What makes Wellally Health Skills notable?

1K downloads. Trust evidence available

How should Wellally Health Skills be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Wellally Health Skills

Create, manage, and share custom slash commands to extend Claude's capabilities with personalized, project-specific, or organization-wide health skills. Skill: Wellally Health Skills Owner: huifer Summary: Create, manage, and share custom slash commands to extend Claude's capabilities with personalized, project-specific, or organization-wide health skills. Tags: latest:0.1.0 Version history: v0.1.0 | 2026-02-17T04:50:50.696Z | auto Initial release of wellally-health-skills. - Introduces support for creating, managing, and sharing custom skills to extend Claude's capa

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.0k

Updated

Oct 11, 2026

Version

0.1.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.

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 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1K downloadsadoption · observed Oct 11, 2026
Latest release: 0.1.0release · observed Feb 17, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s173prry4f4zty70jays2y0zx18585n2:wellally-health-skills

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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-huifer-wellally-health-skills/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

78,011 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

skills/ai-health/SKILL.md

---
name: ai-health
description: AI-driven health analysis system including comprehensive analysis, risk prediction, intelligent Q&A, and report generation.
argument-hint: <operation_type(analysis/prediction/chat/report/status) [target] [options]>
allowed-tools: Read, Write
schema: ai-health/schema.json
---

# AI Health Assistant Skill

AI-driven comprehensive health analysis system providing intelligent health insights, risk prediction, and personalized recommendations.

## Core Flow

```
User Input -> Parse Operation Type -> [analyze] Read Data -> Multi-dimensional Analysis -> Generate Insights -> Output Report
                              -> [predict] Extract Risk Factors -> Calculate Risk -> Generate Recommendations
                              -> [chat] Parse Query -> Retrieve Data -> Analyze -> Reply
                              -> [report] Generate HTML Report
                              -> [status] Display Configuration Status
```

## Step 1: Parse Operation Type

| Input Keywords | Operation |
|----------------|-----------|
| analyze | analyze |
| predict | predict |
| chat | chat |
| report | report |
| status | status |

## Step 2: AI Comprehensive Analysis (analyze)

### Analysis Process

```
1. Read AI configuration and user profile
2. Read all health data sources
   - Basic indicators (profile.json)
   - Lifestyle data
   - Mental health data
   - Medical history data
3. Execute multi-dimensional analysis
   - Correlation analysis (Pearson, Spearman)
   - Trend analysis (linear regression, moving average)
   - Anomaly detection (CUSUM, Z-score)
4. Generate personalized recommendations (Level 1-3)
5. Output text report
6. Generate HTML report (optional)
```

### Time Range Parameters

| Parameter | Description |
|-----------|-------------|
| all | All data |
| last_month | Last month |
| last_quarter | Last quarter (default) |
| last_year | Last year |
| YYYY-MM-DD | From specified date to present |

## Step 3: Health Risk Prediction (predict)

### Supported Risk Types

| Type | Description | Model |
|------|-------------|-------|
| hypertension | Hypertension risk (10-year) | Framingham |
| diabetes | Diabetes risk (10-year) | ADA |
| cardiovascular | Cardiovascular risk (10-year) | Framingham |
| all | All risk predictions | Combined |

### Risk Calculation Process

```
1. Read user profile and related health data
2. Extract risk factors (age, BMI, blood pressure, blood sugar, family history, etc.)
3. Apply risk prediction models
4. Calculate risk probability and grade
5. Identify modifiable risk factors
6. Generate prevention recommendations
```

## Step 4: Intelligent Health Q&A (chat)

### Supported Query Types

**Data Query:**
```
What is my average sleep time?
What is my recent weight?
```

**Trend Analysis:**
```
How has my weight changed recently?
Has my sleep quality improved?
```

**Correlation Query:**
```
How does exercise affect my sleep?
Is there a relationship between diet and my weight?
```

**Recommendation Que

skills/allergy/SKILL.md

---
name: allergy
description: Manage allergy records including drug, food, and environmental allergies with severity tracking and medical alert integration.
argument-hint: <operation_type(add/list/update/delete) allergy_information_natural_language_description>
allowed-tools: Read, Write
schema: allergy/schema.json
---

# Allergy History Management Skill

Record and manage allergy history, including drug allergies, food allergies, environmental allergies, etc., with quick query and update support.

