{"id":"fa183f3b-67db-4762-8937-5f4626f447c8","entityType":"agent","slug":"clawhub-18072937735-smyx-pet-stool-morphology-recognition-analy","name":"Pet Stool Morphology Recognition Analysis | 宠物排便形态识别（狗厕所/户外）","canonicalUrl":"https://www.xpersona.co/agent/clawhub-18072937735-smyx-pet-stool-morphology-recognition-analy","canonicalPath":"/agent/clawhub-18072937735-smyx-pet-stool-morphology-recognition-analy","generatedAt":"2026-10-10T21:53:18.636Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-10T18:09:51.519Z","emptyReason":null},"description":"Triggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis; supports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool color (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus, outputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without diagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring, multi-pet households. | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。","descriptionLabel":"Source description","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.3K downloads reported by the source. 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宠物排便形态识别（狗厕所/户外）\n\nOwner: 18072937735\n\nSummary: Triggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis; supports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool color (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus, outputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without diagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring, multi-pet households. | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\n\nTags: latest:1.0.7\n\nVersion history:\n\nv1.0.7 | 2026-09-30T20:47:44.625Z | auto\n\n- Version number updated to 1.0.18.\n- Documentation file SKILL.md revised, likely reflecting minor content updates.\n- The file skill-card.md was removed.\n\nv1.0.6 | 2026-09-27T14:05:42.013Z | auto\n\n- Updated version to 1.0.17.\n- SKILL.md revised: version bumped, but core workflow, abilities, and examples remain unchanged.\n- Removed the redundant file: skill-card.md.\n- Minor config adjustments in skills/smyx_common/scripts/config.yaml.\n- No visible functional changes to end users.\n\nv1.0.5 | 2026-09-01T19:29:28.588Z | auto\n\n- Updated version to 1.0.14.\n- Revised and expanded documentation in SKILL.md for greater clarity and accuracy.\n- Made updates to configuration and utility script files.\n- Removed deprecated skill-card.md file.\n\nv1.0.4 | 2026-07-07T18:27:39.128Z | auto\n\n- Bumped version to 1.0.5.\n- Updated documentation in SKILL.md.\n- Removed the redundant skill-card.md file.\n- Made adjustments to skills/smyx_common/scripts/config.py and skills/smyx_common/scripts/util.py for refinement or consistency.\n\nv1.0.3 | 2026-06-29T12:08:31.763Z | auto\n\n- Updated to version 1.0.4.\n- Revised documentation for improved clarity and structure in SKILL.md.\n- Adjusted AI role description to use a table format.\n- Updated the Skill Demo link to a new URL.\n- Updated ability and workflow sections for consistency and readability.\n- Removed extraneous file: skill-card.md.\n- No changes to core functionality or API; only documentation and presentation improvements.\n\nv1.0.2 | 2026-06-24T14:30:30.180Z | auto\n\n**Skill 1.0.2 Changelog**\n\n- Updated user identity handling: Skill now processes user identity internally and no longer requests or exposes open-id or similar information to the user.\n- Revised documentation (SKILL.md): All descriptions emphasize automated identity management, clearer usage flows, and stricter privacy requirements.\n- Removed files related to outdated API handling and UI skill card.\n- Updated script parameters and sample commands to align with new internal identity workflow.\n- Improved error prevention and compliance: Strictly prohibits identity prompts, manual local report lookup, and direct exposure of user identity.\n\nv1.0.1 | 2026-06-20T09:07:26.567Z | auto\n\n- Updated version to 1.0.3 and added license information.\n- Changed config file path: now searches for scripts/config.yaml within the skill directory instead of skills/smyx_common/scripts/config.yaml.\n- Removed references to skills/smyx_common in open-id acquisition steps and throughout the documentation.\n- Deleted obsolete file: skill-card.md.\n- No changes to skill functionality or API usage; documentation and configuration structure improved for clarity and maintainability.\n\nv1.0.0 | 2026-05-21T17:27:43.223Z | auto\n\nInitial release of smyx-pet-stool-morphology-recognition-analysis.\n\n- Analyze dog toilet or outdoor dog-walking area images/videos for pet stool morphology.\n- Supports color (brown, black, red, white), shape (formed, loose, watery, granular), and blood/mucus presence detection.\n- Triggers via local file uploads, network URLs, and specific user requests.\n- Outputs standardized observation features to help early detection of gastrointestinal issues (no diagnosis or treatment).\n- Includes strict open-id acquisition workflow and consistent cloud-based history report retrieval.\n- Designed for dog toilets, outdoor monitoring, multi-pet households, and pet health tracking scenarios.\n\nArchive index:\n\nArchive v1.0.7: 31 files, 38890 bytes\n\nFiles: references/api_doc.md (680b), scripts/__init__.py (60b), scripts/config.py (699b), scripts/config.yaml (3b), scripts/skill.py (595b), scripts/smyx_pet_stool_morphology_recognition_analysis.py (3610b), skill-card.md (2112b), SKILL.md (11573b), 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 (165b)\n\nFile v1.0.7:SKILL.md\n\n---\nname: \"smyx-pet-stool-morphology-recognition-analysis\"\ndescription: \"Triggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis; supports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool color (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus, outputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without diagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring, multi-pet households. | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\"\nversion: \"1.0.18\"\nlicense: \"MIT-0\"\n---\n\n# 💩 Pet Stool Morphology Recognition Analysis | 宠物排便形态识别（狗厕所/户外）\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 | **宠物排便形态识别（狗厕所/户外）** |\n| 🎯 核心目标 | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。 |\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 | `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` |\n\nTriggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis;\nsupports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool\ncolor (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus,\noutputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without\ndiagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring,\nmulti-pet households.\n\n当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\n\n## 🤖 AI 角色 | AI Role\n| 角色要点 | 说明 |\n|---|---|\n| 说明 1 | **你是一个专业的宠物健康监测AI。你的任务是基于宠物排便区域的图像或视频帧，分析粪便的形态特征（颜色、形状、有无带血或粘液），输出标准化观察结果。不要提供疾病诊断或治疗方案，仅客观描述粪便外观。 ** |\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通过狗厕所或户外遛狗路径区域的图像/视频进行宠物排便形态识别分析，获取标准化的观察结果和异常特征提示，帮助早期发现肠胃疾病\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 图像/视频分析 |\n| 2 | 粪便颜色识别（棕 |\n| 3 | 黑 |\n| 4 | 红 |\n| 5 | 白） |\n| 6 | 粪便形状识别（条状 |\n| 7 | 稀糊 |\n| 8 | 颗粒） |\n| 9 | 带血/粘液检测 |\n| 10 | 异常特征输出 |\n| 11 | 肠胃健康风险提示 |\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**：当用户提供狗厕所或户外遛狗路径区域的图像/视频 URL 或文件需要分析时，默认触发本技能进行排便形态识别 |\n| 🔎 明确分析意图 | 当用户明确需要进行宠物排便监测时，提及狗厕所、遛狗、户外排便、粪便分析、粪便颜色、粪便形状、便血、粘液便、稀便、肠胃异常等关键词，并且上传了图片/视频文件 |\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** ：查看历史排便报告、历史排便形态报告、排便分析报告清单、查询排便记录、显示所有狗厕所报告、显示排便形态识别报告，查询肠胃健康风险提示报告 |\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.smyx_pet_stool_morphology_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.smyx_pet_stool_morphology_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## 🚀 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 | 📥 准备图像/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 | ⚙️ 执行排便形态识别分析 | 调用 `-m scripts.smyx_pet_stool_morphology_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` | 本地图像/视频文件路径 | 适用于本地文件分析 |\n| `--url` | 网络图像/视频 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--pet-type` | 宠物类型，可选值：cat/dog/other，默认 dog | 按需填写 |\n| `--list` | 显示宠物排便形态历史分析报告列表清单（可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/smyx_pet_stool_morphology_recognition_analysis.py`](scripts/smyx_pet_stool_morphology_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 | 文件要求：支持 jpg/jpeg/png/bmp/webp 图像 与 mp4/avi/mov 视频，最大 10MB |\n| 🧑‍⚖️ 结果性质 | 分析结果仅供健康参考，不提供疾病诊断或治疗建议 |\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 | 传入的网络地址参数，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# 分析本地狗厕所/户外排便图像或视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input /path/to/dog_stool.jpg --pet-type dog\n\n# 分析网络狗厕所/户外排便视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --url https://example.com/dog_stool.mp4 --pet-type dog\n\n# 显示历史分析报告清单（自动触发关键词：查看历史排便报告、排便形态报告清单等）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --detail basic\n\n# 保存结果到文件\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --output result.json\n```\n\nFile v1.0.7:_meta.json\n\n{\n \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n \"slug\": \"smyx-pet-stool-morphology-recognition-analysis\",\n \"version\": \"1.0.7\",\n \"publishedAt\": 1790801264625\n}\n\nFile v1.0.7:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放宠物排便形态识别 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- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动排便形态识别分析任务\n2. `/web/ai-analysis/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. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` - 宠物排便形态识别（狗厕所/户外）\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:\n\nAnalyzes dog-toilet or walking-path images and videos for stool color, shape, blood, and mucus, returning observational findings rather than a medical diagnosis.\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\nPet owners and caretakers use this skill to review stool appearance in dog-toilet or outdoor-walking footage and identify observations worth following up; it does not diagnose disease.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Private household or walking-path images and videos may be sent to the provider's cloud APIs.\n\nMitigation: Use only media whose cloud transfer is acceptable; avoid private household footage unless these data flows are approved.\n\nRisk: The skill creates or reuses a persistent cloud-linked identity and stores tokens locally.\n\nMitigation: Review local credential persistence and access before installation; use a workspace appropriate for those tokens.