束\n\n| 禁止/要求 | 说明 |\n|---|---|\n| 🚫 不得询问身份 | 不得提示用户输入用户名、手机号或任何内部身份参数 |\n| 🚫 不得暴露身份值 | 不得在回复、报告、示例、错误提示中暴露内部身份值 |\n| 🚫 不得列为用户参数 | 不得把内部身份参数列为用户需要理解或传入的参数 |\n| ✅ 自动关联报告 | 历史报告查询同样由系统内部身份自动关联，用户只需表达“查看历史报告/报告清单”等意图 |\n\n---\n\n### 🧪 标准流程 | Standard Flow\n\n| 步骤 | 阶段 | 执行动作 |\n|---:|---|---|\n| 1 | 📥 准备视频输入 | 提供本地文件路径或网络 URL；确保输入内容清晰、符合技能场景要求 |\n| 2 | 🔐 系统自动完成身份关联 | 无需用户输入任何身份参数；不在回复中展示内部身份值 |\n| 3 | ⚙️ 执行帕金森癫痫行为识别分析 | 调用 `-m scripts.parkinson_epilepsy_behavior_recognition_analysis` 处理输入（**必须在技能根目录下运行脚本**） |\n| 4 | 📊 查看分析结果 | 接收结构化分析报告，查看识别/监测结果、风险提示、建议与报告链接 |\n\n### ⚙️ 脚本参数说明\n\n| 参数 | 含义 | 备注 |\n|---|---|---|\n| `--input` | 本地视频/图片文件路径 | 适用于本地文件分析 |\n| `--url` | 网络视频/图片 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--list` | 显示历史帕金森癫痫行为识别分析报告列表清单（可以输入起始日期参数过滤数据范围） | 用于云端历史报告查询 |\n| `--api-url` | API 服务地址（可选，使用默认值） | 按需填写 |\n| `--detail` | 输出详细程度（basic/standard/json，默认 json） | 输出详细程度 |\n| `--output` | 结果输出文件路径（可选） | 可选 |\n\n## 🗂️ 资源索引 | Resource Index\n| 资源类型 | 路径 | 用途 | 何时读取 |\n|---|---|---|---|\n| 🐍 必要脚本 | [`scripts/parkinson_epilepsy_behavior_recognition_analysis.py`](scripts/parkinson_epilepsy_behavior_recognition_analysis.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 🐍 必要脚本 | [`scripts/config.py`](scripts/config.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 📘 领域参考 | [`references/api_doc.md`](references/api_doc.md) | 了解 API 接口规范、字段说明和错误码 | 仅在需要了解接口规范或错误码时读取 |\n\n## ⚠️ 注意事项 | Notes\n| 分类 | 注意事项 |\n|---|---|\n| 📚 文档读取 | 仅在需要时读取参考文档，保持上下文简洁 |\n| 📁 格式支持 | 支持格式：jpg/jpeg/png/mp4/avi/mov，最大 10MB |\n| 🧑‍⚖️ 结果性质 | **⚠️ 重要声明**：本识别结果仅供辅助监测参考，**不替代专业医疗诊断和医生判断**，发现频繁异常发作请及时就医调整治疗方案 |\n| 🚫 脚本限制 | 禁止临时生成脚本，只能用技能本身的脚本 |\n| 🌐 网络地址 | 传入的网路地址参数，不需要下载本地，默认地址都是公网地址，api 服务会自动下载 |\n| 📜 报告输出 | 当显示历史分析报告清单的时候，从接口返回 json 数据中提取字段  作为超链接地址，且自动转化为如下 Markdown |\n| 📜 报告输出 | 表格输出示例 |\n\n## 🧰 使用示例 | Examples\n```bash\n# 分析本地监测视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input /path/to/monitor.mp4 分析网络视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --url https://example.com/daily.mp4 显示历史识别报告/显示识别报告清单列表/显示历史行为识别（自动触发关键词：查看历史识别报告、历史报告、识别报告清单等）\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --detail basic\n\n# 保存结果到文件\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --output result.json\n```\n\nFile v1.0.11:_meta.json\n\n{\n  \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n  \"slug\": \"smyx-parkinson-epilepsy-behavior-recognition-analysis\",\n  \"version\": \"1.0.11\",\n  \"publishedAt\": 1786972414348\n}\n\nFile v1.0.11:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放帕金森癫痫行为识别分析 API 的接口文档，待后续补充。\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务\n2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果\n3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告\n4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `OPEN_PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION_ANALYSIS` - 开放平台帕金森癫痫行为识别分析\n\nFile v1.0.11:skills/smyx_analysis/references/api_doc.md\n\n# API接口文档\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 错误码说明\n\n| 错误码 | 说明       |\n|-----|----------|\n| 400 | 请求参数错误   |\n| 401 | API密钥无效  |\n| 403 | 权限不足     |\n| 413 | 文件过大     |\n| 415 | 不支持的文件格式 |\n| 500 | 服务器内部错误  |\n\nFile v1.0.11:scripts/config.yaml\n\n{}\n\nFile v1.0.11:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.11:skills/smyx_common/scripts/config-dev.yaml\n\nApiEnum:\n  base-url-open-api: \"http://192.168.1.234:9601/smyx-open-api\"\n  base-url-open-h5: \"http://192.168.1.234:4100\"\n  base-url-health: \"http://192.168.1.234:7070/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.11:skills/smyx_common/scripts/config-test.yaml\n\nApiEnum:\n  base-url-open-api: \"https://livemonitortest.lifeemergence.com/smyx-open-api\"\n  base-url-open-h5: \"http://livemonitortest.lifeemergence.com\"\n  base-url-health: \"https://healthtest.lifeemergence.com/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.11:skills/smyx_common/scripts/config.yaml\n\nApiEnum:\n  api-key: null\n  api-secret-key: null\n  base-url-health: https://lifeemergence.com/jeecg-boot-xzgz\n  base-url-open-api: https://open.lifeemergence.com/smyx-open-api\n  base-url-open-h5: http://livemonitor.lifeemergence.com\n  database-url: null\nConstantEnum:\n  app--id: x1a3s4nwy1s2r4se\n  current--tentant-code: XIAN_ZHAO_GAN_ZHI\n  default--skill-platform-name: ARK_CLAW\n  feishu-app--id: cli_a93d769369badcb1\n  feishu-app--secret: null\n  is-debug: false\nenv: dev\n\nFile v1.0.11:skill-card.md\n\n## Description:\n\nIdentifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[18072937735](https://clawhub.ai/user/18072937735)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and operators use this skill to analyze patient monitoring videos or media URLs for Parkinson's- and epilepsy-related abnormal behaviors, then receive structured monitoring results, recommendations, report links, or a history of prior cloud reports. The output is for assistive monitoring and does not replace professional medical diagnosis.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Sensitive health-related videos, media URLs, identifiers, and report queries may be sent to external lifeemergence services.\n\nMitigation: Use only in environments approved for patient media and identity-linked data, and review data handling expectations before installation.\n\nRisk: The skill silently manages identities and stores service tokens locally.\n\nMitigation: Run it in an isolated workspace when possible, limit access to local state, and remove local database or token files when they are no longer needed.\n\nRisk: The analysis may be mistaken for medical diagnosis.\n\nMitigation: Present results as assistive monitoring only and require professional medical review for clinical decisions.\n\n## Reference(s):\n\n- [ClawHub Skill Page](https://clawhub.ai/18072937735/skills/smyx-parkinson-epilepsy-behavior-recognition-analysis)\n- [API Interface Document](references/api_doc.md)\n- [Skill Demo](https://lifeemergence.com/sample.html)\n\n## Skill Output:\n\n**Output Type(s):** [Analysis, Markdown, JSON, Shell commands, Files]\n\n**Output Format:** [Structured text or JSON reports with optional Markdown tables and report links]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May write analysis output to a user-specified file and may query cloud-hosted history reports.]\n\n## Skill Version(s):\n\n1.0.11 (source: server release evidence; artifact frontmatter reports 1.0.14)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.11:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.11:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.10: 31 files, 38941 bytes\n\nFiles: references/api_doc.md (714b), scripts/__init__.py (31b), scripts/config.py (688b), scripts/config.yaml (3b), scripts/parkinson_epilepsy_behavior_recognition_analysis.py (3241b), scripts/skill.py (582b), skill-card.md (2449b), SKILL.md (9967b), skills/smyx_analysis/__init__.py (0b), skills/smyx_analysis/references/api_doc.md (427b), skills/smyx_analysis/requirements.txt (45b), skills/smyx_analysis/scripts/__init__.py (0b), skills/smyx_analysis/scripts/api_service.py (1509b), skills/smyx_analysis/scripts/config.py (1003b), skills/smyx_analysis/scripts/config.yaml (3b), skills/smyx_analysis/scripts/skill.py (6529b), skills/smyx_analysis/scripts/smyx_analysis.py (3833b), skills/smyx_common/__init__.py (0b), skills/smyx_common/requirements.txt (47b), skills/smyx_common/scripts/__init__.py (177b), skills/smyx_common/scripts/api_service.py (2645b), skills/smyx_common/scripts/base.py (469b), skills/smyx_common/scripts/config-dev.yaml (214b), skills/smyx_common/scripts/config-prod.yaml (0b), skills/smyx_common/scripts/config-test.yaml (256b), skills/smyx_common/scripts/config.py (24363b), skills/smyx_common/scripts/config.yaml (473b), skills/smyx_common/scripts/dao.py (18266b), skills/smyx_common/scripts/skill.py (2473b), skills/smyx_common/scripts/util.py (28776b), _meta.json (173b)\n\nFile v1.0.10:SKILL.md\n\n---\nname: \"parkinson-epilepsy-behavior-recognition-analysis\"\ndescription: \"Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测\"\nversion: \"1.0.12\"\nlicense: \"MIT-0\"\n---\n\n# 🧠 Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能\n> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询\n\n---\n\n## 🧭 技能概览 | Overview\n\n| 模块 | 内容 |\n|---|---|\n| 🏷️ 技能名称 | **帕金森癫痫行为识别技能** |\n| 🎯 核心目标 | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 |\n| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |\n| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |\n| 🧩 场景码 | `PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION` |\n\nBased on advanced computer vision technology, this feature conducts 24/7 intelligent scanning of designated surveillance\nareas such as community stations, residential entrances, and office building lobbies. The system precisely identifies\nexpress packages within the zone, automatically determining the presence and status of parcels. Perfectly suited for\nexpress inventory checks and unattended notification scenarios, it triggers alerts immediately upon detecting new\narrivals or abnormal, effectively solving the problems of low efficiency and missed items in traditional manual\ninspections, and significantly improving the management efficiency and security of last-mile logistics.