Xpersona
agentCLAWHUBUnverified

Dietary Behavior Health Analyzer | 饮食行为健康分析工具

Analyzes videos to evaluate human eating behaviors, habits, and dietary patterns. It identifies tendencies towards unhealthy eating and provides structured analysis reports along with nutritional improvement recommendations. | 饮食行为健康分析工具，针对人的饮食行为、进食习惯、饮食结构进行视频分析，识别不良饮食行为倾向，提供结构化分析报告和营养改善建议 Skill: Dietary Behavior Health Analyzer | 饮食行为健康分析工具 Owner: smyx-sunjinhui Summary: Analyzes videos to evaluate human eating behaviors, habits, and dietary patterns. It identifies tendencies towards unhealthy eating and provides structured analysis reports along with nutritional improvement recommendations. | 饮食行为健康分析工具，针对人的饮食行为、进食习惯、饮食结构进行视频分析，识别不良饮食行为倾向，提供结构化分析报告和营养改善建议 Tags: latest:1.0.15 Version history: v1.0.15

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

2.2k

Updated

Oct 9, 2026

Version

1.0.15

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.2K downloads reported by the source. Last updated 10/9/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 9, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 9, 2026
Adoption signal
2.2K downloadsadoption · observed Oct 9, 2026
Latest release
1.0.15release · observed Oct 1, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-diet-analysis
  1. Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-smyx-sunjinhui-smyx-diet-analysis/snapshot"

Documentation

CLAWHUB

129,998 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "diet-analysis"
description: "Analyzes videos to evaluate human eating behaviors, habits, and dietary patterns. It identifies tendencies towards unhealthy eating and provides structured analysis reports along with nutritional improvement recommendations. | 饮食行为健康分析工具，针对人的饮食行为、进食习惯、饮食结构进行视频分析，识别不良饮食行为倾向，提供结构化分析报告和营养改善建议"
version: "1.0.17"
license: "MIT-0"
---

# 🍽️ Dietary Behavior Health Analyzer | 饮食行为健康分析工具
> **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

---

## 🧭 技能概览 | Overview

| 模块 | 内容 |
|---|---|
| 🏷️ 技能名称 | **饮食行为健康分析工具** |
| 🎯 核心目标 | 饮食行为健康分析工具，针对人的饮食行为、进食习惯、饮食结构进行视频分析，识别不良饮食行为倾向，提供结构化分析报告和营养改善建议 |
| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |
| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |
| 🧩 场景码 | `DIET_ANALYSIS` |

Powered by advanced computer vision technology, this personal health management assistant is dedicated to deeply
analyzing users' dietary behaviors and habits through video streams. When users upload dining videos or start real-time
recording, the system automatically tracks and analyzes the entire eating process. It precisely identifies undesirable
behaviors such as wolfing down food, picky eating, and improper posture, while simultaneously performing an intelligent
breakdown of the food types, portion proportions, and nutritional structure on the plate.

本工具是一款基于先进计算机视觉技术的个人健康管理助手，专注于通过视频流深度解析用户的饮食行为与习惯。当用户上传用餐视频或开启实时录制时，系统会自动追踪并分析进食全过程，精准识别狼吞虎咽、挑食偏食、进食姿势不当等不良行为，同时对餐盘中的食物种类、分量比例及营养结构进行智能化拆解。

## 🎬 技能演示 | Skill Demo

[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)

---

## 🎯 任务目标 | Goals

### 1. 🧩 技能用途

通过视频分析对饮食行为进行健康评估，识别不良饮食行为模式，提供结构化分析报告和营养改善建议

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 视频分析 |
| 2 | 进食速度评估 |
| 3 | 进食频率观察 |
| 4 | 饮食结构识别 |
| 5 | 进餐习惯评分 |
| 6 | 不良饮食习惯识别 |
| 7 | 营养建议生成 |

### 3. ⚡ 触发条件

| 触发类型 | 触发规则 |
|---|---|
| ✅ 默认触发 | **默认触发**：当用户提供需要分析的饮食行为视频 URL 或文件需要进行饮食健康分析时，默认触发本技能 |
| 🔎 明确分析意图 | 当用户明确需要进行饮食行为分析、进食习惯评估、饮食健康检查时，提及饮食分析、进食习惯、饮食行为、营养评估等关键词，并且上传了视频文件 |
| 📚 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** ：查看历史饮食报告、饮食分析报告清单、饮食行为分析列表、显示所有饮食报告，查询饮食行为分析报告 |

### 4. 🤖 自动行为

| 自动行为 | 执行要求 |
|---|---|
| 📎 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 |
| ☁️ 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 |

#### ⚠️ 强制数据获取规则（次高优先级）

> **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。

必须执行：

```bash
python -m scripts.diet_analysis --list
```

| 类型 | 要求 |
|---|---|
| ✅ 必须 | 使用 `python -m scripts.diet_analysis --list` 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 |
| ✅ 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 |

## 📦 前置准备 | Requirements
- 依赖说明:scripts 脚本所需的依赖包及版本
  ```
  requests>=2.28.0
  ```

## 🍽️ 饮食行为分析维度 | Dietary Behavior Dimensions
本技能重点评估以下饮食行为维度：

1. **进食速度评估**
    - 过快进食：短时间内大量进食，狼吞虎咽
    - 适中进食：咀嚼充分，节奏均匀
    - 过慢进食：进食时间过长，咀嚼过度

2. **进餐习惯评估**
    - 专注进食：专注用餐，不边吃边玩手机/看电视
    - 分心进食：同时进行多个活动，注意力不集中
    - 进食姿势：坐姿端正/走动进食/其他异常姿势

3. **食物选择与结构**
    - 食物种类识别：主食/蛋白质/蔬菜/油脂分配比例
    - 烹饪方式识别：油炸/清蒸/红烧/生食
    - 份量评估：份量过大/适中/不足

4. **不良饮食行为识别*

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-diet-analysis",
  "version": "1.0.15",
  "publishedAt": 1790815118338
}

references/api_doc.md

# API 接口文档

此处用于存放饮食行为分析 API 的接口文档，待后续补充。

## 接口规范

- 基础地址：由 smyx_common 配置统一管理
- 认证方式：API Key 鉴权
- 请求格式：支持文件上传
- 响应格式：JSON

## 主要接口

1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动分析任务
2. `/web/ai-analysis/get-common-ai-analysis-result` - 获取分析结果
3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告
4. `/health/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `DIET_ANALYSIS` - 饮食行为健康分析

skills/smyx_analysis/references/api_doc.md

# API接口文档

## 接口规范

- 基础地址：由 smyx_common 配置统一管理
- 认证方式：API Key 鉴权
- 请求格式：支持文件上传
- 响应格式：JSON

## 错误码说明

| 错误码 | 说明       |
|-----|----------|
| 400 | 请求参数错误   |
| 401 | API密钥无效  |
| 403 | 权限不足     |
| 413 | 文件过大     |
| 415 | 不支持的文件格式 |
| 500 | 服务器内部错误  |

scripts/config.yaml

{}

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 10, 2026.

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