## Core Flow

```
User Input -> Parse Operation Type -> [add] Parse Allergy Info -> Medical Standardization -> Generate JSON -> Save
                             -> [list] Filter and Display
                             -> [update] Find and Update -> Save
                             -> [delete] Confirm Deletion
```

## Step 1: Parse User Input

### Operation Type Recognition

| Input Keywords | Operation |
|----------------|-----------|
| add | add |
| list | list |
| update | update |
| delete | delete |

## Step 2: Add Allergy Record (add)

### Allergy Information Parsing

Extract from natural language:

**Basic Information (Auto Extracted):**
- **Allergen Name**: Specific substance name causing allergy
- **Allergy Type**: Drug, food, environmental, other
- **Severity Level**: Mild, moderate, severe, anaphylaxis
- **Reaction Symptoms**: Specific allergic reaction manifestations

**Detailed Information (Extract or Ask):**
- **Discovery Time**: When allergy was first discovered
- **Discovery Circumstances**: Situation and context at the time
- **Confirmation Method**: Doctor diagnosis, self-observation, test confirmed
- **Current Status**: Still allergic or resolved

### Medical Standardization Conversion

| Colloquial Description | Medical Term | Type |
|------------------------|-------------|------|
| Penicillin | Penicillin | Drug allergy |
| Peanut | Peanut | Food allergy |
| Pollen | Pollen | Environmental allergy |
| Iodine contrast | Iodine contrast | Drug allergy |
| Hymenoptera venom | Hymenoptera venom | Other allergy |

### Allergy Type Classification

- **Drug Allergies**: Antibiotics (penicillin, cephalosporin, etc.), painkillers (aspirin, etc.), contrast agents, vaccines, TCM, etc.
- **Food Allergies**: Seafood (shrimp, crab, shellfish), nuts (peanut, walnut), eggs, dairy, gluten, fruits, etc.
- **Environmental Allergies**: Pollen, dust mites, animal dander, mold, latex, etc.
- **Other Allergies**: Insect bites, chemicals, metals, etc.

### Automatic Severity Determination

**Keyword Mapping:**
- "Shock", "Anaphylaxis", "Unconscious", "Coma" → Level 4 (anaphylaxis)
- "Severe", "Systemic", "Unbearable", "BP drop" → Level 3 (severe)
- "Obvious", "Moderate", "Needs treatment", "Swelling" → Level 2 (moderate)
- "Mild", "Occasional", "Local" → Level 1 (mild) |

### Reaction Symptom Recognition

**Skin symptoms:** Rash, hives, itching, redness, erythema
**Respiratory symptoms:** Dyspnea, wheezing, laryngeal edema, chest tightness
**Digestive

skills/child-development/SKILL.md

---
name: child-development
description: Track and assess child developmental milestones based on ASQ-3 and Denver II standards. Use when user mentions development, milestones, motor skills, language, social skills, or cognitive development.
argument-hint: <operation_type: record/check/milestone/delay/history, e.g.: record gross, check 12 months, milestone all>
allowed-tools: Read, Write
schema: child-development/schema.json
---

# Child Developmental Milestone Tracking Skill

Child developmental milestone tracking and assessment based on ASQ-3 and Denver II standards, providing early warning for developmental delays.