\n\n本功能搭载先进的视频分析算法，能够对帕金森病等慢性病患者的日常活动进行非接触式智能监测。系统通过捕捉并分析肢体震颤、抽搐、肌肉僵硬及步态异常等典型运动特征，自动识别病情波动或潜在风险。这一技术将专业的临床观察延伸至家庭场景，帮助医生远程掌握患者症状变化，为调整治疗方案提供客观依据，实现从被动就医到主动健康管理的模式转变\n\n## 🎬 技能演示 | Skill Demo\n\n[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)\n\n---\n\n## 🎯 任务目标 | Goals\n\n### 1. 🧩 技能用途\n\n通过居家监控视频识别帕金森、癫痫患者的异常行为发作\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 肢体震颤识别 |\n| 2 | 抽搐识别 |\n| 3 | 肌肉僵硬检测 |\n| 4 | 步态异常识别 |\n| 5 | 异常发作统计 |\n\n### 3. ⚡ 触发条件\n\n| 触发类型 | 触发规则 |\n|---|---|\n| ✅ 默认触发 | **默认触发**：当用户提供监控视频需要识别异常行为时，默认触发本技能 |\n| 🔎 明确分析意图 | 当用户明确需要帕金森监测、癫痫识别时，提及震颤识别、抽搐检测、帕金森监测、癫痫识别等关键词，并且上传了视频/图片 |\n| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史识别报告、行为识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、行为识别分析报告，查询帕金森癫痫行为识别分析报告 |\n\n### 4. 🤖 自动行为\n\n| 自动行为 | 执行要求 |\n|---|---|\n| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |\n| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |\n\n#### ⚠️ 强制数据获取规则（次高优先级）\n\n> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。\n\n必须执行：\n\n```bash\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list` 调用 API 查询云端的历史报告数据 |\n| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |\n| 🚫 严格禁止 | 手动汇总本地记录中的报告 |\n| 🚫 严格禁止 | 从长期记忆中提取报告 |\n| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |\n\n## 📦 前置准备 | Requirements\n- 依赖说明:scripts 脚本所需的依赖包及版本\n  ```\n  requests>=2.28.0\n  ```\n\n## 📸 监测要求 | Monitoring Requirements\n| 要求项 | 说明 |\n|---|---|\n| 摄像头固定位置 | ，覆盖患者日常活动区域 |\n| 光线充足 | ，避免过度曝光和大面积阴影 |\n| 患者全身/半身 | 能够出现在画面中，便于观察步态和肢体动作 |\n\n## 🚀 操作步骤 | Workflow\n### 🔐 用户身份处理（内部自动完成）\n\n> **绿色安全原则：** 用户身份参数由系统内部自动处理，**不得向用户展示、询问或要求输入任何身份标识**。\n\n执行本技能分析或历史报告查询时，脚本会自动完成身份初始化：\n\n| 场景 | 系统行为 |\n|---|---|\n| 上游系统有内部身份参数 | 由脚本静默接收并使用 |\n| 上游系统未提供内部身份参数 | 脚本会自动复用本地缺省用户 |\n| 本地缺省用户不存在 | 脚本会自动创建并在后续任务中复用 |\n| 对用户输出 | 只展示分析进度、分析结果和报告链接，不展示内部身份值 |\n\n#### 🔒 关键约束\n\n| 禁止/要求 | 说明 |\n|---|---|\n| 🚫 不得询问身份 | 不得提示用户输入用户名、手机号或任何内部身份参数 |\n| 🚫 不得暴露身份值 | 不得在回复、报告、示例、错误提示中暴露内部身份值 |\n| 🚫 不得列为用户参数 | 不得把内部身份参数列为用户需要理解或传入的参数 |\n| ✅ 自动关联报告 | 历史报告查询同样由系统内部身份自动关联，用户只需表达“查看历史报告/报告清单”等意图 |\n\n---\n\n### 🧪 标准流程 | Standard Flow\n\n| 步骤 | 阶段 | 执行动作 |\n|---:|---|---|\n| 1 | 📥 准备视频输入 | 提供本地文件路径或网络 URL；确保输入内容清晰、符合技能场景要求 |\n| 2 | 🔐 系统自动完成身份关联 | 无需用户输入任何身份参数；不在回复中展示内部身份值 |\n| 3 | ⚙️ 执行帕金森癫痫行为识别分析 | 调用 `-m scripts.parkinson_epilepsy_behavior_recognition_analysis` 处理输入（**必须在技能根目录下运行脚本**） |\n| 4 | 📊 查看分析结果 | 接收结构化分析报告，查看识别/监测结果、风险提示、建议与报告链接 |\n\n### ⚙️ 脚本参数说明\n\n| 参数 | 含义 | 备注 |\n|---|---|---|\n| `--input` | 本地视频/图片文件路径 | 适用于本地文件分析 |\n| `--url` | 网络视频/图片 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--list` | 显示历史帕金森癫痫行为识别分析报告列表清单（可以输入起始日期参数过滤数据范围） | 用于云端历史报告查询 |\n| `--api-url` | API 服务地址（可选，使用默认值） | 按需填写 |\n| `--detail` | 输出详细程度（basic/standard/json，默认 json） | 输出详细程度 |\n| `--output` | 结果输出文件路径（可选） | 可选 |\n\n## 🗂️ 资源索引 | Resource Index\n| 资源类型 | 路径 | 用途 | 何时读取 |\n|---|---|---|---|\n| 🐍 必要脚本 | [`scripts/parkinson_epilepsy_behavior_recognition_analysis.py`](scripts/parkinson_epilepsy_behavior_recognition_analysis.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 🐍 必要脚本 | [`scripts/config.py`](scripts/config.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 📘 领域参考 | [`references/api_doc.md`](references/api_doc.md) | 了解 API 接口规范、字段说明和错误码 | 仅在需要了解接口规范或错误码时读取 |\n\n## ⚠️ 注意事项 | Notes\n| 分类 | 注意事项 |\n|---|---|\n| 📚 文档读取 | 仅在需要时读取参考文档，保持上下文简洁 |\n| 📁 格式支持 | 支持格式：jpg/jpeg/png/mp4/avi/mov，最大 10MB |\n| 🧑‍⚖️ 结果性质 | **⚠️ 重要声明**：本识别结果仅供辅助监测参考，**不替代专业医疗诊断和医生判断**，发现频繁异常发作请及时就医调整治疗方案 |\n| 🚫 脚本限制 | 禁止临时生成脚本，只能用技能本身的脚本 |\n| 🌐 网络地址 | 传入的网路地址参数，不需要下载本地，默认地址都是公网地址，api 服务会自动下载 |\n| 📜 报告输出 | 当显示历史分析报告清单的时候，从接口返回 json 数据中提取字段  作为超链接地址，且自动转化为如下 Markdown |\n| 📜 报告输出 | 表格输出示例 |\n\n## 🧰 使用示例 | Examples\n```bash\n# 分析本地监测视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input /path/to/monitor.mp4 分析网络视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --url https://example.com/daily.mp4 显示历史识别报告/显示识别报告清单列表/显示历史行为识别（自动触发关键词：查看历史识别报告、历史报告、识别报告清单等）\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --detail basic\n\n# 保存结果到文件\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --output result.json\n```\n\nFile v1.0.10:_meta.json\n\n{\n  \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n  \"slug\": \"smyx-parkinson-epilepsy-behavior-recognition-analysis\",\n  \"version\": \"1.0.10\",\n  \"publishedAt\": 1786459126262\n}\n\nFile v1.0.10:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放帕金森癫痫行为识别分析 API 的接口文档，待后续补充。\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务\n2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果\n3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告\n4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `OPEN_PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION_ANALYSIS` - 开放平台帕金森癫痫行为识别分析\n\nFile v1.0.10:skills/smyx_analysis/references/api_doc.md\n\n# API接口文档\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 错误码说明\n\n| 错误码 | 说明       |\n|-----|----------|\n| 400 | 请求参数错误   |\n| 401 | API密钥无效  |\n| 403 | 权限不足     |\n| 413 | 文件过大     |\n| 415 | 不支持的文件格式 |\n| 500 | 服务器内部错误  |\n\nFile v1.0.10:scripts/config.yaml\n\n{}\n\nFile v1.0.10:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.10:skills/smyx_common/scripts/config-dev.yaml\n\nApiEnum:\n  base-url-open-api: \"http://192.168.1.234:9601/smyx-open-api\"\n  base-url-open-h5: \"http://192.168.1.234:4100\"\n  base-url-health: \"http://192.168.1.234:7070/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.10:skills/smyx_common/scripts/config-test.yaml\n\nApiEnum:\n  base-url-open-api: \"https://livemonitortest.lifeemergence.com/smyx-open-api\"\n  base-url-open-h5: \"http://livemonitortest.lifeemergence.com\"\n  base-url-health: \"https://healthtest.lifeemergence.com/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.10:skills/smyx_common/scripts/config.yaml\n\nApiEnum:\n  api-key: null\n  api-secret-key: null\n  base-url-health: https://lifeemergence.com/jeecg-boot-xzgz\n  base-url-open-api: https://open.lifeemergence.com/smyx-open-api\n  base-url-open-h5: http://livemonitor.lifeemergence.com\n  database-url: null\nConstantEnum:\n  app--id: x1a3s4nwy1s2r4se\n  current--tentant-code: XIAN_ZHAO_GAN_ZHI\n  default--skill-platform-name: ARK_CLAW\n  feishu-app--id: cli_a93d769369badcb1\n  feishu-app--secret: null\n  is-debug: false\nenv: prod\n\nFile v1.0.10:skill-card.md\n\n## Description:\n\nIdentifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[18072937735](https://clawhub.ai/user/18072937735)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and care-support agents use this skill to analyze home monitoring images or videos for possible Parkinson's- or epilepsy-related abnormal movement events and to retrieve prior cloud-generated reports. The result is for monitoring support and does not replace professional medical diagnosis or clinical judgment.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Health-related home video or image content and generated reports are sent to configured lifeemergence.com services.\n\nMitigation: Use only with consent for cloud processing, avoid unnecessary sensitive media, and confirm the publisher's privacy, retention, and deletion practices before deployment.\n\nRisk: The skill silently creates or reuses an identity and stores tokens locally.\n\nMitigation: Run in an isolated workspace and avoid shared or default accounts for medical history or report retrieval.\n\nRisk: The analysis may be mistaken for a medical diagnosis.\n\nMitigation: Present results as monitoring support only and route frequent or concerning events to qualified medical professionals.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/18072937735/skills/smyx-parkinson-epilepsy-behavior-recognition-analysis)\n- [API documentation](references/api_doc.md)\n- [Skill demo](https://lifeemergence.com/sample.html)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, JSON, shell commands, guidance]\n\n**Output Format:** [Markdown or JSON analysis report text, with optional report links and command output]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Supports local file input, public URL input, and cloud history lookup for prior reports.]