\n\nRisk: Matching history-request phrases can trigger cloud report queries without clear end-user consent controls.\n\nMitigation: Confirm authorization before requesting history and review whether automatic cloud queries are acceptable.\n\n## Reference(s):\n\n- [Skill 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 observation report or JSON; history results may include report links]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Optional result file; observational findings are not a diagnosis]\n\n## Skill Version(s):\n\n1.0.7 (source: server-resolved release metadata; bundled SKILL.md declares 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 v1.0.7: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, 38890 bytes\n\nFiles: references/api_doc.md (680b), scripts/__init__.py (60b), scripts/config.py (699b), scripts/config.yaml (3b), scripts/skill.py (595b), scripts/smyx_pet_stool_morphology_recognition_analysis.py (3610b), skill-card.md (2125b), SKILL.md (11573b), 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 (165b)\n\nFile v1.0.6:SKILL.md\n\n---\nname: \"smyx-pet-stool-morphology-recognition-analysis\"\ndescription: \"Triggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis; supports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool color (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus, outputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without diagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring, multi-pet households. | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\"\nversion: \"1.0.17\"\nlicense: \"MIT-0\"\n---\n\n# 💩 Pet Stool Morphology Recognition Analysis | 宠物排便形态识别（狗厕所/户外）\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 | **宠物排便形态识别（狗厕所/户外）** |\n| 🎯 核心目标 | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。 |\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 | `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` |\n\nTriggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis;\nsupports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool\ncolor (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus,\noutputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without\ndiagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring,\nmulti-pet households.\n\n当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\n\n## 🤖 AI 角色 | AI Role\n| 角色要点 | 说明 |\n|---|---|\n| 说明 1 | **你是一个专业的宠物健康监测AI。你的任务是基于宠物排便区域的图像或视频帧，分析粪便的形态特征（颜色、形状、有无带血或粘液），输出标准化观察结果。不要提供疾病诊断或治疗方案，仅客观描述粪便外观。 ** |\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通过狗厕所或户外遛狗路径区域的图像/视频进行宠物排便形态识别分析，获取标准化的观察结果和异常特征提示，帮助早期发现肠胃疾病\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 图像/视频分析 |\n| 2 | 粪便颜色识别（棕 |\n| 3 | 黑 |\n| 4 | 红 |\n| 5 | 白） |\n| 6 | 粪便形状识别（条状 |\n| 7 | 稀糊 |\n| 8 | 颗粒） |\n| 9 | 带血/粘液检测 |\n| 10 | 异常特征输出 |\n| 11 | 肠胃健康风险提示 |\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**：当用户提供狗厕所或户外遛狗路径区域的图像/视频 URL 或文件需要分析时，默认触发本技能进行排便形态识别 |\n| 🔎 明确分析意图 | 当用户明确需要进行宠物排便监测时，提及狗厕所、遛狗、户外排便、粪便分析、粪便颜色、粪便形状、便血、粘液便、稀便、肠胃异常等关键词，并且上传了图片/视频文件 |\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** ：查看历史排便报告、历史排便形态报告、排便分析报告清单、查询排便记录、显示所有狗厕所报告、显示排便形态识别报告，查询肠胃健康风险提示报告 |\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.smyx_pet_stool_morphology_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.smyx_pet_stool_morphology_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## 🚀 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 | 📥 准备图像/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 | ⚙️ 执行排便形态识别分析 | 调用 `-m scripts.smyx_pet_stool_morphology_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` | 本地图像/视频文件路径 | 适用于本地文件分析 |\n| `--url` | 网络图像/视频 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--pet-type` | 宠物类型，可选值：cat/dog/other，默认 dog | 按需填写 |\n| `--list` | 显示宠物排便形态历史分析报告列表清单（可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/smyx_pet_stool_morphology_recognition_analysis.py`](scripts/smyx_pet_stool_morphology_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 | 文件要求：支持 jpg/jpeg/png/bmp/webp 图像 与 mp4/avi/mov 视频，最大 10MB |\n| 🧑‍⚖️ 结果性质 | 分析结果仅供健康参考，不提供疾病诊断或治疗建议 |\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 | 传入的网络地址参数，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# 分析本地狗厕所/户外排便图像或视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input /path/to/dog_stool.jpg --pet-type dog\n\n# 分析网络狗厕所/户外排便视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --url https://example.com/dog_stool.mp4 --pet-type dog\n\n# 显示历史分析报告清单（自动触发关键词：查看历史排便报告、排便形态报告清单等）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --detail basic\n\n# 保存结果到文件\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --output result.json\n```\n\nFile v1.0.6:_meta.json\n\n{\n \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n \"slug\": \"smyx-pet-stool-morphology-recognition-analysis\",\n \"version\": \"1.0.6\",\n \"publishedAt\": 1790517942013\n}\n\nFile v1.0.6:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放宠物排便形态识别 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- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动排便形态识别分析任务\n2. `/web/ai-analysis/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. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` - 宠物排便形态识别（狗厕所/户外）\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:\n\nAnalyzes dog stool images or videos from local files or URLs for color, consistency, and visible abnormalities, producing observational reports rather than diagnoses.\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\nPet owners and care teams use the skill to review dog stool imagery from toilets or outdoor paths, identify observable changes, and retrieve prior reports. Results support monitoring, not veterinary diagnosis or treatment.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Pet-health images or videos are sent to a remote service for analysis.\n\nMitigation: Use only non-sensitive media and confirm that remote processing is acceptable before uploading.\n\nRisk: The skill can silently create or reuse an identity, register or log in remotely, and retrieve identity-linked cloud report history.\n\nMitigation: Use an account and identity you control, and review access to stored reports before running the skill.\n\nRisk: Local tokens and a generated user record may persist in the workspace data directory.\n\nMitigation: Protect the workspace data directory and remove saved credentials and records when no longer needed.\n\n## Reference(s):\n\n- [Pet stool analysis API documentation](references/api_doc.md)\n- [ClawHub skill release](https://clawhub.ai/18072937735/skills/smyx-pet-stool-morphology-recognition-analysis)\n\n## Skill Output:\n\n**Output Type(s):** [Analysis, Guidance]\n\n**Output Format:** [Markdown or JSON]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Structured observations and optional report links or saved results; not a diagnosis.]\n\n## Skill Version(s):\n\n1.0.6 (source: ClawHub release metadata; bundled skill frontmatter says 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 v1.0.6: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\n\nArchive v1.0.5: 31 files, 39084 bytes\n\nFiles: references/api_doc.md (680b), scripts/__init__.py (60b), scripts/config.py (699b), scripts/config.yaml (3b), scripts/skill.py (595b), scripts/smyx_pet_stool_morphology_recognition_analysis.py (3610b), skill-card.md (2596b), SKILL.md (11573b), 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 (165b)\n\nFile v1.0.5:SKILL.md\n\n---\nname: \"smyx-pet-stool-morphology-recognition-analysis\"\ndescription: \"Triggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis; supports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool color (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus, outputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without diagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring, multi-pet households. | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\"\nversion: \"1.0.14\"\nlicense: \"MIT-0\"\n---\n\n# 💩 Pet Stool Morphology Recognition Analysis | 宠物排便形态识别（狗厕所/户外）\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 | **宠物排便形态识别（狗厕所/户外）** |\n| 🎯 核心目标 | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。 |\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 | `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` |\n\nTriggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis;\nsupports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool\ncolor (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus,\noutputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without\ndiagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring,\nmulti-pet households.\n\n当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\n\n## 🤖 AI 角色 | AI Role\n| 角色要点 | 说明 |\n|---|---|\n| 说明 1 | **你是一个专业的宠物健康监测AI。你的任务是基于宠物排便区域的图像或视频帧，分析粪便的形态特征（颜色、形状、有无带血或粘液），输出标准化观察结果。不要提供疾病诊断或治疗方案，仅客观描述粪便外观。 ** |\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通过狗厕所或户外遛狗路径区域的图像/视频进行宠物排便形态识别分析，获取标准化的观察结果和异常特征提示，帮助早期发现肠胃疾病\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 图像/视频分析 |\n| 2 | 粪便颜色识别（棕 |\n| 3 | 黑 |\n| 4 | 红 |\n| 5 | 白） |\n| 6 | 粪便形状识别（条状 |\n| 7 | 稀糊 |\n| 8 | 颗粒） |\n| 9 | 带血/粘液检测 |\n| 10 | 异常特征输出 |\n| 11 | 肠胃健康风险提示 |\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**：当用户提供狗厕所或户外遛狗路径区域的图像/视频 URL 或文件需要分析时，默认触发本技能进行排便形态识别 |\n| 🔎 明确分析意图 | 当用户明确需要进行宠物排便监测时，提及狗厕所、遛狗、户外排便、粪便分析、粪便颜色、粪便形状、便血、粘液便、稀便、肠胃异常等关键词，并且上传了图片/视频文件 |\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** ：查看历史排便报告、历史排便形态报告、排便分析报告清单、查询排便记录、显示所有狗厕所报告、显示排便形态识别报告，查询肠胃健康风险提示报告 |\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.smyx_pet_stool_morphology_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.smyx_pet_stool_morphology_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## 🚀 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 | 📥 准备图像/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 | ⚙️ 执行排便形态识别分析 | 调用 `-m scripts.smyx_pet_stool_morphology_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` | 本地图像/视频文件路径 | 适用于本地文件分析 |\n| `--url` | 网络图像/视频 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--pet-type` | 宠物类型，可选值：cat/dog/other，默认 dog | 按需填写 |\n| `--list` | 显示宠物排便形态历史分析报告列表清单（可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/smyx_pet_stool_morphology_recognition_analysis.py`](scripts/smyx_pet_stool_morphology_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 | 文件要求：支持 jpg/jpeg/png/bmp/webp 图像 与 mp4/avi/mov 视频，最大 10MB |\n| 🧑‍⚖️ 结果性质 | 分析结果仅供健康参考，不提供疾病诊断或治疗建议 |\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 | 传入的网络地址参数，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# 分析本地狗厕所/户外排便图像或视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input /path/to/dog_stool.jpg --pet-type dog\n\n# 分析网络狗厕所/户外排便视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --url https://example.com/dog_stool.mp4 --pet-type dog\n\n# 显示历史分析报告清单（自动触发关键词：查看历史排便报告、排便形态报告清单等）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --detail basic\n\n# 保存结果到文件\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --output result.json\n```\n\nFile v1.0.5:_meta.json\n\n{\n \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n \"slug\": \"smyx-pet-stool-morphology-recognition-analysis\",\n \"version\": \"1.0.5\",\n \"publishedAt\": 1788290968588\n}\n\nFile v1.0.5:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放宠物排便形态识别 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- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动排便形态识别分析任务\n2. `/web/ai-analysis/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. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` - 宠物排便形态识别（狗厕所/户外）\n\nFile v1.0.5: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 v1.0.5:scripts/config.yaml\n\n{}\n\nFile v1.0.5:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.5: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 v1.0.5: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 v1.0.5: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 v1.0.5:skill-card.md\n\n## Description:\n\nAnalyzes dog stool images or videos from dog toilets or outdoor walking paths by calling a remote service to identify stool color, shape, and possible blood or mucus, returning structured observation results without diagnosing disease.\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 pet-care users and developers use this skill to submit dog stool media for morphology analysis and to retrieve cloud-stored historical analysis reports. The output is intended for observation and health monitoring support, not veterinary diagnosis or treatment advice.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Uploaded media, identifiers, and report history may be sent to or stored by the vendor service.\n\nMitigation: Use only non-sensitive sample media in an isolated test environment until the publisher documents account creation, upload handling, and retention behavior.\n\nRisk: Development HTTP defaults and raw HTTP debug logging can expose requests, identifiers, or tokens.\n\nMitigation: Do not deploy in a normal workspace until HTTPS is required, debug request logging is disabled, and tokens are stored in a secure credential store.\n\nRisk: The analysis can support health monitoring but is not a medical diagnosis.\n\nMitigation: Present results as observational signals only and direct users to a veterinarian for diagnosis or treatment decisions.\n\n## Reference(s):\n\n- [Pet stool morphology API 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- [ClawHub skill page](https://clawhub.ai/18072937735/skills/smyx-pet-stool-morphology-recognition-analysis)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, json]\n\n**Output Format:** [Structured text or JSON, with Markdown report lists when showing historical reports]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May include report links returned by the remote service; local output files can be written when the user supplies an output path.]\n\n## Skill Version(s):\n\n1.0.5 (source: server release metadata; artifact frontmatter says 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 v1.0.5:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.5:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.4: 31 files, 38985 bytes\n\nFiles: references/api_doc.md (680b), scripts/__init__.py (60b), scripts/config.py (699b), scripts/config.yaml (3b), scripts/skill.py (595b), scripts/smyx_pet_stool_morphology_recognition_analysis.py (3610b), skill-card.md (2627b), SKILL.md (11572b), 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 (28605b), _meta.json (165b)\n\nFile v1.0.4:SKILL.md\n\n---\nname: \"smyx-pet-stool-morphology-recognition-analysis\"\ndescription: \"Triggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis; supports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool color (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus, outputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without diagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring, multi-pet households. | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\"\nversion: \"1.0.5\"\nlicense: \"MIT-0\"\n---\n\n# 💩 Pet Stool Morphology Recognition Analysis | 宠物排便形态识别（狗厕所/户外）\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 | **宠物排便形态识别（狗厕所/户外）** |\n| 🎯 核心目标 | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。 |\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 | `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` |\n\nTriggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis;\nsupports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool\ncolor (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus,\noutputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without\ndiagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring,\nmulti-pet households.\n\n当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\n\n## 🤖 AI 角色 | AI Role\n| 角色要点 | 说明 |\n|---|---|\n| 说明 1 | **你是一个专业的宠物健康监测AI。你的任务是基于宠物排便区域的图像或视频帧，分析粪便的形态特征（颜色、形状、有无带血或粘液），输出标准化观察结果。不要提供疾病诊断或治疗方案，仅客观描述粪便外观。 ** |\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通过狗厕所或户外遛狗路径区域的图像/视频进行宠物排便形态识别分析，获取标准化的观察结果和异常特征提示，帮助早期发现肠胃疾病\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 图像/视频分析 |\n| 2 | 粪便颜色识别（棕 |\n| 3 | 黑 |\n| 4 | 红 |\n| 5 | 白） |\n| 6 | 粪便形状识别（条状 |\n| 7 | 稀糊 |\n| 8 | 颗粒） |\n| 9 | 带血/粘液检测 |\n| 10 | 异常特征输出 |\n| 11 | 肠胃健康风险提示 |\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**：当用户提供狗厕所或户外遛狗路径区域的图像/视频 URL 或文件需要分析时，默认触发本技能进行排便形态识别 |\n| 🔎 明确分析意图 | 当用户明确需要进行宠物排便监测时，提及狗厕所、遛狗、户外排便、粪便分析、粪便颜色、粪便形状、便血、粘液便、稀便、肠胃异常等关键词，并且上传了图片/视频文件 |\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** ：查看历史排便报告、历史排便形态报告、排便分析报告清单、查询排便记录、显示所有狗厕所报告、显示排便形态识别报告，查询肠胃健康风险提示报告 |\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.smyx_pet_stool_morphology_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.smyx_pet_stool_morphology_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## 🚀 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 | 📥 准备图像/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 | ⚙️ 执行排便形态识别分析 | 调用 `-m scripts.smyx_pet_stool_morphology_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` | 本地图像/视频文件路径 | 适用于本地文件分析 |\n| `--url` | 网络图像/视频 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--pet-type` | 宠物类型，可选值：cat/dog/other，默认 dog | 按需填写 |\n| `--list` | 显示宠物排便形态历史分析报告列表清单（可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/smyx_pet_stool_morphology_recognition_analysis.py`](scripts/smyx_pet_stool_morphology_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 | 文件要求：支持 jpg/jpeg/png/bmp/webp 图像 与 mp4/avi/mov 视频，最大 10MB |\n| 🧑‍⚖️ 结果性质 | 分析结果仅供健康参考，不提供疾病诊断或治疗建议 |\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 | 传入的网络地址参数，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# 分析本地狗厕所/户外排便图像或视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input /path/to/dog_stool.jpg --pet-type dog\n\n# 分析网络狗厕所/户外排便视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --url https://example.com/dog_stool.mp4 --pet-type dog\n\n# 显示历史分析报告清单（自动触发关键词：查看历史排便报告、排便形态报告清单等）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --detail basic\n\n# 保存结果到文件\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --output result.json\n```\n\nFile v1.0.4:_meta.json\n\n{\n \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n \"slug\": \"smyx-pet-stool-morphology-recognition-analysis\",\n \"version\": \"1.0.4\",\n \"publishedAt\": 1783448859128\n}\n\nFile v1.0.4:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放宠物排便形态识别 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- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动排便形态识别分析任务\n2. `/web/ai-analysis/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. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` - 宠物排便形态识别（狗厕所/户外）\n\nFile v1.0.4: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 v1.0.4:scripts/config.yaml\n\n{}\n\nFile v1.0.4:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.4: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 v1.0.4: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 v1.0.4: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 v1.0.4:skill-card.md\n\n## Description:
\nAnalyzes dog-toilet or outdoor dog-walking image or video inputs with cloud APIs to identify pet stool color, shape, and visible blood or mucus, returning structured observations and report links without diagnosing disease.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[18072937735](https://clawhub.ai/user/18072937735)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal users and pet-health workflow developers use this skill to route dog stool images, videos, or URLs to a hosted analysis service for standardized morphology observations, abnormal-feature prompts, report links, and historical report lookup. Results are intended for monitoring support and do not provide disease diagnosis or treatment advice.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: The skill sends pet images, videos, or URLs to Life Emergence services for analysis.
\nMitigation: Use it only with media you are permitted to upload, and ask the publisher for retention, deletion, and downstream-use documentation before handling sensitive footage.
\nRisk: The skill may create or reuse a persistent local identity, store token-like values, and retrieve historical reports.
\nMitigation: Run it in an isolated workspace, review local data storage before and after use, and confirm how account linkage and report history can be deleted or reset.
\nRisk: The output can be mistaken for medical advice even though the skill only describes stool appearance.
\nMitigation: Present results as non-diagnostic observations and route health concerns to a veterinarian or qualified professional.
\n\n\n## Reference(s):
\n- [API documentation](references/api_doc.md)
\n- [Skill demo](https://lifeemergence.com/sample.html)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, markdown, shell commands, guidance]
\n**Output Format:** [Markdown and JSON analysis reports, with optional saved text output.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [May include structured stool-feature observations, abnormal-feature prompts, report links, and historical report tables.]