## Core Flow

```
User Input → Parse Operation Type → Read Child Information → Calculate Age → Determine Assessment Items → Generate Assessment Report → Save Data
```

## Step 1: Parse User Input

### Operation Type Mapping

| Input | action | domain |
|------|--------|--------|
| record | record | all(default)/gross/fine/language/social/cognitive |
| check | check | - |
| milestone | milestone | Optional: specify domain |
| delay | delay | - |
| history | history | - |

### Developmental Domain Mapping

| Input Keywords | domain |
|----------------|--------|
| gross motor | gross |
| fine motor | fine |
| language | language |
| social | social |
| cognitive | cognitive |

## Step 2: Check Information Completeness

### Required (prompt to set if missing):
- Child name (from data/profile.json)
- Birth date (from data/profile.json)
- Gender (from data/profile.json)
- Prematurity status (from data/profile.json)

### Prompt when child profile missing:
```
Child profile not found

Please set child basic information first:
/profile child-name Xiaoming
/profile child-birth-date 2020-01-01
/profile child-gender male
```

## Step 3: Calculate Age and Months

```javascript
birthDate = profile.child_birth_date
today = new Date()

ageMonths = (today - birthDate) / (30.44 * 24 * 60 * 60 * 1000)

// Prematurity correction (<37 weeks, correct until 2 years)
if gestational_age < 37 && ageMonths <= 24:
  correctedAgeMonths = ageMonths - (40 - gestational_age) * 4
else:
  correctedAgeMonths = ageMonths
```

## Step 4: Generate Assessment Questions

### Determine Key Milestones by Age

**6-Month Assessment Example:**
```
Please assess whether milestones are achieved (yes/no):

Gross Motor (6 months)
  Can sit briefly without support
  Can support self on hands during tummy time
  Can roll from back to tummy

Fine Motor (6 months)
  Can reach for objects
  Can transfer items between hands
  Can pinch with thumb and finger

Language (6 months)
  Can make single syllable sounds (ma/ba etc.)
  Responds to sounds
  Can turn toward sound source

Social (6 months)
  Shows stranger anxiety
  Laughs out loud
  Can express happiness/anger

Cognitive (6 months)
  Looks for dropped objects
  Can distinguish familiar/stranger faces
```

## Step 5: Generate Assessment Report

### Developmental Assessment Grading

| Assessment Result | Condition |
|---------------

skills/child-illness/SKILL.md

---
name: child-illness
description: Track child illness, symptoms, fever management, and medication records. Use when user mentions child sickness, fever, cough, cold, or disease.
argument-hint: <operation_type: record/symptom/fever/medicine/recovery/frequency/history, e.g.: record fever cough, fever 38.5, medicine ibuprofen 5ml>
allowed-tools: Read, Write
schema: child-illness/schema.json
---

# Child Illness Management Skill

Child common illness recording, symptom tracking and home care management, providing fever management, medication logging and recovery tracking.

## Core Flow

```
User Input → Identify Operation Type → Read Child Information → Collect Illness Information → Generate Report → Save Data
```

## Step 1: Parse User Input

### Operation Type Mapping

| Input | action | Description |
|------|--------|-------------|
| record | record | Log illness |
| symptom | symptom | Log symptoms |
| fever | fever | Fever management |
| medicine | medicine | Medication log |
| recovery | recovery | Recovery tracking |
| frequency | frequency | Illness frequency |
| history | history | Historical records |

### Illness Type Recognition

| Keywords | Illness Type | Common Symptoms |
|----------|--------------|-----------------|
| cold, 感冒, 上感, 流鼻涕, 鼻塞 | Acute upper respiratory infection | Fever, cough, runny nose, sore throat |
| bronchitis, 支气管炎 | Acute bronchitis | Cough, sputum, fever |
| pneumonia, 肺炎 | Pneumonia | High fever, cough, difficulty breathing |
| gastroenteritis, 肠炎, 拉肚子, 腹泻 | Acute gastroenteritis | Vomiting, diarrhea, fever |
| HFMD, 手足口 | Hand, foot and mouth disease | Rash, fever, oral ulcers |
| chickenpox, 水痘 | Chickenpox | Rash, fever, itching |
| flu, 流感 | Influenza | High fever, body aches, fatigue |
| otitis media, 中耳炎, 耳朵痛 | Acute otitis media | Ear pain, fever |
| allergic rhinitis, 过敏鼻炎 | Allergic rhinitis | Sneezing, runny nose, nasal itching |