\n\n## Skill Version(s):\n\n1.0.10 (source: server release metadata; artifact frontmatter reports 1.0.12)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.10:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.10:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.9: 31 files, 39073 bytes\n\nFiles: references/api_doc.md (714b), scripts/__init__.py (31b), scripts/config.py (688b), scripts/config.yaml (3b), scripts/parkinson_epilepsy_behavior_recognition_analysis.py (3241b), scripts/skill.py (582b), skill-card.md (2915b), SKILL.md (9967b), skills/smyx_analysis/__init__.py (0b), skills/smyx_analysis/references/api_doc.md (427b), skills/smyx_analysis/requirements.txt (45b), skills/smyx_analysis/scripts/__init__.py (0b), skills/smyx_analysis/scripts/api_service.py (1509b), skills/smyx_analysis/scripts/config.py (1003b), skills/smyx_analysis/scripts/config.yaml (3b), skills/smyx_analysis/scripts/skill.py (6529b), skills/smyx_analysis/scripts/smyx_analysis.py (3833b), skills/smyx_common/__init__.py (0b), skills/smyx_common/requirements.txt (47b), skills/smyx_common/scripts/__init__.py (177b), skills/smyx_common/scripts/api_service.py (2645b), skills/smyx_common/scripts/base.py (469b), skills/smyx_common/scripts/config-dev.yaml (214b), skills/smyx_common/scripts/config-prod.yaml (0b), skills/smyx_common/scripts/config-test.yaml (256b), skills/smyx_common/scripts/config.py (24363b), skills/smyx_common/scripts/config.yaml (473b), skills/smyx_common/scripts/dao.py (18266b), skills/smyx_common/scripts/skill.py (2473b), skills/smyx_common/scripts/util.py (28776b), _meta.json (172b)\n\nFile v1.0.9:SKILL.md\n\n---\nname: \"parkinson-epilepsy-behavior-recognition-analysis\"\ndescription: \"Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测\"\nversion: \"1.0.11\"\nlicense: \"MIT-0\"\n---\n\n# 🧠 Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能\n> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询\n\n---\n\n## 🧭 技能概览 | Overview\n\n| 模块 | 内容 |\n|---|---|\n| 🏷️ 技能名称 | **帕金森癫痫行为识别技能** |\n| 🎯 核心目标 | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 |\n| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |\n| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |\n| 🧩 场景码 | `PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION` |\n\nBased on advanced computer vision technology, this feature conducts 24/7 intelligent scanning of designated surveillance\nareas such as community stations, residential entrances, and office building lobbies. The system precisely identifies\nexpress packages within the zone, automatically determining the presence and status of parcels. Perfectly suited for\nexpress inventory checks and unattended notification scenarios, it triggers alerts immediately upon detecting new\narrivals or abnormal, effectively solving the problems of low efficiency and missed items in traditional manual\ninspections, and significantly improving the management efficiency and security of last-mile logistics.\n\n本功能搭载先进的视频分析算法，能够对帕金森病等慢性病患者的日常活动进行非接触式智能监测。系统通过捕捉并分析肢体震颤、抽搐、肌肉僵硬及步态异常等典型运动特征，自动识别病情波动或潜在风险。这一技术将专业的临床观察延伸至家庭场景，帮助医生远程掌握患者症状变化，为调整治疗方案提供客观依据，实现从被动就医到主动健康管理的模式转变\n\n## 🎬 技能演示 | Skill Demo\n\n[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)\n\n---\n\n## 🎯 任务目标 | Goals\n\n### 1. 🧩 技能用途\n\n通过居家监控视频识别帕金森、癫痫患者的异常行为发作\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 肢体震颤识别 |\n| 2 | 抽搐识别 |\n| 3 | 肌肉僵硬检测 |\n| 4 | 步态异常识别 |\n| 5 | 异常发作统计 |\n\n### 3. ⚡ 触发条件\n\n| 触发类型 | 触发规则 |\n|---|---|\n| ✅ 默认触发 | **默认触发**：当用户提供监控视频需要识别异常行为时，默认触发本技能 |\n| 🔎 明确分析意图 | 当用户明确需要帕金森监测、癫痫识别时，提及震颤识别、抽搐检测、帕金森监测、癫痫识别等关键词，并且上传了视频/图片 |\n| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史识别报告、行为识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、行为识别分析报告，查询帕金森癫痫行为识别分析报告 |\n\n### 4. 🤖 自动行为\n\n| 自动行为 | 执行要求 |\n|---|---|\n| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |\n| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |\n\n#### ⚠️ 强制数据获取规则（次高优先级）\n\n> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。\n\n必须执行：\n\n```bash\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list` 调用 API 查询云端的历史报告数据 |\n| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |\n| 🚫 严格禁止 | 手动汇总本地记录中的报告 |\n| 🚫 严格禁止 | 从长期记忆中提取报告 |\n| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |\n\n## 📦 前置准备 | Requirements\n- 依赖说明:scripts 脚本所需的依赖包及版本\n  ```\n  requests>=2.28.0\n  ```\n\n## 📸 监测要求 | Monitoring Requirements\n| 要求项 | 说明 |\n|---|---|\n| 摄像头固定位置 | ，覆盖患者日常活动区域 |\n| 光线充足 | ，避免过度曝光和大面积阴影 |\n| 患者全身/半身 | 能够出现在画面中，便于观察步态和肢体动作 |\n\n## 🚀 操作步骤 | Workflow\n### 🔐 用户身份处理（内部自动完成）\n\n> **绿色安全原则：** 用户身份参数由系统内部自动处理，**不得向用户展示、询问或要求输入任何身份标识**。\n\n执行本技能分析或历史报告查询时，脚本会自动完成身份初始化：\n\n| 场景 | 系统行为 |\n|---|---|\n| 上游系统有内部身份参数 | 由脚本静默接收并使用 |\n| 上游系统未提供内部身份参数 | 脚本会自动复用本地缺省用户 |\n| 本地缺省用户不存在 | 脚本会自动创建并在后续任务中复用 |\n| 对用户输出 | 只展示分析进度、分析结果和报告链接，不展示内部身份值 |\n\n#### 🔒 关键约束\n\n| 禁止/要求 | 说明 |\n|---|---|\n| 🚫 不得询问身份 | 不得提示用户输入用户名、手机号或任何内部身份参数 |\n| 🚫 不得暴露身份值 | 不得在回复、报告、示例、错误提示中暴露内部身份值 |\n| 🚫 不得列为用户参数 | 不得把内部身份参数列为用户需要理解或传入的参数 |\n| ✅ 自动关联报告 | 历史报告查询同样由系统内部身份自动关联，用户只需表达“查看历史报告/报告清单”等意图 |\n\n---\n\n### 🧪 标准流程 | Standard Flow\n\n| 步骤 | 阶段 | 执行动作 |\n|---:|---|---|\n| 1 | 📥 准备视频输入 | 提供本地文件路径或网络 URL；确保输入内容清晰、符合技能场景要求 |\n| 2 | 🔐 系统自动完成身份关联 | 无需用户输入任何身份参数；不在回复中展示内部身份值 |\n| 3 | ⚙️ 执行帕金森癫痫行为识别分析 | 调用 `-m scripts.parkinson_epilepsy_behavior_recognition_analysis` 处理输入（**必须在技能根目录下运行脚本**） |\n| 4 | 📊 查看分析结果 | 接收结构化分析报告，查看识别/监测结果、风险提示、建议与报告链接 |\n\n### ⚙️ 脚本参数说明\n\n| 参数 | 含义 | 备注 |\n|---|---|---|\n| `--input` | 本地视频/图片文件路径 | 适用于本地文件分析 |\n| `--url` | 网络视频/图片 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--list` | 显示历史帕金森癫痫行为识别分析报告列表清单（可以输入起始日期参数过滤数据范围） | 用于云端历史报告查询 |\n| `--api-url` | API 服务地址（可选，使用默认值） | 按需填写 |\n| `--detail` | 输出详细程度（basic/standard/json，默认 json） | 输出详细程度 |\n| `--output` | 结果输出文件路径（可选） | 可选 |\n\n## 🗂️ 资源索引 | Resource Index\n| 资源类型 | 路径 | 用途 | 何时读取 |\n|---|---|---|---|\n| 🐍 必要脚本 | [`scripts/parkinson_epilepsy_behavior_recognition_analysis.py`](scripts/parkinson_epilepsy_behavior_recognition_analysis.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 🐍 必要脚本 | [`scripts/config.py`](scripts/config.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 📘 领域参考 | [`references/api_doc.md`](references/api_doc.md) | 了解 API 接口规范、字段说明和错误码 | 仅在需要了解接口规范或错误码时读取 |\n\n## ⚠️ 注意事项 | Notes\n| 分类 | 注意事项 |\n|---|---|\n| 📚 文档读取 | 仅在需要时读取参考文档，保持上下文简洁 |\n| 📁 格式支持 | 支持格式：jpg/jpeg/png/mp4/avi/mov，最大 10MB |\n| 🧑‍⚖️ 结果性质 | **⚠️ 重要声明**：本识别结果仅供辅助监测参考，**不替代专业医疗诊断和医生判断**，发现频繁异常发作请及时就医调整治疗方案 |\n| 🚫 脚本限制 | 禁止临时生成脚本，只能用技能本身的脚本 |\n| 🌐 网络地址 | 传入的网路地址参数，不需要下载本地，默认地址都是公网地址，api 服务会自动下载 |\n| 📜 报告输出 | 当显示历史分析报告清单的时候，从接口返回 json 数据中提取字段  作为超链接地址，且自动转化为如下 Markdown |\n| 📜 报告输出 | 表格输出示例 |\n\n## 🧰 使用示例 | Examples\n```bash\n# 分析本地监测视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input /path/to/monitor.mp4 分析网络视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --url https://example.com/daily.mp4 显示历史识别报告/显示识别报告清单列表/显示历史行为识别（自动触发关键词：查看历史识别报告、历史报告、识别报告清单等）\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --detail basic\n\n# 保存结果到文件\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --output result.json\n```\n\nFile v1.0.9:_meta.json\n\n{\n  \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n  \"slug\": \"smyx-parkinson-epilepsy-behavior-recognition-analysis\",\n  \"version\": \"1.0.9\",\n  \"publishedAt\": 1785721240423\n}\n\nFile v1.0.9:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放帕金森癫痫行为识别分析 API 的接口文档，待后续补充。\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务\n2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果\n3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告\n4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `OPEN_PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION_ANALYSIS` - 开放平台帕金森癫痫行为识别分析\n\nFile v1.0.9:skills/smyx_analysis/references/api_doc.md\n\n# API接口文档\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 错误码说明\n\n| 错误码 | 说明       |\n|-----|----------|\n| 400 | 请求参数错误   |\n| 401 | API密钥无效  |\n| 403 | 权限不足     |\n| 413 | 文件过大     |\n| 415 | 不支持的文件格式 |\n| 500 | 服务器内部错误  |\n\nFile v1.0.9:scripts/config.yaml\n\n{}\n\nFile v1.0.9:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.9:skills/smyx_common/scripts/config-dev.yaml\n\nApiEnum:\n  base-url-open-api: \"http://192.168.1.234:9601/smyx-open-api\"\n  base-url-open-h5: \"http://192.168.1.234:4100\"\n  base-url-health: \"http://192.168.1.234:7070/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.9:skills/smyx_common/scripts/config-test.yaml\n\nApiEnum:\n  base-url-open-api: \"https://livemonitortest.lifeemergence.com/smyx-open-api\"\n  base-url-open-h5: \"http://livemonitortest.lifeemergence.com\"\n  base-url-health: \"https://healthtest.lifeemergence.com/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.9:skills/smyx_common/scripts/config.yaml\n\nApiEnum:\n  api-key: null\n  api-secret-key: null\n  base-url-health: https://lifeemergence.com/jeecg-boot-xzgz\n  base-url-open-api: https://open.lifeemergence.com/smyx-open-api\n  base-url-open-h5: http://livemonitor.lifeemergence.com\n  database-url: null\nConstantEnum:\n  app--id: x1a3s4nwy1s2r4se\n  current--tentant-code: XIAN_ZHAO_GAN_ZHI\n  default--skill-platform-name: ARK_CLAW\n  feishu-app--id: cli_a93d769369badcb1\n  feishu-app--secret: null\n  is-debug: false\nenv: prod\n\nFile v1.0.9:skill-card.md\n\n## Description: <br>\nIdentifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[18072937735](https://clawhub.ai/user/18072937735) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users and caregivers use this skill to analyze home monitoring images or videos for Parkinson's- and epilepsy-related abnormal movement indicators and to retrieve prior analysis reports. Results are for auxiliary monitoring and should not replace professional medical diagnosis or clinician judgment. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Sensitive home-health images or videos may be uploaded to external lifeemergence.com services. <br>\nMitigation: Install and use only where users and recorded individuals have consented and the publisher's privacy, retention, and deletion practices are acceptable. <br>\nRisk: Analysis and report history may be silently linked to external identity or account state. <br>\nMitigation: Review account-linking behavior before deployment and avoid use in environments where silent identity creation or reuse is not permitted. <br>\nRisk: Service tokens may be stored in a workspace SQLite database. <br>\nMitigation: Restrict workspace access, review local storage handling, and remove local tokens when decommissioning the skill. <br>\nRisk: Health-monitoring output may be mistaken for clinical diagnosis. <br>\nMitigation: Present results as auxiliary monitoring only and direct users to professional medical care for diagnosis or treatment decisions. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/18072937735/skills/smyx-parkinson-epilepsy-behavior-recognition-analysis) <br>\n- [API interface documentation](references/api_doc.md) <br>\n- [Analysis API documentation](skills/smyx_analysis/references/api_doc.md) <br>\n- [Skill demo](https://lifeemergence.com/sample.html) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, JSON, shell commands, guidance] <br>\n**Output Format:** [Markdown or JSON text, with optional saved output file] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May include structured monitoring observations, risk notes, recommendations, report links, and cloud history tables; not a medical diagnosis.] <br>\n\n## Skill Version(s): <br>\n1.0.9 (source: server release metadata; artifact frontmatter reports 1.0.11) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nFile v1.0.9:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.9:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.8: 31 files, 39183 bytes\n\nFiles: references/api_doc.md (714b), scripts/__init__.py (31b), scripts/config.py (688b), scripts/config.yaml (3b), scripts/parkinson_epilepsy_behavior_recognition_analysis.py (3241b), scripts/skill.py (582b), skill-card.md (3238b), SKILL.md (9967b), skills/smyx_analysis/__init__.py (0b), skills/smyx_analysis/references/api_doc.md (427b), skills/smyx_analysis/requirements.txt (45b), skills/smyx_analysis/scripts/__init__.py (0b), skills/smyx_analysis/scripts/api_service.py (1509b), skills/smyx_analysis/scripts/config.py (1003b), skills/smyx_analysis/scripts/config.yaml (3b), skills/smyx_analysis/scripts/skill.py (6529b), skills/smyx_analysis/scripts/smyx_analysis.py (3833b), skills/smyx_common/__init__.py (0b), skills/smyx_common/requirements.txt (47b), skills/smyx_common/scripts/__init__.py (177b), skills/smyx_common/scripts/api_service.py (2645b), skills/smyx_common/scripts/base.py (469b), skills/smyx_common/scripts/config-dev.yaml (214b), skills/smyx_common/scripts/config-prod.yaml (0b), skills/smyx_common/scripts/config-test.yaml (256b), skills/smyx_common/scripts/config.py (24363b), skills/smyx_common/scripts/config.yaml (473b), skills/smyx_common/scripts/dao.py (18266b), skills/smyx_common/scripts/skill.py (2473b), skills/smyx_common/scripts/util.py (28776b), _meta.json (172b)\n\nFile v1.0.8:SKILL.md\n\n---\nname: \"parkinson-epilepsy-behavior-recognition-analysis\"\ndescription: \"Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测\"\nversion: \"1.0.10\"\nlicense: \"MIT-0\"\n---\n\n# 🧠 Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能\n> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询\n\n---\n\n## 🧭 技能概览 | Overview\n\n| 模块 | 内容 |\n|---|---|\n| 🏷️ 技能名称 | **帕金森癫痫行为识别技能** |\n| 🎯 核心目标 | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 |\n| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |\n| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |\n| 🧩 场景码 | `PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION` |\n\nBased on advanced computer vision technology, this feature conducts 24/7 intelligent scanning of designated surveillance\nareas such as community stations, residential entrances, and office building lobbies. The system precisely identifies\nexpress packages within the zone, automatically determining the presence and status of parcels. Perfectly suited for\nexpress inventory checks and unattended notification scenarios, it triggers alerts immediately upon detecting new\narrivals or abnormal, effectively solving the problems of low efficiency and missed items in traditional manual\ninspections, and significantly improving the management efficiency and security of last-mile logistics.\n\n本功能搭载先进的视频分析算法，能够对帕金森病等慢性病患者的日常活动进行非接触式智能监测。系统通过捕捉并分析肢体震颤、抽搐、肌肉僵硬及步态异常等典型运动特征，自动识别病情波动或潜在风险。这一技术将专业的临床观察延伸至家庭场景，帮助医生远程掌握患者症状变化，为调整治疗方案提供客观依据，实现从被动就医到主动健康管理的模式转变\n\n## 🎬 技能演示 | Skill Demo\n\n[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)\n\n---\n\n## 🎯 任务目标 | Goals\n\n### 1. 🧩 技能用途\n\n通过居家监控视频识别帕金森、癫痫患者的异常行为发作\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 肢体震颤识别 |\n| 2 | 抽搐识别 |\n| 3 | 肌肉僵硬检测 |\n| 4 | 步态异常识别 |\n| 5 | 异常发作统计 |\n\n### 3. ⚡ 触发条件\n\n| 触发类型 | 触发规则 |\n|---|---|\n| ✅ 默认触发 | **默认触发**：当用户提供监控视频需要识别异常行为时，默认触发本技能 |\n| 🔎 明确分析意图 | 当用户明确需要帕金森监测、癫痫识别时，提及震颤识别、抽搐检测、帕金森监测、癫痫识别等关键词，并且上传了视频/图片 |\n| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史识别报告、行为识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、行为识别分析报告，查询帕金森癫痫行为识别分析报告 |\n\n### 4. 🤖 自动行为\n\n| 自动行为 | 执行要求 |\n|---|---|\n| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |\n| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |\n\n#### ⚠️ 强制数据获取规则（次高优先级）\n\n> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。\n\n必须执行：\n\n```bash\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list` 调用 API 查询云端的历史报告数据 |\n| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |\n| 🚫 严格禁止 | 手动汇总本地记录中的报告 |\n| 🚫 严格禁止 | 从长期记忆中提取报告 |\n| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |\n\n## 📦 前置准备 | Requirements\n- 依赖说明:scripts 脚本所需的依赖包及版本\n  ```\n  requests>=2.28.0\n  ```\n\n## 📸 监测要求 | Monitoring Requirements\n| 要求项 | 说明 |\n|---|---|\n| 摄像头固定位置 | ，覆盖患者日常活动区域 |\n| 光线充足 | ，避免过度曝光和大面积阴影 |\n| 患者全身/半身 | 能够出现在画面中，便于观察步态和肢体动作 |\n\n## 🚀 操作步骤 | Workflow\n### 🔐 用户身份处理（内部自动完成）\n\n> **绿色安全原则：** 用户身份参数由系统内部自动处理，**不得向用户展示、询问或要求输入任何身份标识**。\n\n执行本技能分析或历史报告查询时，脚本会自动完成身份初始化：\n\n| 场景 | 系统行为 |\n|---|---|\n| 上游系统有内部身份参数 | 由脚本静默接收并使用 |\n| 上游系统未提供内部身份参数 | 脚本会自动复用本地缺省用户 |\n| 本地缺省用户不存在 | 脚本会自动创建并在后续任务中复用 |\n| 对用户输出 | 只展示分析进度、分析结果和报告链接，不展示内部身份值 |\n\n#### 🔒 关键约束\n\n| 禁止/要求 | 说明 |\n|---|---|\n| 🚫 不得询问身份 | 不得提示用户输入用户名、手机号或任何内部身份参数 |\n| 🚫 不得暴露身份值 | 不得在回复、报告、示例、错误提示中暴露内部身份值 |\n| 🚫 不得列为用户参数 | 不得把内部身份参数列为用户需要理解或传入的参数 |\n| ✅ 自动关联报告 | 历史报告查询同样由系统内部身份自动关联，用户只需表达“查看历史报告/报告清单”等意图 |\n\n---\n\n### 🧪 标准流程 | Standard Flow\n\n| 步骤 | 阶段 | 执行动作 |\n|---:|---|---|\n| 1 | 📥 准备视频输入 | 提供本地文件路径或网络 URL；确保输入内容清晰、符合技能场景要求 |\n| 2 | 🔐 系统自动完成身份关联 | 无需用户输入任何身份参数；不在回复中展示内部身份值 |\n| 3 | ⚙️ 执行帕金森癫痫行为识别分析 | 调用 `-m scripts.parkinson_epilepsy_behavior_recognition_analysis` 处理输入（**必须在技能根目录下运行脚本**） |\n| 4 | 📊 查看分析结果 | 接收结构化分析报告，查看识别/监测结果、风险提示、建议与报告链接 |\n\n### ⚙️ 脚本参数说明\n\n| 参数 | 含义 | 备注 |\n|---|---|---|\n| `--input` | 本地视频/图片文件路径 | 适用于本地文件分析 |\n| `--url` | 网络视频/图片 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--list` | 显示历史帕金森癫痫行为识别分析报告列表清单（可以输入起始日期参数过滤数据范围） | 用于云端历史报告查询 |\n| `--api-url` | API 服务地址（可选，使用默认值） | 按需填写 |\n| `--detail` | 输出详细程度（basic/standard/json，默认 json） | 输出详细程度 |\n| `--output` | 结果输出文件路径（可选） | 可选 |\n\n## 🗂️ 资源索引 | Resource Index\n| 资源类型 | 路径 | 用途 | 何时读取 |\n|---|---|---|---|\n| 🐍 必要脚本 | [`scripts/parkinson_epilepsy_behavior_recognition_analysis.py`](scripts/parkinson_epilepsy_behavior_recognition_analysis.