oral-health-analyzer

Analyzes oral health records to assess caries, periodontal, and oral cancer risks.

960|123|Updated Dec 31, 2025
Ready to run
npx skills add https://github.com/huifer/Claude-Ally-Health --skill oral-health-analyzer-huifer
💬 Prompt for ChatGPT / Claude Chat▼
Please help me install this Agent Skill.
Skill: oral-health-analyzer
Source: https://github.com/huifer/Claude-Ally-Health/tree/main/.claude/skills/oral-health-analyzer
Command: npx skills add https://github.com/huifer/Claude-Ally-Health --skill oral-health-analyzer-huifer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Personal oral health data is scattered across dental visits, hygiene habits, and medical history, making it hard to spot trends in caries, gum disease, or risk factors without professional tools. ## Core Features & Use Cases - Trend & Risk Analysis: Tracks caries development, periodontal health changes, and hygiene habit improvements, then computes risk levels for caries, periodontal disease, and oral cancer. - Cross-Domain Correlation: Links oral health with nutrition (sugar, calcium, vitamin D), chronic diseases (diabetes, cardiovascular, pregnancy), medications (dry mouth, gingival hyperplasia), and eye health (Sjögren's syndrome). - Personalized Plans & Alerts: Generates prevention and lifestyle recommendations, goal tracking with progress monitoring, health scores (0-100), and early warnings for overdue checkups or worsening symptoms. - Use Case: A user with diabetes asks how blood sugar control affects their gums; the skill correlates glucose records with periodontal indicators and produces a joint management report. ## Quick Start Analyze my oral health records from the past six months and give me a risk assessment with improvement suggestions.

Frequently Asked Questions about oral-health-analyzer

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

FAQPage Schema
How do I assess my caries risk from personal health records?▼

Caries risk is assessed by combining sugar intake, oral hygiene habits, fluoride use, saliva condition, past caries history, and family history into a low, medium, or high risk level. The output includes a quantified score and specific risk-reduction suggestions.

How is periodontal disease severity classified in this analysis?▼

Periodontal status is staged from healthy to severe periodontitis using probing depth, bleeding on probing, and attachment loss. Healthy is 1-3mm depth, while severe periodontitis exceeds 6mm with heavy attachment loss.

Can oral health data be correlated with diabetes management?▼

Yes, the analysis links blood glucose control records with periodontal health indicators to evaluate bidirectional effects between diabetes and gum disease. It produces joint management strategies and monitoring metric suggestions.

What warning signs trigger an alert to see a dentist?▼

Alerts fire when tooth pain lasts over 3 days, gum bleeding persists for a week, mouth ulcers exceed 2 weeks, or new lumps or white patches appear. Checkup reminders also trigger at 30 days, 7 days, and overdue thresholds.

What are the limitations of automated oral health analysis?▼

The analysis cannot replace professional dental exams, imaging, or laboratory tests, and results depend on the accuracy and completeness of user-recorded data. All output is reference-only and must be combined with clinical judgment from a dentist.