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BytesAgain β€Ί Skills β€Ί Concept Explainer
πŸ¦€ ClawHub

Concept Explainer

by @aipoch-ai

Uses analogies to explain complex medical concepts in accessible terms.

Versionv0.1.0
Downloads1,049
#legal#health
TERMINAL
clawhub install concept-explainer

πŸ“– About This Skill

name: concept-explainer description: Uses analogies to explain complex medical concepts in accessible terms. version: 1.0.0 category: Info tags:
  • education
  • analogies
  • medical-concepts
  • explanation
    • author: AIPOCH license: MIT status: Draft risk_level: Medium skill_type: Tool/Script owner: AIPOCH reviewer: '' last_updated: '2026-02-06'

    Concept Explainer

    Explains medical concepts using everyday analogies.

    Features

  • Analogy generation
  • Concept simplification
  • Multiple explanation levels
  • Visual description support

    • Parameters

    | Parameter | Type | Default | Required | Description | |-----------|------|---------|----------|-------------| | --concept, -c | string | - | Yes | Medical concept to explain | | --audience, -a | string | patient | No | Target audience (child, patient, student) | | --list, -l | flag | - | No | List all available concepts | | --output, -o | string | - | No | Output JSON file path |

    Usage

    # Explain thrombosis to a patient
python scripts/main.py --concept "thrombosis"
    Explain to a child
    
python scripts/main.py --concept "immune system" --audience child
    Explain to a medical student
    
python scripts/main.py --concept "antibiotic resistance" --audience student
    List all available concepts
    
python scripts/main.py --list

    Output Format

    {
  "explanation": "string",
  "analogy": "string",
  "key_points": ["string"]
}

    Risk Assessment

    | Risk Indicator | Assessment | Level | |----------------|------------|-------| | Code Execution | Python/R scripts executed locally | Medium | | Network Access | No external API calls | Low | | File System Access | Read input files, write output files | Medium | | Instruction Tampering | Standard prompt guidelines | Low | | Data Exposure | Output files saved to workspace | Low |

    Security Checklist

  • [ ] No hardcoded credentials or API keys
  • [ ] No unauthorized file system access (../)
  • [ ] Output does not expose sensitive information
  • [ ] Prompt injection protections in place
  • [ ] Input file paths validated (no ../ traversal)
  • [ ] Output directory restricted to workspace
  • [ ] Script execution in sandboxed environment
  • [ ] Error messages sanitized (no stack traces exposed)
  • [ ] Dependencies audited

    • Prerequisites

    No additional Python packages required.

    Evaluation Criteria

    Success Metrics

  • [ ] Successfully executes main functionality
  • [ ] Output meets quality standards
  • [ ] Handles edge cases gracefully
  • [ ] Performance is acceptable

    • Test Cases

    1. Basic Functionality: Standard input β†’ Expected output 2. Edge Case: Invalid input β†’ Graceful error handling 3. Performance: Large dataset β†’ Acceptable processing time

    Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:
    • - Performance optimization - Additional feature support

    πŸ’‘ Examples

    # Explain thrombosis to a patient
python scripts/main.py --concept "thrombosis"
    Explain to a child
    
python scripts/main.py --concept "immune system" --audience child
    Explain to a medical student
    
python scripts/main.py --concept "antibiotic resistance" --audience student
    List all available concepts
    
python scripts/main.py --list

    βš™οΈ Configuration

    No additional Python packages required.