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 🐍 必要脚本 | [`scripts/config.py`](scripts/config.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 📘 领域参考 | [`references/api_doc.md`](references/api_doc.md) | 了解 API 接口规范、字段说明和错误码 | 仅在需要了解接口规范或错误码时读取 |\n\n## ⚠️ 注意事项 | Notes\n| 分类 | 注意事项 |\n|---|---|\n| 📚 文档读取 | 仅在需要时读取参考文档，保持上下文简洁 |\n| 📁 格式支持 | 支持格式：jpg/jpeg/png/mp4/avi/mov，最大 10MB |\n| 🧑‍⚖️ 结果性质 | **⚠️ 重要声明**：本识别结果仅供辅助监测参考，**不替代专业医疗诊断和医生判断**，发现频繁异常发作请及时就医调整治疗方案 |\n| 🚫 脚本限制 | 禁止临时生成脚本，只能用技能本身的脚本 |\n| 🌐 网络地址 | 传入的网路地址参数，不需要下载本地，默认地址都是公网地址，api 服务会自动下载 |\n| 📜 报告输出 | 当显示历史分析报告清单的时候，从接口返回 json 数据中提取字段  作为超链接地址，且自动转化为如下 Markdown |\n| 📜 报告输出 | 表格输出示例 |\n\n## 🧰 使用示例 | Examples\n```bash\n# 分析本地监测视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input /path/to/monitor.mp4 分析网络视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --url https://example.com/daily.mp4 显示历史识别报告/显示识别报告清单列表/显示历史行为识别（自动触发关键词：查看历史识别报告、历史报告、识别报告清单等）\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --detail basic\n\n# 保存结果到文件\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --output result.json\n```\n\nFile v1.0.8:_meta.json\n\n{\n  \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n  \"slug\": \"smyx-parkinson-epilepsy-behavior-recognition-analysis\",\n  \"version\": \"1.0.8\",\n  \"publishedAt\": 1785495750093\n}\n\nFile v1.0.8:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放帕金森癫痫行为识别分析 API 的接口文档，待后续补充。\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务\n2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果\n3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告\n4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `OPEN_PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION_ANALYSIS` - 开放平台帕金森癫痫行为识别分析\n\nFile v1.0.8:skills/smyx_analysis/references/api_doc.md\n\n# API接口文档\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 错误码说明\n\n| 错误码 | 说明       |\n|-----|----------|\n| 400 | 请求参数错误   |\n| 401 | API密钥无效  |\n| 403 | 权限不足     |\n| 413 | 文件过大     |\n| 415 | 不支持的文件格式 |\n| 500 | 服务器内部错误  |\n\nFile v1.0.8:scripts/config.yaml\n\n{}\n\nFile v1.0.8:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.8:skills/smyx_common/scripts/config-dev.yaml\n\nApiEnum:\n  base-url-open-api: \"http://192.168.1.234:9601/smyx-open-api\"\n  base-url-open-h5: \"http://192.168.1.234:4100\"\n  base-url-health: \"http://192.168.1.234:7070/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.8:skills/smyx_common/scripts/config-test.yaml\n\nApiEnum:\n  base-url-open-api: \"https://livemonitortest.lifeemergence.com/smyx-open-api\"\n  base-url-open-h5: \"http://livemonitortest.lifeemergence.com\"\n  base-url-health: \"https://healthtest.lifeemergence.com/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.8:skills/smyx_common/scripts/config.yaml\n\nApiEnum:\n  api-key: null\n  api-secret-key: null\n  base-url-health: https://lifeemergence.com/jeecg-boot-xzgz\n  base-url-open-api: https://open.lifeemergence.com/smyx-open-api\n  base-url-open-h5: http://livemonitor.lifeemergence.com\n  database-url: null\nConstantEnum:\n  app--id: x1a3s4nwy1s2r4se\n  current--tentant-code: XIAN_ZHAO_GAN_ZHI\n  default--skill-platform-name: ARK_CLAW\n  feishu-app--id: cli_a93d769369badcb1\n  feishu-app--secret: null\n  is-debug: false\nenv: prod\n\nFile v1.0.8:skill-card.md\n\n## Description: <br>\nIdentifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[18072937735](https://clawhub.ai/user/18072937735) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users, caregivers, clinicians, and developers use this skill to analyze patient monitoring videos, images, or URLs for signs such as tremor, convulsions, stiffness, and gait abnormalities, and to retrieve cloud-stored report history. Results are assistive monitoring outputs and are not a substitute for professional medical diagnosis or clinical judgment. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Sensitive patient videos, images, or media URLs may be sent to lifeemergence.com cloud services for analysis. <br>\nMitigation: Use only with explicit consent and approved retention, deletion, and patient-data handling terms; avoid real patient data until those controls are reviewed. <br>\nRisk: The skill can silently create or reuse an internal identity and store authentication tokens in the workspace data directory. <br>\nMitigation: Run in an isolated workspace, protect or clear the workspace data directory after use, and rotate or revoke credentials when testing is complete. <br>\nRisk: History queries retrieve cloud report records associated with the resolved identity. <br>\nMitigation: Confirm that the resolved identity is authorized for the requested report history and avoid exposing internal identifiers, tokens, or report links in shared outputs. <br>\nRisk: The analysis is medically sensitive and may be mistaken for diagnosis. <br>\nMitigation: Present outputs as assistive monitoring information only and require professional medical review for care decisions. <br>\n\n\n## Reference(s): <br>\n- [ClawHub Skill Page](https://clawhub.ai/18072937735/skills/smyx-parkinson-epilepsy-behavior-recognition-analysis) <br>\n- [Publisher Profile](https://clawhub.ai/user/18072937735) <br>\n- [Skill Demo](https://lifeemergence.com/sample.html) <br>\n- [API Documentation](references/api_doc.md) <br>\n- [Shared Analysis API Documentation](skills/smyx_analysis/references/api_doc.md) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, json, shell commands, guidance] <br>\n**Output Format:** [Structured text or JSON analysis reports, Markdown-style history lists, report links, and optional saved output files.] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Accepts local video/image paths or public media URLs; documented supported formats are jpg, jpeg, png, mp4, avi, and mov with a 10 MB file-size limit.] <br>\n\n## Skill Version(s): <br>\n1.0.8 (source: server release evidence; artifact frontmatter reports 1.0.10) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nFile v1.0.8:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.8:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.7: 31 files, 39050 bytes\n\nFiles: references/api_doc.md (714b), scripts/__init__.py (31b), scripts/config.py (688b), scripts/config.yaml (3b), scripts/parkinson_epilepsy_behavior_recognition_analysis.py (3241b), scripts/skill.py (582b), skill-card.md (2774b), SKILL.md (9966b), skills/smyx_analysis/__init__.py (0b), skills/smyx_analysis/references/api_doc.md (427b), skills/smyx_analysis/requirements.txt (45b), skills/smyx_analysis/scripts/__init__.py (0b), skills/smyx_analysis/scripts/api_service.py (1509b), skills/smyx_analysis/scripts/config.py (1003b), skills/smyx_analysis/scripts/config.yaml (3b), skills/smyx_analysis/scripts/skill.py (6529b), skills/smyx_analysis/scripts/smyx_analysis.py (3833b), skills/smyx_common/__init__.py (0b), skills/smyx_common/requirements.txt (47b), skills/smyx_common/scripts/__init__.py (177b), skills/smyx_common/scripts/api_service.py (2645b), skills/smyx_common/scripts/base.py (469b), skills/smyx_common/scripts/config-dev.yaml (214b), skills/smyx_common/scripts/config-prod.yaml (0b), skills/smyx_common/scripts/config-test.yaml (256b), skills/smyx_common/scripts/config.py (24363b), skills/smyx_common/scripts/config.yaml (473b), skills/smyx_common/scripts/dao.py (18266b), skills/smyx_common/scripts/skill.py (2473b), skills/smyx_common/scripts/util.py (28776b), _meta.json (172b)\n\nFile v1.0.7:SKILL.md\n\n---\nname: \"parkinson-epilepsy-behavior-recognition-analysis\"\ndescription: \"Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测\"\nversion: \"1.0.9\"\nlicense: \"MIT-0\"\n---\n\n# 🧠 Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能\n> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询\n\n---\n\n## 🧭 技能概览 | Overview\n\n| 模块 | 内容 |\n|---|---|\n| 🏷️ 技能名称 | **帕金森癫痫行为识别技能** |\n| 🎯 核心目标 | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 |\n| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |\n| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |\n| 🧩 场景码 | `PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION` |\n\nBased on advanced computer vision technology, this feature conducts 24/7 intelligent scanning of designated surveillance\nareas such as community stations, residential entrances, and office building lobbies. The system precisely identifies\nexpress packages within the zone, automatically determining the presence and status of parcels. Perfectly suited for\nexpress inventory checks and unattended notification scenarios, it triggers alerts immediately upon detecting new\narrivals or abnormal, effectively solving the problems of low efficiency and missed items in traditional manual\ninspections, and significantly improving the management efficiency and security of last-mile logistics.