\n\n## Skill Version(s):
\n1.0.4 (source: server release metadata; artifact frontmatter says 1.0.5)
\n\n## Ethical Considerations:
\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 v1.0.4:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.4:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.3: 31 files, 38525 bytes\n\nFiles: references/api_doc.md (680b), scripts/__init__.py (60b), scripts/config.py (699b), scripts/config.yaml (3b), scripts/skill.py (595b), scripts/smyx_pet_stool_morphology_recognition_analysis.py (3610b), skill-card.md (2474b), SKILL.md (11572b), 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 (28169b), _meta.json (165b)\n\nFile v1.0.3:SKILL.md\n\n---\nname: \"smyx-pet-stool-morphology-recognition-analysis\"\ndescription: \"Triggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis; supports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool color (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus, outputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without diagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring, multi-pet households. | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\"\nversion: \"1.0.4\"\nlicense: \"MIT-0\"\n---\n\n# 💩 Pet Stool Morphology Recognition Analysis | 宠物排便形态识别（狗厕所/户外）\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 | **宠物排便形态识别（狗厕所/户外）** |\n| 🎯 核心目标 | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。 |\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 | `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` |\n\nTriggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis;\nsupports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool\ncolor (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus,\noutputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without\ndiagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring,\nmulti-pet households.\n\n当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\n\n## 🤖 AI 角色 | AI Role\n| 角色要点 | 说明 |\n|---|---|\n| 说明 1 | **你是一个专业的宠物健康监测AI。你的任务是基于宠物排便区域的图像或视频帧，分析粪便的形态特征（颜色、形状、有无带血或粘液），输出标准化观察结果。不要提供疾病诊断或治疗方案，仅客观描述粪便外观。 ** |\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通过狗厕所或户外遛狗路径区域的图像/视频进行宠物排便形态识别分析，获取标准化的观察结果和异常特征提示，帮助早期发现肠胃疾病\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 图像/视频分析 |\n| 2 | 粪便颜色识别（棕 |\n| 3 | 黑 |\n| 4 | 红 |\n| 5 | 白） |\n| 6 | 粪便形状识别（条状 |\n| 7 | 稀糊 |\n| 8 | 颗粒） |\n| 9 | 带血/粘液检测 |\n| 10 | 异常特征输出 |\n| 11 | 肠胃健康风险提示 |\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**：当用户提供狗厕所或户外遛狗路径区域的图像/视频 URL 或文件需要分析时，默认触发本技能进行排便形态识别 |\n| 🔎 明确分析意图 | 当用户明确需要进行宠物排便监测时，提及狗厕所、遛狗、户外排便、粪便分析、粪便颜色、粪便形状、便血、粘液便、稀便、肠胃异常等关键词，并且上传了图片/视频文件 |\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** ：查看历史排便报告、历史排便形态报告、排便分析报告清单、查询排便记录、显示所有狗厕所报告、显示排便形态识别报告，查询肠胃健康风险提示报告 |\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.smyx_pet_stool_morphology_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.smyx_pet_stool_morphology_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## 🚀 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 | 📥 准备图像/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 | ⚙️ 执行排便形态识别分析 | 调用 `-m scripts.smyx_pet_stool_morphology_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` | 本地图像/视频文件路径 | 适用于本地文件分析 |\n| `--url` | 网络图像/视频 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--pet-type` | 宠物类型，可选值：cat/dog/other，默认 dog | 按需填写 |\n| `--list` | 显示宠物排便形态历史分析报告列表清单（可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/smyx_pet_stool_morphology_recognition_analysis.py`](scripts/smyx_pet_stool_morphology_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 | 文件要求：支持 jpg/jpeg/png/bmp/webp 图像 与 mp4/avi/mov 视频，最大 10MB |\n| 🧑‍⚖️ 结果性质 | 分析结果仅供健康参考，不提供疾病诊断或治疗建议 |\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 | 传入的网络地址参数，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# 分析本地狗厕所/户外排便图像或视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input /path/to/dog_stool.jpg --pet-type dog\n\n# 分析网络狗厕所/户外排便视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --url https://example.com/dog_stool.mp4 --pet-type dog\n\n# 显示历史分析报告清单（自动触发关键词：查看历史排便报告、排便形态报告清单等）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --detail basic\n\n# 保存结果到文件\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --output result.json\n```\n\nFile v1.0.3:_meta.json\n\n{\n \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n \"slug\": \"smyx-pet-stool-morphology-recognition-analysis\",\n \"version\": \"1.0.3\",\n \"publishedAt\": 1782734911763\n}\n\nFile v1.0.3:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放宠物排便形态识别 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- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动排便形态识别分析任务\n2. `/web/ai-analysis/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. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` - 宠物排便形态识别（狗厕所/户外）\n\nFile v1.0.3: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 v1.0.3:scripts/config.yaml\n\n{}\n\nFile v1.0.3:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.3: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 v1.0.3: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 v1.0.3: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 v1.0.3:skill-card.md\n\n## Description:
\nAnalyzes dog toilet or outdoor walking-path images and videos through cloud APIs to report stool color, morphology, blood or mucus indicators, abnormal observations, and related history without providing diagnosis or treatment.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[18072937735](https://clawhub.ai/user/18072937735)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal users and pet-care developers use this skill to submit dog stool images, videos, or URLs for structured morphology observations and historical report lookup. The output supports pet health monitoring workflows but should not be used as a veterinary diagnosis.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Pet toilet or walking-path images, videos, and report history are sent to the configured Life Emergence cloud service.
\nMitigation: Use only with media and report history that may be shared with that service, and avoid submitting sensitive bystander or location-identifying content when possible.
\nRisk: The skill can silently reuse or create an internal account identity and store API keys or tokens in local workspace files or SQLite storage.
\nMitigation: Review or isolate data/smyx-api-key.txt and the workspace database before use, especially in shared workspaces.
\n\n\n## Reference(s):
\n- [ClawHub Skill Page](https://clawhub.ai/18072937735/skills/smyx-pet-stool-morphology-recognition-analysis)
\n- [Skill Demo](https://lifeemergence.com/sample.html)
\n- [API Documentation](references/api_doc.md)
\n- [Analysis API Documentation](skills/smyx_analysis/references/api_doc.md)
\n\n\n## Skill Output:
\n**Output Type(s):** [analysis, markdown, shell commands, configuration, guidance]
\n**Output Format:** [Markdown and JSON-style structured analysis reports with optional saved output files]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [May include report links and history tables returned by the configured cloud service.]
\n\n## Skill Version(s):
\n1.0.3 (source: server release metadata)
\n\n## Ethical Considerations:
\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 v1.0.3:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.3:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.2: 31 files, 35860 bytes\n\nFiles: references/api_doc.md (680b), scripts/__init__.py (60b), scripts/config.py (699b), scripts/config.yaml (3b), scripts/skill.py (595b), scripts/smyx_pet_stool_morphology_recognition_analysis.py (3610b), skill-card.md (2531b), SKILL.md (11616b), 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 (13468b), skills/smyx_common/scripts/skill.py (2473b), skills/smyx_common/scripts/util.py (23409b), _meta.json (165b)\n\nFile v1.0.2:SKILL.md\n\n---\nname: \"smyx-pet-stool-morphology-recognition-analysis\"\ndescription: \"Triggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis; supports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool color (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus, outputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without diagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring, multi-pet households. | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\"\nversion: \"1.0.3\"\nlicense: \"MIT-0\"\n---\n\n# 💩 Pet Stool Morphology Recognition Analysis | 宠物排便形态识别（狗厕所/户外）\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 | **宠物排便形态识别（狗厕所/户外）** |\n| 🎯 核心目标 | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。 |\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 | `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` |\n\nTriggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis;\nsupports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool\ncolor (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus,\noutputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without\ndiagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring,\nmulti-pet households.\n\n当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\n\n## 🤖 AI 角色 | AI Role\n**你是一个专业的宠物健康监测AI。你的任务是基于宠物排便区域的图像或视频帧，分析粪便的形态特征（颜色、形状、有无带血或粘液），输出标准化观察结果。不要提供疾病诊断或治疗方案，仅客观描述粪便外观。\n**\n\n## 🎬 技能演示 | Skill Demo\n\n[▶️ 点击查看技能使用介绍](https://lifeemergence.com/guide.html)\n\n---\n\n## 🎯 任务目标 | Goals\n\n### 1. 🧩 技能用途\n\n通过狗厕所或户外遛狗路径区域的图像/视频进行宠物排便形态识别分析，获取标准化的观察结果和异常特征提示，帮助早期发现肠胃疾病\n\n### 2. 🛠️ 能力范围\n\n| 能力类型 | 具体能力 |\n|---|---|\n| 能力 1 | 图像/视频分析 |\n| 能力 2 | 粪便颜色识别（棕 |\n| 能力 3 | 黑 |\n| 能力 4 | 红 |\n| 能力 5 | 白） |\n| 能力 6 | 粪便形状识别（条状 |\n| 能力 7 | 稀糊 |\n| 能力 8 | 颗粒） |\n| 能力 9 | 带血/粘液检测 |\n| 能力 10 | 异常特征输出 |\n| 能力 11 | 肠胃健康风险提示 |\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**：当用户提供狗厕所或户外遛狗路径区域的图像/视频 URL 或文件需要分析时，默认触发本技能进行排便形态识别 |\n| 🔎 明确分析意图 | 当用户明确需要进行宠物排便监测时，提及狗厕所、遛狗、户外排便、粪便分析、粪便颜色、粪便形状、便血、粘液便、稀便、肠胃异常等关键词，并且上传了图片/视频文件 |\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** ：查看历史排便报告、历史排便形态报告、排便分析报告清单、查询排便记录、显示所有狗厕所报告、显示排便形态识别报告，查询肠胃健康风险提示报告 |\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.smyx_pet_stool_morphology_recognition_analysis --list\n```\n\n| 类型 | 要求 |\n|---|---|\n| ✅ 必须 | 使用 `python -m scripts.smyx_pet_stool_morphology_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## 🚀 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 | 📥 准备图像/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 | ⚙️ 执行排便形态识别分析 | 调用 `-m scripts.smyx_pet_stool_morphology_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` | 本地图像/视频文件路径 | 适用于本地文件分析 |\n| `--url` | 网络图像/视频 URL 地址（API 服务自动下载） | API 服务自动下载网络资源 |\n| `--pet-type` | 宠物类型，可选值：cat/dog/other，默认 dog | 按需填写 |\n| `--list` | 显示宠物排便形态历史分析报告列表清单（可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/smyx_pet_stool_morphology_recognition_analysis.py`](scripts/smyx_pet_stool_morphology_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 | 文件要求：支持 jpg/jpeg/png/bmp/webp 图像 与 mp4/avi/mov 视频，最大 10MB |\n| 🧑‍⚖️ 结果性质 | 分析结果仅供健康参考，不提供疾病诊断或治疗建议 |\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 | 传入的网络地址参数，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 `reportImageUrl` 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# 分析本地狗厕所/户外排便图像或视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input /path/to/dog_stool.jpg --pet-type dog\n\n# 分析网络狗厕所/户外排便视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --url https://example.com/dog_stool.mp4 --pet-type dog\n\n# 显示历史分析报告清单（自动触发关键词：查看历史排便报告、排便形态报告清单等）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --detail basic\n\n# 保存结果到文件\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --output result.json\n```\n\nFile v1.0.2:_meta.json\n\n{\n \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n \"slug\": \"smyx-pet-stool-morphology-recognition-analysis\",\n \"version\": \"1.0.2\",\n \"publishedAt\": 1782311430180\n}\n\nFile v1.0.2:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放宠物排便形态识别 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- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动排便形态识别分析任务\n2. `/web/ai-analysis/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. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` - 宠物排便形态识别（狗厕所/户外）\n\nFile v1.0.2: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 v1.0.2:scripts/config.yaml\n\n{}\n\nFile v1.0.2:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.2: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 v1.0.2: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 v1.0.2: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 v1.0.2:skill-card.md\n\n## Description:
\nAnalyzes dog toilet or outdoor dog-walking image and video inputs to report pet stool color, shape, and visible blood or mucus as observation features without diagnosing disease.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[18072937735](https://clawhub.ai/user/18072937735)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal users and pet-health monitoring workflows use this skill to submit dog stool-area images or videos and receive structured observation reports for stool morphology and abnormal feature screening. The skill is for observation support only and does not provide veterinary diagnosis or treatment advice.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Pet images, videos, URLs, account-linked identifiers, and report history may be sent to the publisher's remote services.
