pet-body-health-analysis
Identifies obesity, emaciation, external injuries, skin abnormalities, and abnormal mental states, helping pet owners detect health issues promptly. | 宠物体态健康分析技能,识别肥胖、消瘦、外伤、皮肤异常、精神状态异常,帮助宠物主人及时发现宠物健康问题
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/18072937735/smyx-pet-body-health-analysisPet Body Condition & Health Analysis Skill | 宠物体态健康分析技能
Based on advanced computer vision and behavior analysis technologies, this feature conducts multi-dimensional intelligent monitoring of pets' body posture, skin condition, and mental state. The system precisely identifies body changes such as obesity and emaciation, automatically detects skin abnormalities like trauma, swelling, and hair loss, and analyzes activity levels and behavioral patterns to determine if the mental state is abnormal. This feature helps pet owners break through the barriers of professional knowledge, promptly identify potential health risks, and provide reliable data support for scientific pet ownership and early intervention.
本功能基于先进的计算机视觉与行为分析技术,对宠物的体态特征、皮肤状况及精神面貌进行多维度智能监测。系统能够精准识别肥胖与消瘦等体态变化,自动检测外伤、红肿、脱毛等皮肤异常,并通过对活动量与行为模式的分析判断精神状态是否异常。这一功能帮助宠物主人突破专业知识的壁垒,及时发现潜在的健康风险,为科学养宠与早期干预提供可靠的数据支持
⚠️ 强制记忆规则(最高优先级)
本技能明确约定:
- 绝对禁止读取任何本地记忆文件:包括但不限于
memory/YYYY-MM-DD.md、MEMORY.md等本地文件 - 绝对禁止从 LanceDB 长期记忆中检索信息
- 所有历史分析报告查询必须从云端接口获取,不得使用本地记忆中的历史数据
- 即使技能调用失败或接口异常,也不得回退到本地记忆汇总
任务目标
- 本 Skill 用于:通过视频/图片对宠物进行体态健康分析,识别常见体态异常和健康问题,输出结构化的宠物体态健康分析报告
- 能力包含:
- 体态识别:肥胖、消瘦
- 体表识别:外伤、皮肤异常(脱毛、红疹、肿块等)
- 精神状态:活跃度异常判断
- 触发条件:
- 默认触发:当用户提供宠物视频/图片 URL 或文件需要进行宠物体态健康分析时,默认触发本技能
- 当用户明确需要进行宠物体态分析,提及肥胖、消瘦、皮肤异常、外伤检查、体态健康等关键词,并且上传了视频或图片
- 当用户提及以下关键词时,自动触发历史报告查询功能 :查看历史分析报告、宠物体态分析报告清单、分析报告列表、查询历史报告、显示所有体态分析报告、宠物体态健康分析历史记录
- 自动行为:
- 如果用户上传了附件或者视频/图片文件,则自动保存到技能目录下 attachments
- ⚠️ 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"查看所有体态分析报告"、"
显示所有宠物体态报告"、"查看历史报告"等),必须:
- 直接使用
python -m scripts.pet_body_health_analysis --list --open-id参数调用 API 查询云端的历史报告数据 - 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
- 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
- 直接使用
前置准备
- 依赖说明:scripts 脚本所需的依赖包及版本
requests>=2.28.0
操作步骤
🔒 open-id 获取流程控制(强制执行,防止遗漏)
在执行宠物体态健康分析前,必须按以下优先级顺序获取 open-id:
第 1 步:【最高优先级】检查技能所在目录的配置文件(优先)
路径:skills/smyx_common/scripts/config.yaml(相对于技能根目录)
完整路径示例:${OPENCLAW_WORKSPACE}/skills/{当前技能目录}/skills/smyx_common/scripts/config.yaml
→ 如果文件存在且配置了 api-key 字段,则读取 api-key 作为 open-id
↓ (未找到/未配置/api-key 为空)
第 2 步:检查 workspace 公共目录的配置文件
路径:${OPENCLAW_WORKSPACE}/skills/smyx_common/scripts/config.yaml
→ 如果文件存在且配置了 api-key 字段,则读取 api-key 作为 open-id
↓ (未找到/未配置)
第 3 步:检查用户是否在消息中明确提供了 open-id
↓ (未提供)
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
⚠️ 关键约束:
- 禁止自行假设,自行推导,自行生成 open-id 值(如 openclaw-control-ui、default、petbody123 等)
- 禁止跳过 open-id 验证直接调用 API
- 必须在获取到有效 open-id 后才能继续执行分析
- 如果用户拒绝提供 open-id,说明用途(用于保存和查询宠物体态健康分析报告记录),并询问是否继续
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-18072937735-smyx-pet-body-health-analysis": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
fire-detection-analysis
Real-time detection of flames and smoke in video and image scenes. Suitable for fire early warning in industrial parks, forests, warehouses, and other locations. | 火情烟雾检测技能,实时检测视频/图片场景中的火焰、烟雾,适用于工业园区、森林、仓库等场所火情预警
electric-vehicle-detection-analysis
Automatically detects electric motorcycles and e-bikes in restricted areas based on computer vision. It supports real-time detection for both video streams and images, counts the number of illegal parking or driving instances, and triggers violation alerts to assist with safety management in parks, communities, and organizations. | 电动车智能检测技能,基于计算机视觉自动检测禁行区域内的电动摩托车/电动车,支持视频流和图片实时检测,统计违规停放/行驶数量,触发违规预警,助力园区/社区/单位安全管理
familiar-person-recognition-analysis
Identifies acquaintances in videos or images through face photo comparison. Supports database enrollment, and the recognition results tell you who is at which location. Suitable for identity verification in homes and office areas. | 熟人识别分析技能,通过人脸图片比对识别视频/图片中的熟人,支持底库录入,识别结果告诉你哪个位置是谁,适用于家庭、办公区域身份核验
fall-detection-image-analysis
Detects whether anyone has fallen within a specified target area. Supports both image and short video analysis. Suitable for scenarios such as home care for elderly people living alone and safety monitoring in nursing homes. | 检测目标区域内是否有人跌倒,支持图片和短视频检测,适用于独居老人居家看护、养老院安全监测等场景
pet-breed-individual-recognition-analysis
Accurately identifies cat and dog breeds and supports distinguishing between different individuals in multi-pet households; an essential assistant for intelligent pet butlers. | 宠物品种个体识别技能,精准识别猫狗宠物品种,支持多宠家庭区分不同独立个体,智能宠物管家好帮手