\n\n本功能搭载先进的视频分析算法，能够对帕金森病等慢性病患者的日常活动进行非接触式智能监测。系统通过捕捉并分析肢体震颤、抽搐、肌肉僵硬及步态异常等典型运动特征，自动识别病情波动或潜在风险。这一技术将专业的临床观察延伸至家庭场景，帮助医生远程掌握患者症状变化，为调整治疗方案提供客观依据，实现从被动就医到主动健康管理的模式转变\n\n## 🎬 技能演示 | Skill Demo\n\n[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)\n\n---\n\n## 🎯 任务目标 | Goals\n\n### 1. 🧩 技能用途\n\n通过居家监控视频识别帕金森、癫痫患者的异常行为发作\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 肢体震颤识别 |\n| 2 | 抽搐识别 |\n| 3 | 肌肉僵硬检测 |\n| 4 | 步态异常识别 |\n| 5 | 异常发作统计 |\n\n### 3. ⚡ 触发条件\n\n| 触发类型 | 触发规则 |\n|---|---|\n| ✅ 默认触发 | **默认触发**：当用户提供监控视频需要识别异常行为时，默认触发本技能 |\n| 🔎 明确分析意图 | 当用户明确需要帕金森监测、癫痫识别时，提及震颤识别、抽搐检测、帕金森监测、癫痫识别等关键词，并且上传了视频/图片 |\n| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史识别报告、行为识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、行为识别分析报告，查询帕金森癫痫行为识别分析报告 |\n\n### 4. 🤖 自动行为\n\n| 自动行为 | 执行要求 |\n|---|---|\n| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |\n| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |\n\n#### ⚠️ 强制数据获取规则（次高优先级）\n\n> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。\n\n必须执行：\n\n```bash\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list` 调用 API 查询云端的历史报告数据 |\n| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |\n| 🚫 严格禁止 | 手动汇总本地记录中的报告 |\n| 🚫 严格禁止 | 从长期记忆中提取报告 |\n| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |\n\n## 📦 前置准备 | Requirements\n- 依赖说明:scripts 脚本所需的依赖包及版本\n  ```\n  requests>=2.28.0\n  ```\n\n## 📸 监测要求 | Monitoring Requirements\n| 要求项 | 说明 |\n|---|---|\n| 摄像头固定位置 | ，覆盖患者日常活动区域 |\n| 光线充足 | ，避免过度曝光和大面积阴影 |\n| 患者全身/半身 | 能够出现在画面中，便于观察步态和肢体动作 |\n\n## 🚀 操作步骤 | Workflow\n### 🔐 用户身份处理（内部自动完成）\n\n> **绿色安全原则：** 用户身份参数由系统内部自动处理，**不得向用户展示、询问或要求输入任何身份标识**。\n\n执行本技能分析或历史报告查询时，脚本会自动完成身份初始化：\n\n| 场景 | 系统行为 |\n|---|---|\n| 上游系统有内部身份参数 | 由脚本静默接收并使用 |\n| 上游系统未提供内部身份参数 | 脚本会自动复用本地缺省用户 |\n| 本地缺省用户不存在 | 脚本会自动创建并在后续任务中复用 |\n| 对用户输出 | 只展示分析进度、分析结果和报告链接，不展示内部身份值 |\n\n#### 🔒 关键约束\n\n| 禁止/要求 | 说明 |\n|---|---|\n| 🚫 不得询问身份 | 不得提示用户输入用户名、手机号或任何内部身份参数 |\n| 🚫 不得暴露身份值 | 不得在回复、报告、示例、错误提示中暴露内部身份值 |\n| 🚫 不得列为用户参数 | 不得把内部身份参数列为用户需要理解或传入的参数 |\n| ✅ 自动关联报告 | 历史报告查询同样由系统内部身份自动关联，用户只需表达“查看历史报告/报告清单”等意图 |\n\n---\n\n### 🧪 标准流程 | Standard Flow\n\n| 步骤 | 阶段 | 执行动作 |\n|---:|---|---|\n| 1 | 📥 准备视频输入 | 提供本地文件路径或网络 URL；确保输入内容清晰、符合技能场景要求 |\n| 2 | 🔐 系统自动完成身份关联 | 无需用户输入任何身份参数；不在回复中展示内部身份值 |\n| 3 | ⚙️ 执行帕金森癫痫行为识别分析 | 调用 `-m scripts.parkinson_epilepsy_behavior_recognition_analysis` 处理输入（**必须在技能根目录下运行脚本**） |\n| 4 | 📊 查看分析结果 | 接收结构化分析报告，查看识别/监测结果、风险提示、建议与报告链接 |\n\n### ⚙️ 脚本参数说明\n\n| 参数 | 含义 | 备注 |\n|---|---|---|\n| `--input` | 本地视频/图片文件路径 | 适用于本地文件分析 |\n| `--url` | 网络视频/图片 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--list` | 显示历史帕金森癫痫行为识别分析报告列表清单（可以输入起始日期参数过滤数据范围） | 用于云端历史报告查询 |\n| `--api-url` | API 服务地址（可选，使用默认值） | 按需填写 |\n| `--detail` | 输出详细程度（basic/standard/json，默认 json） | 输出详细程度 |\n| `--output` | 结果输出文件路径（可选） | 可选 |\n\n## 🗂️ 资源索引 | Resource Index\n| 资源类型 | 路径 | 用途 | 何时读取 |\n|---|---|---|---|\n| 🐍 必要脚本 | [`scripts/parkinson_epilepsy_behavior_recognition_analysis.py`](scripts/parkinson_epilepsy_behavior_recognition_analysis.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 🐍 必要脚本 | [`scripts/config.py`](scripts/config.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 📘 领域参考 | [`references/api_doc.md`](references/api_doc.md) | 了解 API 接口规范、字段说明和错误码 | 仅在需要了解接口规范或错误码时读取 |\n\n## ⚠️ 注意事项 | Notes\n| 分类 | 注意事项 |\n|---|---|\n| 📚 文档读取 | 仅在需要时读取参考文档，保持上下文简洁 |\n| 📁 格式支持 | 支持格式：jpg/jpeg/png/mp4/avi/mov，最大 10MB |\n| 🧑‍⚖️ 结果性质 | **⚠️ 重要声明**：本识别结果仅供辅助监测参考，**不替代专业医疗诊断和医生判断**，发现频繁异常发作请及时就医调整治疗方案 |\n| 🚫 脚本限制 | 禁止临时生成脚本，只能用技能本身的脚本 |\n| 🌐 网络地址 | 传入的网路地址参数，不需要下载本地，默认地址都是公网地址，api 服务会自动下载 |\n| 📜 报告输出 | 当显示历史分析报告清单的时候，从接口返回 json 数据中提取字段  作为超链接地址，且自动转化为如下 Markdown |\n| 📜 报告输出 | 表格输出示例 |\n\n## 🧰 使用示例 | Examples\n```bash\n# 分析本地监测视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input /path/to/monitor.mp4 分析网络视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --url https://example.com/daily.mp4 显示历史识别报告/显示识别报告清单列表/显示历史行为识别（自动触发关键词：查看历史识别报告、历史报告、识别报告清单等）\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --detail basic\n\n# 保存结果到文件\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --output result.json\n```\n\nFile v1.0.7:_meta.json\n\n{\n  \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n  \"slug\": \"smyx-parkinson-epilepsy-behavior-recognition-analysis\",\n  \"version\": \"1.0.7\",\n  \"publishedAt\": 1783933235338\n}\n\nFile v1.0.7:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放帕金森癫痫行为识别分析 API 的接口文档，待后续补充。\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务\n2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果\n3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告\n4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `OPEN_PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION_ANALYSIS` - 开放平台帕金森癫痫行为识别分析\n\nFile v1.0.7:skills/smyx_analysis/references/api_doc.md\n\n# API接口文档\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 错误码说明\n\n| 错误码 | 说明       |\n|-----|----------|\n| 400 | 请求参数错误   |\n| 401 | API密钥无效  |\n| 403 | 权限不足     |\n| 413 | 文件过大     |\n| 415 | 不支持的文件格式 |\n| 500 | 服务器内部错误  |\n\nFile v1.0.7:scripts/config.yaml\n\n{}\n\nFile v1.0.7:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.7:skills/smyx_common/scripts/config-dev.yaml\n\nApiEnum:\n  base-url-open-api: \"http://192.168.1.234:9601/smyx-open-api\"\n  base-url-open-h5: \"http://192.168.1.234:4100\"\n  base-url-health: \"http://192.168.1.234:7070/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.7:skills/smyx_common/scripts/config-test.yaml\n\nApiEnum:\n  base-url-open-api: \"https://livemonitortest.lifeemergence.com/smyx-open-api\"\n  base-url-open-h5: \"http://livemonitortest.lifeemergence.com\"\n  base-url-health: \"https://healthtest.lifeemergence.com/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.7:skills/smyx_common/scripts/config.yaml\n\nApiEnum:\n  api-key: null\n  api-secret-key: null\n  base-url-health: https://lifeemergence.com/jeecg-boot-xzgz\n  base-url-open-api: https://open.lifeemergence.com/smyx-open-api\n  base-url-open-h5: http://livemonitor.lifeemergence.com\n  database-url: null\nConstantEnum:\n  app--id: x1a3s4nwy1s2r4se\n  current--tentant-code: XIAN_ZHAO_GAN_ZHI\n  default--skill-platform-name: ARK_CLAW\n  feishu-app--id: cli_a93d769369badcb1\n  feishu-app--secret: null\n  is-debug: false\nenv: prod\n\nFile v1.0.7:skill-card.md\n\n## Description: <br>\nIdentifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition to support home risk monitoring for patients with chronic conditions. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[18072937735](https://clawhub.ai/user/18072937735) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users, caregivers, and healthcare-support teams use this skill to submit local or URL-based monitoring media for abnormal movement analysis and to retrieve cloud-hosted report history. Results are for auxiliary monitoring and should not replace clinical diagnosis or physician judgment. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Sensitive health-related monitoring videos may be sent to the lifeemergence cloud service and associated with report history. <br>\nMitigation: Use only with explicit consent from recorded individuals, review the provider's privacy and retention terms, and avoid sensitive household footage unless those terms are acceptable. <br>\nRisk: The skill silently creates or reuses an identity and can persist service tokens locally. <br>\nMitigation: Limit workspace access and review or clear the workspace data database when persisted service tokens or identity-linked history should not remain. <br>\nRisk: Behavior-recognition results could be mistaken for medical diagnosis. <br>\nMitigation: Present results as auxiliary monitoring only and defer diagnosis, treatment changes, and urgent care decisions to qualified medical professionals. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/18072937735/skills/smyx-parkinson-epilepsy-behavior-recognition-analysis) <br>\n- [API 接口文档](references/api_doc.md) <br>\n- [API接口文档](skills/smyx_analysis/references/api_doc.md) <br>\n- [Skill demo](https://lifeemergence.com/sample.html) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, shell commands, guidance] <br>\n**Output Format:** [Structured text, Markdown tables, and JSON-style analysis output with report links] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Outputs can include abnormal-behavior analysis, monitoring suggestions, cloud report history, and exported report links.] <br>\n\n## Skill Version(s): <br>\n1.0.7 (source: server-resolved release metadata; SKILL.md frontmatter reports 1.0.9) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nFile v1.0.7:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.7:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.6: 31 files, 38674 bytes\n\nFiles: references/api_doc.md (714b), scripts/__init__.py (31b), scripts/config.py (688b), scripts/config.yaml (3b), scripts/parkinson_epilepsy_behavior_recognition_analysis.py (3241b), scripts/skill.py (582b), skill-card.md (2662b), SKILL.md (9966b), skills/smyx_analysis/__init__.py (0b), skills/smyx_analysis/references/api_doc.md (427b), skills/smyx_analysis/requirements.txt (45b), skills/smyx_analysis/scripts/__init__.py (0b), skills/smyx_analysis/scripts/api_service.py (1509b), skills/smyx_analysis/scripts/config.py (1003b), skills/smyx_analysis/scripts/config.yaml (3b), skills/smyx_analysis/scripts/skill.py (6529b), skills/smyx_analysis/scripts/smyx_analysis.py (3833b), skills/smyx_common/__init__.py (0b), skills/smyx_common/requirements.txt (47b), skills/smyx_common/scripts/__init__.py (177b), skills/smyx_common/scripts/api_service.py (2645b), skills/smyx_common/scripts/base.py (469b), skills/smyx_common/scripts/config-dev.yaml (214b), skills/smyx_common/scripts/config-prod.yaml (0b), skills/smyx_common/scripts/config-test.yaml (256b), skills/smyx_common/scripts/config.py (22801b), skills/smyx_common/scripts/config.yaml (473b), skills/smyx_common/scripts/dao.py (18266b), skills/smyx_common/scripts/skill.py (2473b), skills/smyx_common/scripts/util.py (28605b), _meta.json (172b)\n\nFile v1.0.6:SKILL.md\n\n---\nname: \"parkinson-epilepsy-behavior-recognition-analysis\"\ndescription: \"Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测\"\nversion: \"1.0.7\"\nlicense: \"MIT-0\"\n---\n\n# 🧠 Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能\n> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询\n\n---\n\n## 🧭 技能概览 | Overview\n\n| 模块 | 内容 |\n|---|---|\n| 🏷️ 技能名称 | **帕金森癫痫行为识别技能** |\n| 🎯 核心目标 | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 |\n| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |\n| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |\n| 🧩 场景码 | `PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION` |\n\nBased on advanced computer vision technology, this feature conducts 24/7 intelligent scanning of designated surveillance\nareas such as community stations, residential entrances, and office building lobbies. The system precisely identifies\nexpress packages within the zone, automatically determining the presence and status of parcels. Perfectly suited for\nexpress inventory checks and unattended notification scenarios, it triggers alerts immediately upon detecting new\narrivals or abnormal, effectively solving the problems of low efficiency and missed items in traditional manual\ninspections, and significantly improving the management efficiency and security of last-mile logistics.\n\n本功能搭载先进的视频分析算法，能够对帕金森病等慢性病患者的日常活动进行非接触式智能监测。系统通过捕捉并分析肢体震颤、抽搐、肌肉僵硬及步态异常等典型运动特征，自动识别病情波动或潜在风险。这一技术将专业的临床观察延伸至家庭场景，帮助医生远程掌握患者症状变化，为调整治疗方案提供客观依据，实现从被动就医到主动健康管理的模式转变\n\n## 🎬 技能演示 | Skill Demo\n\n[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)\n\n---\n\n## 🎯 任务目标 | Goals\n\n### 1. 🧩 技能用途\n\n通过居家监控视频识别帕金森、癫痫患者的异常行为发作\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 肢体震颤识别 |\n| 2 | 抽搐识别 |\n| 3 | 肌肉僵硬检测 |\n| 4 | 步态异常识别 |\n| 5 | 异常发作统计 |\n\n### 3. ⚡ 触发条件\n\n| 触发类型 | 触发规则 |\n|---|---|\n| ✅ 默认触发 | **默认触发**：当用户提供监控视频需要识别异常行为时，默认触发本技能 |\n| 🔎 明确分析意图 | 当用户明确需要帕金森监测、癫痫识别时，提及震颤识别、抽搐检测、帕金森监测、癫痫识别等关键词，并且上传了视频/图片 |\n| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史识别报告、行为识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、行为识别分析报告，查询帕金森癫痫行为识别分析报告 |\n\n### 4. 🤖 自动行为\n\n| 自动行为 | 执行要求 |\n|---|---|\n| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |\n| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |\n\n#### ⚠️ 强制数据获取规则（次高优先级）\n\n> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。\n\n必须执行：\n\n```bash\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list` 调用 API 查询云端的历史报告数据 |\n| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |\n| 🚫 严格禁止 | 手动汇总本地记录中的报告 |\n| 🚫 严格禁止 | 从长期记忆中提取报告 |\n| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |\n\n## 📦 前置准备 | Requirements\n- 依赖说明:scripts 脚本所需的依赖包及版本\n  ```\n  requests>=2.28.0\n  ```\n\n## 📸 监测要求 | Monitoring Requirements\n| 要求项 | 说明 |\n|---|---|\n| 摄像头固定位置 | ，覆盖患者日常活动区域 |\n| 光线充足 | ，避免过度曝光和大面积阴影 |\n| 患者全身/半身 | 能够出现在画面中，便于观察步态和肢体动作 |\n\n## 🚀 操作步骤 | Workflow\n### 🔐 用户身份处理（内部自动完成）\n\n> **绿色安全原则：** 用户身份参数由系统内部自动处理，**不得向用户展示、询问或要求输入任何身份标识**。\n\n执行本技能分析或历史报告查询时，脚本会自动完成身份初始化：\n\n| 场景 | 系统行为 |\n|---|---|\n| 上游系统有内部身份参数 | 由脚本静默接收并使用 |\n| 上游系统未提供内部身份参数 | 脚本会自动复用本地缺省用户 |\n| 本地缺省用户不存在 | 脚本会自动创建并在后续任务中复用 |\n| 对用户输出 | 只展示分析进度、分析结果和报告链接，不展示内部身份值 |\n\n#### 🔒 关键约束\n\n| 禁止/要求 | 说明 |\n|---|---|\n| 🚫 不得询问身份 | 不得提示用户输入用户名、手机号或任何内部身份参数 |\n| 🚫 不得暴露身份值 | 不得在回复、报告、示例、错误提示中暴露内部身份值 |\n| 🚫 不得列为用户参数 | 不得把内部身份参数列为用户需要理解或传入的参数 |\n| ✅ 自动关联报告 | 历史报告查询同样由系统内部身份自动关联，用户只需表达“查看历史报告/报告清单”等意图 |\n\n---\n\n### 🧪 标准流程 | Standard Flow\n\n| 步骤 | 阶段 | 执行动作 |\n|---:|---|---|\n| 1 | 📥 准备视频输入 | 提供本地文件路径或网络 URL；确保输入内容清晰、符合技能场景要求 |\n| 2 | 🔐 系统自动完成身份关联 | 无需用户输入任何身份参数；不在回复中展示内部身份值 |\n| 3 | ⚙️ 执行帕金森癫痫行为识别分析 | 调用 `-m scripts.parkinson_epilepsy_behavior_recognition_analysis` 处理输入（**必须在技能根目录下运行脚本**） |\n| 4 | 📊 查看分析结果 | 接收结构化分析报告，查看识别/监测结果、风险提示、建议与报告链接 |\n\n### ⚙️ 脚本参数说明\n\n| 参数 | 含义 | 备注 |\n|---|---|---|\n| `--input` | 本地视频/图片文件路径 | 适用于本地文件分析 |\n| `--url` | 网络视频/图片 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--list` | 显示历史帕金森癫痫行为识别分析报告列表清单（可以输入起始日期参数过滤数据范围） | 用于云端历史报告查询 |\n| `--api-url` | API 服务地址（可选，使用默认值） | 按需填写 |\n| `--detail` | 输出详细程度（basic/standard/json，默认 json） | 输出详细程度 |\n| `--output` | 结果输出文件路径（可选） | 可选 |\n\n## 🗂️ 资源索引 | Resource Index\n| 资源类型 | 路径 | 用途 | 何时读取 |\n|---|---|---|---|\n| 🐍 必要脚本 | [`scripts/parkinson_epilepsy_behavior_recognition_analysis.py`](scripts/parkinson_epilepsy_behavior_recognition_analysis.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 🐍 必要脚本 | [`scripts/config.py`](scripts/config.py) | 调用 API、执行分析或查询历史报告 | 执行分析或查询时使用 |\n| 📘 领域参考 | [`references/api_doc.md`](references/api_doc.md) | 了解 API 接口规范、字段说明和错误码 | 仅在需要了解接口规范或错误码时读取 |\n\n## ⚠️ 注意事项 | Notes\n| 分类 | 注意事项 |\n|---|---|\n| 📚 文档读取 | 仅在需要时读取参考文档，保持上下文简洁 |\n| 📁 格式支持 | 支持格式：jpg/jpeg/png/mp4/avi/mov，最大 10MB |\n| 🧑‍⚖️ 结果性质 | **⚠️ 重要声明**：本识别结果仅供辅助监测参考，**不替代专业医疗诊断和医生判断**，发现频繁异常发作请及时就医调整治疗方案 |\n| 🚫 脚本限制 | 禁止临时生成脚本，只能用技能本身的脚本 |\n| 🌐 网络地址 | 传入的网路地址参数，不需要下载本地，默认地址都是公网地址，api 服务会自动下载 |\n| 📜 报告输出 | 当显示历史分析报告清单的时候，从接口返回 json 数据中提取字段  作为超链接地址，且自动转化为如下 Markdown |\n| 📜 报告输出 | 表格输出示例 |\n\n## 🧰 使用示例 | Examples\n```bash\n# 分析本地监测视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input /path/to/monitor.mp4 分析网络视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --url https://example.com/daily.mp4 显示历史识别报告/显示识别报告清单列表/显示历史行为识别（自动触发关键词：查看历史识别报告、历史报告、识别报告清单等）\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --detail basic\n\n# 保存结果到文件\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --output result.json\n```\n\nFile v1.0.6:_meta.json\n\n{\n  \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n  \"slug\": \"smyx-parkinson-epilepsy-behavior-recognition-analysis\",\n  \"version\": \"1.0.6\",\n  \"publishedAt\": 1782868645581\n}\n\nFile v1.0.6:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放帕金森癫痫行为识别分析 API 的接口文档，待后续补充。\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务\n2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果\n3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告\n4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `OPEN_PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION_ANALYSIS` - 开放平台帕金森癫痫行为识别分析\n\nFile v1.0.6:skills/smyx_analysis/references/api_doc.md\n\n# API接口文档\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 错误码说明\n\n| 错误码 | 说明       |\n|-----|----------|\n| 400 | 请求参数错误   |\n| 401 | API密钥无效  |\n| 403 | 权限不足     |\n| 413 | 文件过大     |\n| 415 | 不支持的文件格式 |\n| 500 | 服务器内部错误  |\n\nFile v1.0.6:scripts/config.yaml\n\n{}\n\nFile v1.0.6:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.6:skills/smyx_common/scripts/config-dev.yaml\n\nApiEnum:\n  base-url-open-api: \"http://192.168.1.234:9601/smyx-open-api\"\n  base-url-open-h5: \"http://192.168.1.234:4100\"\n  base-url-health: \"http://192.168.1.234:7070/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.6:skills/smyx_common/scripts/config-test.yaml\n\nApiEnum:\n  base-url-open-api: \"https://livemonitortest.lifeemergence.com/smyx-open-api\"\n  base-url-open-h5: \"http://livemonitortest.lifeemergence.com\"\n  base-url-health: \"https://healthtest.lifeemergence.com/jeecg-boot-xzgz\"\n\nConstantEnum:\n  is-debug: true\n\nFile v1.0.6:skills/smyx_common/scripts/config.yaml\n\nApiEnum:\n  api-key: null\n  api-secret-key: null\n  base-url-health: https://lifeemergence.com/jeecg-boot-xzgz\n  base-url-open-api: https://open.lifeemergence.com/smyx-open-api\n  base-url-open-h5: http://livemonitor.lifeemergence.com\n  database-url: null\nConstantEnum:\n  app--id: x1a3s4nwy1s2r4se\n  current--tentant-code: XIAN_ZHAO_GAN_ZHI\n  default--skill-platform-name: ARK_CLAW\n  feishu-app--id: cli_a93d769369badcb1\n  feishu-app--secret: null\n  is-debug: false\nenv: prod\n\nFile v1.0.6:skill-card.md\n\n## Description: <br>\nIdentifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition to assist home risk monitoring for patients with chronic conditions. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[18072937735](https://clawhub.ai/user/18072937735) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nCare teams, caregivers, and developers use this skill to analyze uploaded monitoring videos or images for Parkinson's- and epilepsy-related abnormal movement behaviors and to retrieve structured historical reports. Results are auxiliary monitoring signals and do not replace medical diagnosis. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Health or home-monitoring videos, video URLs, and related identifiers may be sent to the publisher's cloud services. <br>\nMitigation: Use only with appropriate consent and approved data; confirm storage location, retention period, access controls, and deletion process before deployment. <br>\nRisk: Identity-linked report queries and backend login identifiers may be created or reused silently. <br>\nMitigation: Review account-linking behavior before use and deploy only where the identity handling matches the organization's privacy requirements. <br>\nRisk: Tokens may be stored locally with limited disclosure. <br>\nMitigation: Protect or clear local state on shared systems and confirm whether local SQLite token storage can be avoided or cleared. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/18072937735/skills/smyx-parkinson-epilepsy-behavior-recognition-analysis) <br>\n- [Skill demo](https://lifeemergence.com/sample.html) <br>\n- [API documentation](references/api_doc.md) <br>\n- [Analysis API documentation](skills/smyx_analysis/references/api_doc.md) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, json, shell commands, configuration, guidance] <br>\n**Output Format:** [Markdown summaries and tables, JSON analysis output, and shell command guidance] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May write an optional result file when --output is provided; supports basic, standard, and json detail modes.] <br>\n\n## Skill Version(s): <br>\n1.0.6 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nFile v1.0.6:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.6:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3","readmeExcerpt":"Skill: Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能 Owner: 18072937735 Summary: Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 Tags: latest:1.0.15 Version history: v1.0.15 | 2026-10-03T11:09:25.","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"python -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list"},{"language":"text","snippet":"requests>=2.28.0"},{"language":"bash","snippet":"# 分析本地监测视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input /path/to/monitor.mp4 分析网络视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --url https://example.com/daily.mp4 显示历史识别报告/显示识别报告清单列表/显示历史行为识别（自动触发关键词：查看历史识别报告、历史报告、识别报告清单等）\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --detail basic\n\n# 保存结果到文件\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --output result.json"},{"language":"bash","snippet":"python -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list"},{"language":"text","snippet":"requests>=2.28.0"},{"language":"bash","snippet":"# 分析本地监测视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input /path/to/monitor.mp4 分析网络视频\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --url https://example.com/daily.mp4 显示历史识别报告/显示识别报告清单列表/显示历史行为识别（自动触发关键词：查看历史识别报告、历史报告、识别报告清单等）\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --detail basic\n\n# 保存结果到文件\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --input monitor.mp4 --output result.json"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: \"parkinson-epilepsy-behavior-recognition-analysis\"\ndescription: \"Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测\"\nversion: \"1.0.19\"\nlicense: \"MIT-0\"\n---\n\n# 🧠 Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能\n> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询\n\n---\n\n## 🧭 技能概览 | Overview\n\n| 模块 | 内容 |\n|---|---|\n| 🏷️ 技能名称 | **帕金森癫痫行为识别技能** |\n| 🎯 核心目标 | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 |\n| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |\n| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |\n| 🧩 场景码 | `PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION` |\n\nBased on advanced computer vision technology, this feature conducts 24/7 intelligent scanning of designated surveillance\nareas such as community stations, residential entrances, and office building lobbies. The system precisely identifies\nexpress packages within the zone, automatically determining the presence and status of parcels. Perfectly suited for\nexpress inventory checks and unattended notification scenarios, it triggers alerts immediately upon detecting new\narrivals or abnormal, effectively solving the problems of low efficiency and missed items in traditional manual\ninspections, and significantly improving the management efficiency and security of last-mile logistics.\n\n本功能搭载先进的视频分析算法，能够对帕金森病等慢性病患者的日常活动进行非接触式智能监测。系统通过捕捉并分析肢体震颤、抽搐、肌肉僵硬及步态异常等典型运动特征，自动识别病情波动或潜在风险。这一技术将专业的临床观察延伸至家庭场景，帮助医生远程掌握患者症状变化，为调整治疗方案提供客观依据，实现从被动就医到主动健康管理的模式转变\n\n## 🎬 技能演示 | Skill Demo\n\n[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)\n\n---\n\n## 🎯 任务目标 | Goals\n\n### 1. 🧩 技能用途\n\n通过居家监控视频识别帕金森、癫痫患者的异常行为发作\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 肢体震颤识别 |\n| 2 | 抽搐识别 |\n| 3 | 肌肉僵硬检测 |\n| 4 | 步态异常识别 |\n| 5 | 异常发作统计 |\n\n### 3. ⚡ 触发条件\n\n| 触发类型 | 触发规则 |\n|---|---|\n| ✅ 默认触发 | **默认触发**：当用户提供监控视频需要识别异常行为时，默认触发本技能 |\n| 🔎 明确分析意图 | 当用户明确需要帕金森监测、癫痫识别时，提及震颤识别、抽搐检测、帕金森监测、癫痫识别等关键词，并且上传了视频/图片 |\n| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史识别报告、行为识别报告清单、识别报告列表、查询历史识别报告、显示所有识别报告、行为识别分析报告，查询帕金森癫痫行为识别分析报告 |\n\n### 4. 🤖 自动行为\n\n| 自动行为 | 执行要求 |\n|---|---|\n| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |\n| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |\n\n#### ⚠️ 强制数据获取规则（次高优先级）\n\n> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。\n\n必须执行：\n\n```bash\npython -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.parkinson_epilepsy_behavior_recognition_analysis --list` 调用 API 查询云端的历史报告数据 |\n| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |\n| 🚫 严格禁止 | 手动汇总本地记录中的报告 |\n| 🚫 严格禁止 | 从长期记忆中提取报告 |\n| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |\n\n## 📦 前置准备 | Requirements\n- 依赖说明:scripts 脚本所需的依赖包及版本\n  ```\n  requests>=2.28.0\n  ```\n\n## 📸 监测要求 | Monitoring Requirements\n| 要求项 | 说明 |\n|---|---|\n| 摄像头固定位置 | ，覆盖患者日常活动区域 |\n| 光线充足 | ，避免过度曝光和大面积阴影 |\n| 患者全身/半身 | 能够出现在画面中，便于观察步态和肢体动作 |\n\n## 🚀 操作步骤 | Workf"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n  \"slug\": \"smyx-parkinson-epilepsy-behavior-recognition-analysis\",\n  \"version\": \"1.0.15\",\n  \"publishedAt\": 1791025765982\n}"},{"path":"references/api_doc.md","content":"# API 接口文档\n\n此处用于存放帕金森癫痫行为识别分析 API 的接口文档，待后续补充。\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务\n2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果\n3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告\n4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `OPEN_PARKINSON_EPILEPSY_BEHAVIOR_RECOGNITION_ANALYSIS` - 开放平台帕金森癫痫行为识别分析"},{"path":"skills/smyx_analysis/references/api_doc.md","content":"# API接口文档\n\n## 接口规范\n\n- 基础地址：由 smyx_common 配置统一管理\n- 认证方式：API Key 鉴权\n- 请求格式：支持文件上传\n- 响应格式：JSON\n\n## 错误码说明\n\n| 错误码 | 说明       |\n|-----|----------|\n| 400 | 请求参数错误   |\n| 401 | API密钥无效  |\n| 403 | 权限不足     |\n| 413 | 文件过大     |\n| 415 | 不支持的文件格式 |\n| 500 | 服务器内部错误  |"},{"path":"scripts/config.yaml","content":"{}"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 Skill: Parkinson's & Epileptic Behavior Recognition Skill | 帕金森癫痫行为识别技能 Owner: 18072937735 Summary: Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅助慢性病患者居家风险监测 Tags: latest:1.0.15 Version history: v1.0.15 | 2026-10-03T11:09:25.","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":888,"uniquenessScore":50,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-09T18:46:14.537Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-09T18:46:14.537Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-10T01:21:41.906Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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