\nMitigation: Use only when that data sharing is acceptable, confirm privacy and retention terms before deployment, and avoid sensitive media or URLs.
\nRisk: The skill silently creates or reuses a persistent local identity and token store for report history access.
\nMitigation: Use isolated workspaces for different users, avoid shared environments unless identity isolation is guaranteed, and know how to delete the local data/smyx-common-claw.db store.
\nRisk: Stool morphology output can be mistaken for medical diagnosis or treatment advice.
\nMitigation: Treat results as observation support only and escalate concerning findings to a qualified veterinarian.
\n\n\n## Reference(s):
\n- [Pet stool morphology API documentation](references/api_doc.md)
\n- [Skill usage guide](https://lifeemergence.com/guide.html)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, markdown, shell commands, configuration, guidance]
\n**Output Format:** [Markdown or JSON analysis report, with optional saved text output]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [May include structured observation fields, risk prompts, recommendations, report links, and remote history-list results.]
\n\n## Skill Version(s):
\n1.0.2 (source: server release metadata)
\n\n## Ethical Considerations:
\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 v1.0.2:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.2:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.1: 32 files, 35755 bytes\n\nFiles: references/api_doc.md (680b), scripts/__init__.py (60b), scripts/api_service.py (1704b), scripts/config.py (699b), scripts/config.yaml (3b), scripts/skill.py (595b), scripts/smyx_pet_stool_morphology_recognition_analysis.py (3594b), skill-card.md (2809b), SKILL.md (11022b), skills/smyx_analysis/__init__.py (0b), skills/smyx_analysis/references/api_doc.md (2094b), skills/smyx_analysis/requirements.txt (45b), skills/smyx_analysis/scripts/__init__.py (0b), skills/smyx_analysis/scripts/api_service.py (1857b), 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 (3706b), 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 (529b), skills/smyx_common/scripts/dao.py (11891b), skills/smyx_common/scripts/skill.py (2473b), skills/smyx_common/scripts/util.py (19613b), _meta.json (165b)\n\nFile v1.0.1:SKILL.md\n\n---\nname: \"smyx-pet-stool-morphology-recognition-analysis\"\ndescription: \"Triggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis; supports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool color (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus, outputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without diagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring, multi-pet households. | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\"\nversion: \"1.0.3\"\nlicense: \"MIT-0\"\n---\n\n# Pet Stool Morphology Recognition Analysis | 宠物排便形态识别（狗厕所/户外）\n\nTriggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis;\nsupports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool\ncolor (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus,\noutputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without\ndiagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring,\nmulti-pet households.\n\n当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\n\n## 🎯 AI 角色\n\n**你是一个专业的宠物健康监测AI。你的任务是基于宠物排便区域的图像或视频帧，分析粪便的形态特征（颜色、形状、有无带血或粘液），输出标准化观察结果。不要提供疾病诊断或治疗方案，仅客观描述粪便外观。\n**\n\n## 任务目标\n\n- 本 Skill 用于：通过狗厕所或户外遛狗路径区域的图像/视频进行宠物排便形态识别分析，获取标准化的观察结果和异常特征提示，帮助早期发现肠胃疾病\n- 能力包含：图像/视频分析、粪便颜色识别（棕、黑、红、白）、粪便形状识别（条状、稀糊、颗粒）、带血/粘液检测、异常特征输出、肠胃健康风险提示\n- 触发条件:\n 1. **默认触发**：当用户提供狗厕所或户外遛狗路径区域的图像/视频 URL 或文件需要分析时，默认触发本技能进行排便形态识别\n 2. 当用户明确需要进行宠物排便监测时，提及狗厕所、遛狗、户外排便、粪便分析、粪便颜色、粪便形状、便血、粘液便、稀便、肠胃异常等关键词，并且上传了图片/视频文件\n 3. 当用户提及以下关键词时，**自动触发历史报告查询功能**\n ：查看历史排便报告、历史排便形态报告、排便分析报告清单、查询排便记录、显示所有狗厕所报告、显示排便形态识别报告，查询肠胃健康风险提示报告\n- 自动行为：\n 1. 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 2. **⚠️ 强制数据获取规则（次高优先级）**：如果用户触发任何历史报告查询关键词（如\"查看所有排便报告\"、\"\n 显示所有排便形态报告\"、\"查看历史报告\"等），**必须**：\n - 直接使用 `python -m scripts.smyx_pet_stool_morphology_recognition_analysis --list --open-id` 参数调用 API\n 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、严格禁止手动汇总本地记录中的报告、严格禁止从长期记忆中提取报告\n - **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\n\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## 操作步骤\n\n### 🔒 open-id 获取流程控制（强制执行，防止遗漏）\n\n**在执行排便形态识别分析前，必须按以下优先级顺序获取 open-id：**\n\n```\n第 1 步：【最高优先级】检查技能所在目录的配置文件（优先）\n 路径：scripts/config.yaml（相对于技能根目录）\n 完整路径示例：${OPENCLAW_WORKSPACE}/skills/{当前技能目录}/scripts/config.yaml\n → 如果文件存在且配置了 api-key 字段，则读取 api-key 作为 open-id\n ↓ (未找到/未配置/api-key 为空)\n第 2 步：检查 workspace 公共目录的配置文件\n 路径：${OPENCLAW_WORKSPACE}/skills/smyx_common/scripts/config.yaml\n → 如果文件存在且配置了 api-key 字段，则读取 api-key 作为 open-id\n ↓ (未找到/未配置)\n第 3 步：检查用户是否在消息中明确提供了 open-id\n ↓ (未提供)\n第 4 步：❗ 必须暂停执行，明确提示用户提供用户名或手机号作为 open-id\n```\n\n**⚠️ 关键约束：**\n\n- **禁止**自行假设,自行推导,自行生成 open-id 值（如 openclaw-control-ui、default、userC113、user123 等）\n- **禁止**跳过 open-id 验证直接调用 API\n- **必须**在获取到有效 open-id 后才能继续执行分析\n- 如果用户拒绝提供 open-id，说明用途（用于保存和查询历史报告记录），并询问是否继续\n\n---\n\n- 标准流程:\n 1. **准备图像/视频输入**\n - 提供本地图像/视频文件路径或网络 URL\n - 确保画面清晰展示粪便目标区域（狗厕所托盘或户外路径），光线充足、无明显遮挡\n 2. **获取 open-id（强制执行）**\n - 按上述流程控制获取 open-id\n - 如无法获取，必须提示用户提供用户名或手机号\n 3. **执行排便形态识别分析**\n - 调用 `-m scripts.smyx_pet_stool_morphology_recognition_analysis` 处理图像/视频文件（**必须在技能根目录下运行脚本\n **）\n - 参数说明:\n - `--input`: 本地图像/视频文件路径\n - `--url`: 网络图像/视频 URL 地址（API 服务自动下载）\n - `--pet-type`: 宠物类型，可选值：cat/dog/other，默认 dog\n - `--open-id`: 当前用户的 open-id（必填，按上述流程获取）\n - `--list`: 显示宠物排便形态历史分析报告列表清单（可输入起始日期参数过滤数据范围）\n - `--api-key`: API 访问密钥（可选）\n - `--api-url`: API 服务地址（可选，使用默认值）\n - `--detail`: 输出详细程度（basic/standard/json，默认 json）\n - `--output`: 结果输出文件路径（可选）\n 4. **查看分析结果**\n - 接收结构化的排便形态观察报告\n -\n 包含：粪便颜色分析（棕色/正常、黑色/疑似上消化道出血、红色/便血、白色/灰白色/疑似胆道异常）、粪便形状分析（正常条状、稀软不成形、水样状、颗粒状干硬便）、带血检测（表面血迹、血丝、黑便）、粘液检测（透明粘液、果冻状粘液）、异常特征汇总、肠胃健康风险提示\n - **重要提示**：仅客观描述观察到的现象，不提供疾病诊断或治疗建议\n\n## 资源索引\n\n-\n\n必要脚本：见 [scripts/smyx_pet_stool_morphology_recognition_analysis.py](scripts/smyx_pet_stool_morphology_recognition_analysis.py)(\n用途：调用 API 进行排便形态识别分析，本地文件上传，网络 URL 由 API 服务自动下载)\n\n- 配置文件：见 [scripts/config.py](scripts/config.py)(用途：配置 API 地址、默认参数和场景代码)\n- 领域参考：见 [references/api_doc.md](references/api_doc.md)(何时读取：需要了解 API 接口详细规范和错误码时)\n\n## 注意事项\n\n- 仅在需要时读取参考文档，保持上下文简洁\n- 文件要求：支持 jpg/jpeg/png/bmp/webp 图像 与 mp4/avi/mov 视频，最大 10MB\n- API 密钥可选，如果通过参数传入则必须确保调用鉴权成功，否则忽略鉴权\n- 分析结果仅供健康参考，不提供疾病诊断或治疗建议\n- 禁止临时生成脚本，只能用技能本身的脚本\n- 传入的网络地址参数，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- 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 `reportImageUrl` 作为超链接地址，且自动转化为如下 Markdown\n 表格格式输出，包含\"\n 报告名称\"、\"宠物类型\"、\"分析时间\"、\"点击查看\"四列，其中\"报告名称\"列使用`排便形态识别报告-{记录id}`形式拼接, \"点击查看\"\n 列使用\n `[🔗 查看报告](reportImageUrl)`\n 格式的超链接，用户点击即可直接跳转到对应的完整报告页面。\n- 表格输出示例：\n | 报告名称 | 宠物类型 | 分析时间 | 点击查看 |\n |----------|----------|----------|----------|\n | 排便形态识别报告-20260521235900001 | 狗 | 2026-05-21 23:59:00 | [🔗 查看报告](https://example.com/report?id=xxx) |\n\n## 使用示例\n\n```bash\n# 分析本地狗厕所/户外排便图像或视频（以下只是示例，禁止直接使用 openclaw-control-ui 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input /path/to/dog_stool.jpg --pet-type dog --open-id your-open-id\n\n# 分析网络狗厕所/户外排便视频（以下只是示例，禁止直接使用 openclaw-control-ui 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --url https://example.com/dog_stool.mp4 --pet-type dog --open-id your-open-id\n\n# 显示历史分析报告清单（自动触发关键词：查看历史排便报告、排便形态报告清单等）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --list --open-id your-open-id\n\n# 输出精简报告\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --open-id your-open-id --detail basic\n\n# 保存结果到文件\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --open-id your-open-id --output result.json\n```\n\nFile v1.0.1:_meta.json\n\n{\n \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n \"slug\": \"smyx-pet-stool-morphology-recognition-analysis\",\n \"version\": \"1.0.1\",\n \"publishedAt\": 1781946446567\n}\n\nFile v1.0.1:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放宠物排便形态识别 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- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动排便形态识别分析任务\n2. `/web/ai-analysis/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. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` - 宠物排便形态识别（狗厕所/户外）\n\nFile v1.0.1:skills/smyx_analysis/references/api_doc.md\n\n# API接口文档\n\n## 接口地址\n\n`POST https://your-api-server.com/api/v1/common-analysis`\n\n## 请求头\n\n| 字段 | 必选 | 说明 |\n|--------------|----|-------------------------------|\n| X-API-Key | 是 | API访问密钥 |\n| Content-Type | 是 | 文件上传或 application/json（URL模式） |\n\n## 请求参数\n\n### 1. 文件上传模式\n\n| 字段 | 类型 | 必选 | 说明 |\n|--------------|--------|----|---------------------------------------|\n| video | file | 是 | MP4视频文件 |\n| detail_level | string | 否 | 输出详细程度：basic/standard/full，默认standard |\n\n### 2. URL模式\n\n| 字段 | 类型 | 必选 | 说明 |\n|--------------|--------|----|---------------------------------------|\n| video_url | string | 是 | 可公开访问的视频URL |\n| detail_level | string | 否 | 输出详细程度：basic/standard/full，默认standard |\n\n## 响应格式\n\n```json\n{\n \"code\": 200,\n \"message\": \"success\",\n \"data\": {\n \"analysis_time\": \"2026-03-10 15:30:00\",\n \"face_detection\": {\n \"status\": \"success\",\n \"face_count\": 1,\n \"quality_score\": 95\n },\n \"diagnosis\": {\n \"overall_constitution\": \"平和质\",\n \"organ_condition\": {\n \"liver\": \"正常\",\n \"heart\": \"轻微火旺\",\n \"spleen\": \"略虚\",\n \"lung\": \"正常\",\n \"kidney\": \"正常\"\n },\n \"color_analysis\": {\n \"complexion\": \"微黄\",\n \"correspondence\": \"脾胃功能略弱\"\n }\n },\n \"health_warnings\": [\n \"注意休息，避免熬夜\"\n ],\n \"suggestions\": [\n \"饮食清淡，减少辛辣食物摄入\"\n ]\n }\n}\n```\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 v1.0.1:scripts/config.yaml\n\n{}\n\nFile v1.0.1:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.1: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 v1.0.1: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 v1.0.1: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\napi-key: ak_d5SUcPkfRHabvy72KZKNLhETdN1qdO1XCzhHcxroaWM\nenv: prod\n\nFile v1.0.1:skill-card.md\n\n## Description:
\nAnalyzes pet stool images or videos from dog toilets or outdoor walking paths through a cloud API to report stool color, shape, blood or mucus indicators, and non-diagnostic gastrointestinal risk observations.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[18072937735](https://clawhub.ai/user/18072937735)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal users and developers use this skill to submit pet-area image or video inputs and receive structured pet stool morphology observations. It can also query cloud-hosted historical analysis reports for the same user identifier.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: Pet-area images or videos are sent to the Life Emergence/SMYX cloud service for analysis.
\nMitigation: Use only inputs appropriate for external cloud processing and review cloud data handling before using sensitive household or location footage.
\nRisk: The skill uses a persistent open-id and may accept phone-like identifiers for report history and cloud access.
\nMitigation: Prefer an opaque identifier instead of a phone number, avoid using API keys as user IDs, and review who can access cloud report history.
\nRisk: Local token/profile storage and cloud report retrieval may expose account or history data if the environment is shared.
\nMitigation: Review local configuration and token storage, restrict workspace access, and clear credentials when the skill is no longer needed.
\nRisk: Stool morphology observations may be mistaken for veterinary diagnosis.
\nMitigation: Treat outputs as observational pet-health information only and consult a veterinarian for diagnosis or treatment decisions.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/18072937735/smyx-pet-stool-morphology-recognition-analysis)
\n- [API documentation](references/api_doc.md)
\n\n\n## Skill Output:
\n**Output Type(s):** [text, markdown, json, shell commands, configuration guidance]
\n**Output Format:** [Markdown or JSON analysis reports, with optional shell command examples and saved text output files.]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Requires an image/video file or public URL and an open-id; history lookup returns cloud report records and report links.]
\n\n## Skill Version(s):
\n1.0.1 (source: server release metadata; artifact frontmatter reports 1.0.3)
\n\n## Ethical Considerations:
\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 v1.0.1:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.1:skills/smyx_common/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nPyYAML==6.0.3\n\nArchive v1.0.0: 32 files, 35267 bytes\n\nFiles: references/api_doc.md (680b), scripts/__init__.py (60b), scripts/api_service.py (1704b), scripts/config.py (699b), scripts/config.yaml (3b), scripts/skill.py (595b), scripts/smyx_pet_stool_morphology_recognition_analysis.py (3579b), skill-card.md (2599b), SKILL.md (11043b), skills/smyx_analysis/__init__.py (0b), skills/smyx_analysis/references/api_doc.md (2094b), skills/smyx_analysis/requirements.txt (45b), skills/smyx_analysis/scripts/__init__.py (0b), skills/smyx_analysis/scripts/api_service.py (1857b), skills/smyx_analysis/scripts/config.py (1003b), skills/smyx_analysis/scripts/config.yaml (3b), skills/smyx_analysis/scripts/skill.py (11112b), skills/smyx_analysis/scripts/smyx_analysis.py (3691b), skills/smyx_common/__init__.py (0b), skills/smyx_common/requirements.txt (2218b), skills/smyx_common/scripts/__init__.py (177b), skills/smyx_common/scripts/api_service.py (2518b), 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 (10531b), skills/smyx_common/scripts/config.yaml (463b), skills/smyx_common/scripts/dao.py (11119b), skills/smyx_common/scripts/skill.py (2473b), skills/smyx_common/scripts/util.py (18382b), _meta.json (165b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: \"smyx-pet-stool-morphology-recognition-analysis\"\ndescription: \"Triggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis; supports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool color (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus, outputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without diagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring, multi-pet households. | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\"\nversion: \"1.0.0\"\n---\n\n# Pet Stool Morphology Recognition Analysis | 宠物排便形态识别（狗厕所/户外）\n\nTriggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis;\nsupports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool\ncolor (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus,\noutputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without\ndiagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring,\nmulti-pet households.\n\n当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\n\n## 🎯 AI 角色\n\n**你是一个专业的宠物健康监测AI。你的任务是基于宠物排便区域的图像或视频帧，分析粪便的形态特征（颜色、形状、有无带血或粘液），输出标准化观察结果。不要提供疾病诊断或治疗方案，仅客观描述粪便外观。\n**\n\n## 任务目标\n\n- 本 Skill 用于：通过狗厕所或户外遛狗路径区域的图像/视频进行宠物排便形态识别分析，获取标准化的观察结果和异常特征提示，帮助早期发现肠胃疾病\n- 能力包含：图像/视频分析、粪便颜色识别（棕、黑、红、白）、粪便形状识别（条状、稀糊、颗粒）、带血/粘液检测、异常特征输出、肠胃健康风险提示\n- 触发条件:\n 1. **默认触发**：当用户提供狗厕所或户外遛狗路径区域的图像/视频 URL 或文件需要分析时，默认触发本技能进行排便形态识别\n 2. 当用户明确需要进行宠物排便监测时，提及狗厕所、遛狗、户外排便、粪便分析、粪便颜色、粪便形状、便血、粘液便、稀便、肠胃异常等关键词，并且上传了图片/视频文件\n 3. 当用户提及以下关键词时，**自动触发历史报告查询功能**\n ：查看历史排便报告、历史排便形态报告、排便分析报告清单、查询排便记录、显示所有狗厕所报告、显示排便形态识别报告，查询肠胃健康风险提示报告\n- 自动行为：\n 1. 