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diet-analysis

Analyze dining videos to assess dietary health and identify unhealthy eating patterns.

Updated May 18, 2026
Search Tags:#video analysis#health scoring#risk detection#report history#diet habits#nutrition assessment#behavior analytics
One-click install
npx skills add https://github.com/smyx-sunjinhui/smyx-open-claw-skills --skill diet-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: diet-analysis
Source: https://github.com/smyx-sunjinhui/smyx-open-claw-skills/tree/main/skills/diet-analysis
Command: npx skills add https://github.com/smyx-sunjinhui/smyx-open-claw-skills --skill diet-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Eating behavior and dietary structure are hard to evaluate consistently from memory, especially when people want practical, structured feedback based on real dining footage.

Core Features & Use Cases

  • Video-based dietary behavior analysis: Detects unhealthy eating patterns such as wolfing down food, picky eating, and improper eating posture from uploaded videos or streaming URLs.
  • Structured scoring and report generation: Produces an overall dietary health score plus dimension-level evaluations (speed, habits, structure, risk) and compiles clear warnings and improvement suggestions.
  • Diet report history lookup (cloud-only): Supports listing historical reports and generating report links via the cloud API, avoiding any local memory fallback.

Quick Start

Ask to analyze the attached meal video for comprehensive dietary behavior health assessment and include a valid open-id so the skill can generate the structured report.

Frequently Asked Questions about diet-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze eating habits from a dining video?▼

You can analyze eating habits by providing a dining video or streaming URL for deterministic video-to-analysis processing. The system evaluates speed, habits, structure, and risks to generate actionable dietary recommendations and warnings.

What kind of unhealthy eating patterns can video diet analysis detect?▼

Video diet analysis detects unhealthy eating patterns like wolfing down food, picky eating, and improper eating posture from dining footage. It produces a structured health score with dimension-level evaluations and improvement suggestions.

How do I retrieve past diet assessment reports?▼

To retrieve past diet assessment reports, run the cloud-only command scripts.diet_analysis --list --open-id. This queries the cloud API to list historical reports and generate report links without any local memory fallback.

Do I need a specific identifier to generate a nutrition assessment report?▼

Yes, you must include a valid open-id to generate a structured nutrition assessment report. This identifier is required to process the attached meal video and associate the health scoring data with the cloud API history.

Can I use this skill for eating-speed and dietary structure evaluation?▼

Yes, you can use this skill for eating-speed and dietary structure evaluation. It fits scenarios including meal video review and risk-oriented dietary habit screening, producing dimension-level scores for speed, habits, and structure.

Does the diet history report lookup work without an internet connection?▼

No, the diet history report lookup is cloud-only and requires an active internet connection. It retrieves historical reports via the cloud API and deliberately avoids any local memory fallback for storing report data.

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