## Step 2: Check Information Completeness

### record Operation Required:
- Symptom description (can infer from user input)
- Onset date (defaults to today)

### fever Operation Required:
- Temperature value

### medicine Operation Required:
- Medication name
- Dosage

## Step 3: Interactive Prompts (When Information Insufficient)

### When Missing Symptom Details:
```
Please provide following information (can skip):

1. Main symptoms: (e.g., fever, cough, runny nose)
2. Onset date: (defaults to today)
3. Severity: (mild/moderate/severe)
4. Medical consultation: (yes/no)

Enter /done to complete recording
```

### When Fever Recording Missing Temperature:
```
Please enter current temperature (e.g., 38.5)
```

## Step 4: Generate Assessment Report

### Temperature Grade Standard

| Temperature Grade | Standard Range |
|-------------------|----------------|
| Normal | < 37.3 |
| Low-grade fever | 37.3 - 38.0 |
| Moderate fever | 38.1 - 39.0 |
| High fever | 39.1 - 41.0 |
| Very high fever | > 41.0 |

### Illness Record Report Example:
```
Illness record saved

Illness Inform

skills/child-mental/SKILL.md

---
name: child-mental
description: Child mental health screening, mood tracking, behavior assessment, anxiety and ADHD screening. Use when user mentions child emotions, behavior, attention, mood swings, or mental concerns.
argument-hint: <operation_type: record/mood/behavior/anxiety/adhd/report/history, e.g.: record happy mood, mood happy, behavior, anxiety, adhd>
allowed-tools: Read, Write
schema: child-mental/schema.json
---

# Child Mental Health Skill

Child mental health assessment, mood tracking and behavior problem screening, providing preliminary assessment for anxiety, attention and other areas.

## Core Flow

```
User Input → Identify Operation Type → Read Child Information → Determine Assessment Items by Age → Generate Assessment Report → Save Data
```

## Step 1: Parse User Input

### Operation Type Mapping

| Input | action | Description |
|------|--------|-------------|
| record | record | Log comprehensive assessment |
| mood | mood | Mood tracking |
| behavior | behavior | Behavior assessment |
| anxiety | anxiety | Anxiety screening |
| adhd | adhd | Attention screening (ADHD) |
| report | report | Comprehensive report |
| history | history | Historical records |

### Mood Keyword Mapping

| Input | mood |
|------|------|
| happy | happy |
| calm | calm |
| sad | sad |
| angry | angry |
| excited | excited |
| anxious | anxious |

## Step 2: Check Information Completeness

### Required (prompt to set if missing):
- Child name (from data/profile.json)
- Birth date (from data/profile.json)
- Gender (from data/profile.json)

## Step 3: Determine Assessment Items by Age

| Age | Assessment Focus |
|-----|------------------|
| 0-3 years | Emotional response, attachment, behavior patterns |
| 3-6 years | Emotional expression, social behavior, attention |
| 6-12 years | Emotional regulation, learning behavior, peer relationships |
| 12-18 years | Emotional management, self-awareness, stress coping |

## Step 4: Generate Assessment Report

### Mood State Assessment

| Overall Mood | Condition |
|--------------|------------|
| Stable | Appropriate emotional responses, self-regulation |
| Fluctuating | Rapid mood changes, unpredictable |
| Unstable | Difficulty self-soothing, frequent crying |

### Behavior Assessment Grading

| Assessment Result | Condition |
|-------------------|-----------|
| Normal | All behavior domains age-appropriate |
| Mild problems | 1-2 domains with mild difficulties |
| Significant problems | Multiple domains with significant difficulties |

### Normal Assessment Report Example:
```
Mental health assessment saved

Assessment Information:
Child: Xiaoming
Age: 2 years 5 months
Assessment date: January 14, 2025

Mood State:
  Overall mood: Stable
  Emotional expression: Rich and appropriate
  Emotional regulation: Good

Behavior Assessment:
  Overall behavior: Normal
  Activity level: Moderate
  Attention: Good
  Compliance: Good
  Aggressive behavior: None

Comprehensive Assessment:
  Normal mental development

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