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 2. **⚠️ 强制数据获取规则（次高优先级）**：如果用户触发任何历史报告查询关键词（如\"查看所有排便报告\"、\"\n 显示所有排便形态报告\"、\"查看历史报告\"等），**必须**：\n - 直接使用 `python -m scripts.smyx_pet_stool_morphology_recognition_analysis --list --open-id` 参数调用 API\n 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、严格禁止手动汇总本地记录中的报告、严格禁止从长期记忆中提取报告\n - **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\n\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## 操作步骤\n\n### 🔒 open-id 获取流程控制（强制执行，防止遗漏）\n\n**在执行排便形态识别分析前，必须按以下优先级顺序获取 open-id：**\n\n```\n第 1 步：【最高优先级】检查技能所在目录的配置文件（优先）\n 路径：skills/smyx_common/scripts/config.yaml（相对于技能根目录）\n 完整路径示例：${OPENCLAW_WORKSPACE}/skills/{当前技能目录}/skills/smyx_common/scripts/config.yaml\n → 如果文件存在且配置了 api-key 字段，则读取 api-key 作为 open-id\n ↓ (未找到/未配置/api-key 为空)\n第 2 步：检查 workspace 公共目录的配置文件\n 路径：${OPENCLAW_WORKSPACE}/skills/smyx_common/scripts/config.yaml\n → 如果文件存在且配置了 api-key 字段，则读取 api-key 作为 open-id\n ↓ (未找到/未配置)\n第 3 步：检查用户是否在消息中明确提供了 open-id\n ↓ (未提供)\n第 4 步：❗ 必须暂停执行，明确提示用户提供用户名或手机号作为 open-id\n```\n\n**⚠️ 关键约束：**\n\n- **禁止**自行假设,自行推导,自行生成 open-id 值（如 openclaw-control-ui、default、userC113、user123 等）\n- **禁止**跳过 open-id 验证直接调用 API\n- **必须**在获取到有效 open-id 后才能继续执行分析\n- 如果用户拒绝提供 open-id，说明用途（用于保存和查询历史报告记录），并询问是否继续\n\n---\n\n- 标准流程:\n 1. **准备图像/视频输入**\n - 提供本地图像/视频文件路径或网络 URL\n - 确保画面清晰展示粪便目标区域（狗厕所托盘或户外路径），光线充足、无明显遮挡\n 2. **获取 open-id（强制执行）**\n - 按上述流程控制获取 open-id\n - 如无法获取，必须提示用户提供用户名或手机号\n 3. **执行排便形态识别分析**\n - 调用 `-m scripts.smyx_pet_stool_morphology_recognition_analysis` 处理图像/视频文件（**必须在技能根目录下运行脚本\n **）\n - 参数说明:\n - `--input`: 本地图像/视频文件路径\n - `--url`: 网络图像/视频 URL 地址（API 服务自动下载）\n - `--pet-type`: 宠物类型，可选值：cat/dog/other，默认 dog\n - `--open-id`: 当前用户的 open-id（必填，按上述流程获取）\n - `--list`: 显示宠物排便形态历史分析报告列表清单（可输入起始日期参数过滤数据范围）\n - `--api-key`: API 访问密钥（可选）\n - `--api-url`: API 服务地址（可选，使用默认值）\n - `--detail`: 输出详细程度（basic/standard/json，默认 json）\n - `--output`: 结果输出文件路径（可选）\n 4. **查看分析结果**\n - 接收结构化的排便形态观察报告\n -\n 包含：粪便颜色分析（棕色/正常、黑色/疑似上消化道出血、红色/便血、白色/灰白色/疑似胆道异常）、粪便形状分析（正常条状、稀软不成形、水样状、颗粒状干硬便）、带血检测（表面血迹、血丝、黑便）、粘液检测（透明粘液、果冻状粘液）、异常特征汇总、肠胃健康风险提示\n - **重要提示**：仅客观描述观察到的现象，不提供疾病诊断或治疗建议\n\n## 资源索引\n\n-\n\n必要脚本：见 [scripts/smyx_pet_stool_morphology_recognition_analysis.py](scripts/smyx_pet_stool_morphology_recognition_analysis.py)(\n用途：调用 API 进行排便形态识别分析，本地文件上传，网络 URL 由 API 服务自动下载)\n\n- 配置文件：见 [scripts/config.py](scripts/config.py)(用途：配置 API 地址、默认参数和场景代码)\n- 领域参考：见 [references/api_doc.md](references/api_doc.md)(何时读取：需要了解 API 接口详细规范和错误码时)\n\n## 注意事项\n\n- 仅在需要时读取参考文档，保持上下文简洁\n- 文件要求：支持 jpg/jpeg/png/bmp/webp 图像 与 mp4/avi/mov 视频，最大 10MB\n- API 密钥可选，如果通过参数传入则必须确保调用鉴权成功，否则忽略鉴权\n- 分析结果仅供健康参考，不提供疾病诊断或治疗建议\n- 禁止临时生成脚本，只能用技能本身的脚本\n- 传入的网络地址参数，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- 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 `reportImageUrl` 作为超链接地址，且自动转化为如下 Markdown\n 表格格式输出，包含\"\n 报告名称\"、\"宠物类型\"、\"分析时间\"、\"点击查看\"四列，其中\"报告名称\"列使用`排便形态识别报告-{记录id}`形式拼接, \"点击查看\"\n 列使用\n `[🔗 查看报告](reportImageUrl)`\n 格式的超链接，用户点击即可直接跳转到对应的完整报告页面。\n- 表格输出示例：\n | 报告名称 | 宠物类型 | 分析时间 | 点击查看 |\n |----------|----------|----------|----------|\n | 排便形态识别报告-20260521235900001 | 狗 | 2026-05-21 23:59:00 | [🔗 查看报告](https://example.com/report?id=xxx) |\n\n## 使用示例\n\n```bash\n# 分析本地狗厕所/户外排便图像或视频（以下只是示例，禁止直接使用 openclaw-control-ui 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input /path/to/dog_stool.jpg --pet-type dog --open-id your-open-id\n\n# 分析网络狗厕所/户外排便视频（以下只是示例，禁止直接使用 openclaw-control-ui 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --url https://example.com/dog_stool.mp4 --pet-type dog --open-id your-open-id\n\n# 显示历史分析报告清单（自动触发关键词：查看历史排便报告、排便形态报告清单等）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --list --open-id your-open-id\n\n# 输出精简报告\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --open-id your-open-id --detail basic\n\n# 保存结果到文件\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --open-id your-open-id --output result.json\n```\n\nFile v1.0.0:_meta.json\n\n{\n \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n \"slug\": \"smyx-pet-stool-morphology-recognition-analysis\",\n \"version\": \"1.0.0\",\n \"publishedAt\": 1779384463223\n}\n\nFile v1.0.0:references/api_doc.md\n\n# API 接口文档\n\n此处用于存放宠物排便形态识别 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- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动排便形态识别分析任务\n2. `/web/ai-analysis/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. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` - 宠物排便形态识别（狗厕所/户外）\n\nFile v1.0.0:skills/smyx_analysis/references/api_doc.md\n\n# API接口文档\n\n## 接口地址\n\n`POST https://your-api-server.com/api/v1/common-analysis`\n\n## 请求头\n\n| 字段 | 必选 | 说明 |\n|--------------|----|-------------------------------|\n| X-API-Key | 是 | API访问密钥 |\n| Content-Type | 是 | 文件上传或 application/json（URL模式） |\n\n## 请求参数\n\n### 1. 文件上传模式\n\n| 字段 | 类型 | 必选 | 说明 |\n|--------------|--------|----|---------------------------------------|\n| video | file | 是 | MP4视频文件 |\n| detail_level | string | 否 | 输出详细程度：basic/standard/full，默认standard |\n\n### 2. URL模式\n\n| 字段 | 类型 | 必选 | 说明 |\n|--------------|--------|----|---------------------------------------|\n| video_url | string | 是 | 可公开访问的视频URL |\n| detail_level | string | 否 | 输出详细程度：basic/standard/full，默认standard |\n\n## 响应格式\n\n```json\n{\n \"code\": 200,\n \"message\": \"success\",\n \"data\": {\n \"analysis_time\": \"2026-03-10 15:30:00\",\n \"face_detection\": {\n \"status\": \"success\",\n \"face_count\": 1,\n \"quality_score\": 95\n },\n \"diagnosis\": {\n \"overall_constitution\": \"平和质\",\n \"organ_condition\": {\n \"liver\": \"正常\",\n \"heart\": \"轻微火旺\",\n \"spleen\": \"略虚\",\n \"lung\": \"正常\",\n \"kidney\": \"正常\"\n },\n \"color_analysis\": {\n \"complexion\": \"微黄\",\n \"correspondence\": \"脾胃功能略弱\"\n }\n },\n \"health_warnings\": [\n \"注意休息，避免熬夜\"\n ],\n \"suggestions\": [\n \"饮食清淡，减少辛辣食物摄入\"\n ]\n }\n}\n```\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 v1.0.0:scripts/config.yaml\n\n{}\n\nFile v1.0.0:skills/smyx_analysis/scripts/config.yaml\n\n{}\n\nFile v1.0.0: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 v1.0.0: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 v1.0.0:skills/smyx_common/scripts/config.yaml\n\nenv: prod\n\nApiEnum:\n api-key:\n api-secret-key:\n database-url:\n base-url-open-api: \"https://open.lifeemergence.com/smyx-open-api\"\n base-url-open-h5: \"http://livemonitor.lifeemergence.com\"\n base-url-health: \"https://lifeemergence.com/jeecg-boot-xzgz\"\n\nConstantEnum:\n is-debug: false\n app--id: x1a3s4nwy1s2r4se\n current--tentant-code: \"XIAN_ZHAO_GAN_ZHI\"\n feishu-app--id: cli_a93d769369badcb1\n feishu-app--secret:\n default--skill-platform-name: ARK_CLAW\n\nFile v1.0.0:skill-card.md\n\n## Description:
\nAnalyzes dog toilet or outdoor dog-walking images and videos through a cloud API to report stool color, shape, and visible blood or mucus observations without providing diagnosis or treatment advice.
\n\nThis skill is ready for commercial/non-commercial use.
\n\n## Publisher:
\n[18072937735](https://clawhub.ai/user/18072937735)
\n\n### License/Terms of Use:
\nMIT-0
\n\n\n## Use Case:
\nExternal users and pet health monitoring operators use this skill to submit dog toilet or outdoor path images or videos for stool color, shape, blood, and mucus observations. It can also retrieve cloud-hosted historical report lists, while keeping outputs to observation support rather than medical diagnosis or treatment guidance.
\n\n### Deployment Geography for Use:
\nGlobal
\n\n## Known Risks and Mitigations:
\nRisk: The skill uploads pet images or videos, report history requests, and a username or phone-number-like identifier to LifeEmergence/SMYX cloud endpoints.
\nMitigation: Use only when that data sharing is acceptable, confirm account, token, report storage, retention, and deletion practices first, and prefer a pseudonymous identifier when accepted.
\nRisk: The server security summary flags under-disclosed account creation, token storage, and mismatched shared API code.
\nMitigation: Review the cloud service behavior and shared API configuration before deployment, and restrict use to trusted environments until those details are confirmed.
\n\n\n## Reference(s):
\n- [ClawHub skill page](https://clawhub.ai/18072937735/smyx-pet-stool-morphology-recognition-analysis)
\n- [Pet stool morphology API documentation](references/api_doc.md)
\n- [Shared SMYX analysis API documentation](skills/smyx_analysis/references/api_doc.md)
\n\n\n## Skill Output:
\n**Output Type(s):** [Text, Markdown, JSON, Shell commands, Configuration, Guidance]
\n**Output Format:** [Markdown and JSON-style structured observation reports, with command-line examples and optional saved output files]
\n**Output Parameters:** [1D]
\n**Other Properties Related to Output:** [Requires an open-id value and sends media or URL inputs to cloud analysis endpoints.]
\n\n## Skill Version(s):
\n1.0.0 (source: server release metadata and SKILL.md frontmatter)
\n\n## Ethical Considerations:
\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 v1.0.0:skills/smyx_analysis/requirements.txt\n\npydash==8.0.6\nSQLAlchemy==2.0.46\nyaml==6.0.3\n\nFile v1.0.0:skills/smyx_common/requirements.txt\n\naltgraph==0.17.5\nannotated-doc==0.0.4\nannotated-types==0.7.0\nanyio==4.12.1\nAPScheduler==3.11.2\nastroid==3.1.0\nAuthlib==1.6.6\nblinker==1.4\ncachetools==6.2.6\ncertifi==2026.1.4\ncffi==2.0.0\nchardet==5.2.0\ncharset-normalizer==3.4.4\nclick==8.3.1\ncoverage==7.13.2\ncoze-workload-identity==0.1.7\ncozeloop==0.1.19\ncryptography==3.4.8\nCython==3.2.4\ndbus-python==1.2.18\ndill==0.4.1\ndistro==1.7.0\ndistro-info==1.1+ubuntu0.2\net_xmlfile==2.0.0\nfastapi==0.121.2\ngitdb==4.0.12\ngitignore_parser==0.1.13\nGitPython==3.1.45\ngreenlet==3.3.1\nh11==0.16.0\nhttpcore==1.0.9\nhttplib2==0.20.2\nhttpx==0.28.1\nhttpx-ws==0.8.2\nidna==3.11\nimportlib-metadata==4.6.4\ninflect==7.5.0\niniconfig==2.3.0\nisort==5.13.2\njeepney==0.7.1\nJinja2==3.1.6\njiter==0.12.0\njsonpatch==1.33\njsonpointer==3.0.0\nkeyring==23.5.0\nlangchain==1.0.3\nlangchain-core==1.0.2\nlangchain-openai==1.0.1\nlanggraph==1.0.2\nlanggraph-checkpoint==3.0.0\nlanggraph-prebuilt==1.0.2\nlanggraph-sdk==0.2.9\nlangsmith==0.4.39\nlaunchpadlib==1.10.16\nlazr.restfulclient==0.14.4\nlazr.uri==1.0.6\nmarkdown-it-py==4.0.0\nMarkupSafe==3.0.3\nmccabe==0.7.0\nmdurl==0.1.2\nmore-itertools==8.10.0\nnumpy==2.4.1\noauthlib==3.2.0\nopenai==2.16.0\nopenpyxl==3.1.5\norjson==3.11.5\normsgpack==1.12.2\npackaging==25.0\npandas==2.3.3\nplatformdirs==4.5.1\npluggy==1.6.0\npsutil==7.1.3\npsycopg2-binary==2.9.11\npydantic==2.12.4\npydantic_core==2.41.5\npydash==8.0.6\nPygments==2.19.2\nPyGObject==3.42.1\npyinstaller==6.18.0\npyinstaller-hooks-contrib==2026.0\nPyJWT==2.10.1\npylint==3.1.0\nPyMySQL==1.1.2\npyparsing==2.4.7\npytest==9.0.1\npytest-asyncio==1.3.0\npytest-cov==7.0.0\npytest-mock==3.15.1\npython-apt==2.4.0+ubuntu4.1\npython-dateutil==2.9.0.post0\npytz==2025.2\nPyYAML==6.0.3\nregex==2026.1.15\nrequests==2.32.5\nrequests-toolbelt==1.0.0\nrich==14.2.0\nSecretStorage==3.3.1\nsetuptools==80.9.0\nsix==1.16.0\nsmmap==5.0.2\nsniffio==1.3.1\nsqlacodegen==3.2.0\nSQLAlchemy==2.0.46\nstarlette==0.49.3\nsupervisor==4.2.1\ntenacity==9.1.2\ntiktoken==0.12.0\ntomlkit==0.14.0\ntypeguard==4.4.4\ntyping-inspection==0.4.2\ntyping_extensions==4.15.0\ntzdata==2025.3\ntzlocal==5.3.1\nunattended-upgrades==0.1\nurllib3==2.6.3\nuvicorn==0.38.0\nwadllib==1.3.6\nwatchdog==6.0.0\nwebsockets==15.0.1\nwheel==0.45.1\nwsproto==1.3.2\nxlrd==2.0.2\nxxhash==3.6.0\nzipp==1.0.0\nzstandard==0.25.0","readmeExcerpt":"Skill: Pet Stool Morphology Recognition Analysis | 宠物排便形态识别（狗厕所/户外） Owner: 18072937735 Summary: Triggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis; supports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool color (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"python -m scripts.smyx_pet_stool_morphology_recognition_analysis --list"},{"language":"text","snippet":"requests>=2.28.0"},{"language":"bash","snippet":"# 分析本地狗厕所/户外排便图像或视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input /path/to/dog_stool.jpg --pet-type dog\n\n# 分析网络狗厕所/户外排便视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --url https://example.com/dog_stool.mp4 --pet-type dog\n\n# 显示历史分析报告清单（自动触发关键词：查看历史排便报告、排便形态报告清单等）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --detail basic\n\n# 保存结果到文件\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --output result.json"},{"language":"bash","snippet":"python -m scripts.smyx_pet_stool_morphology_recognition_analysis --list"},{"language":"text","snippet":"requests>=2.28.0"},{"language":"bash","snippet":"# 分析本地狗厕所/户外排便图像或视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input /path/to/dog_stool.jpg --pet-type dog\n\n# 分析网络狗厕所/户外排便视频（以下只是示例，禁止直接使用 作为 open-id）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --url https://example.com/dog_stool.mp4 --pet-type dog\n\n# 显示历史分析报告清单（自动触发关键词：查看历史排便报告、排便形态报告清单等）\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --list\n\n# 输出精简报告\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --detail basic\n\n# 保存结果到文件\npython -m scripts.smyx_pet_stool_morphology_recognition_analysis --input dog_stool.jpg --pet-type dog --output result.json"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: \"smyx-pet-stool-morphology-recognition-analysis\"\ndescription: \"Triggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis; supports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool color (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus, outputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without diagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring, multi-pet households. | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\"\nversion: \"1.0.18\"\nlicense: \"MIT-0\"\n---\n\n# 💩 Pet Stool Morphology Recognition Analysis | 宠物排便形态识别（狗厕所/户外）\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 | **宠物排便形态识别（狗厕所/户外）** |\n| 🎯 核心目标 | 当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。 |\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 | `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` |\n\nTriggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis;\nsupports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool\ncolor (brown, black, red, white), shape (formed, loose/soft, watery, granular hard), and the presence of blood or mucus,\noutputting standardized abnormal observation features to help early discovery of gastrointestinal diseases (without\ndiagnosing diseases). Application scenarios: dog toilets, outdoor dog-walking path cameras, pet health monitoring,\nmulti-pet households.\n\n当用户提供狗厕所或户外遛狗路径区域的粪便图像/视频时，触发本技能进行排便形态识别分析；支持通过上传本地文件或网络URL，调用服务端API识别粪便颜色（棕、黑、红、白）、形状（条状、稀糊、颗粒）、是否带血或粘液，输出异常特征观察结果，帮助早期发现肠胃疾病（不诊断疾病）。应用场景：狗厕所、遛狗路径摄像头、宠物健康监测、多宠家庭。\n\n## 🤖 AI 角色 | AI Role\n| 角色要点 | 说明 |\n|---|---|\n| 说明 1 | **你是一个专业的宠物健康监测AI。你的任务是基于宠物排便区域的图像或视频帧，分析粪便的形态特征（颜色、形状、有无带血或粘液），输出标准化观察结果。不要提供疾病诊断或治疗方案，仅客观描述粪便外观。 ** |\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通过狗厕所或户外遛狗路径区域的图像/视频进行宠物排便形态识别分析，获取标准化的观察结果和异常特征提示，帮助早期发现肠胃疾病\n\n### 2. 🛠️ 能力范围\n\n| 序号 | 具体能力 |\n|---:|---|\n| 1 | 图像/视频分析 |\n| 2 | 粪便颜色识别（棕 |\n| 3 | 黑 |\n| 4 | 红 |\n| 5 | 白） |\n| 6 | 粪便形状识别（条状 |\n| 7 | 稀糊 |\n| 8 | 颗粒） |\n| 9 | 带血/粘液检测 |\n| 10 | 异常特征输出 |\n| 11 | 肠胃健康风险提示 |\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**：当用户提供狗厕所或户外遛狗路径区域的图像/视频 URL 或文件需要分析时，默认触发本技能进行排便形态识别 |\n| 🔎 明确分析意图 | 当用户明确需要进行宠物排便监测时，提及狗厕所、遛狗、户外排便、粪便分析、粪便颜色、粪便形状、便血、粘液便、稀便、肠胃异常等关键词，并且上传了图片/视频文件 |\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** ：查看历史排便报告、历史排便形态报告、排便分析报告清单、查"},{"path":"_meta.json","content":"{\n \"ownerId\": \"kn7e2caqj7pnsvr9r7t8zenghs83xw7n\",\n \"slug\": \"smyx-pet-stool-morphology-recognition-analysis\",\n \"version\": \"1.0.7\",\n \"publishedAt\": 1790801264625\n}"},{"path":"references/api_doc.md","content":"# API 接口文档\n\n此处用于存放宠物排便形态识别 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- 响应格式：JSON\n\n## 主要接口\n\n1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动排便形态识别分析任务\n2. `/web/ai-analysis/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. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告\n\n## 场景代码\n\n- `SMYX_PET_STOOL_MORPHOLOGY_RECOGNITION_ANALYSIS` - 宠物排便形态识别（狗厕所/户外）"},{"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":null,"editorialQuality":{"score":100,"threshold":65,"status":"thin","wordCount":1210,"uniquenessScore":41,"reasons":["uniqueness-below-45"]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-10T18:09:51.519Z","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":"2026-10-10T18:09:51.519Z","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":"2026-10-10T21:53:18.636Z","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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