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BytesAgain β€Ί Skills β€Ί Ebm Calculator
πŸ¦€ ClawHub

Ebm Calculator

by @aipoch-ai

Evidence-Based Medicine calculator for sensitivity, specificity, PPV, NPV, NNT, and likelihood ratios. Essential for clinical decision making and biostatisti...

Versionv0.1.0
Downloads710
#clawhub
TERMINAL
clawhub install ebm-calculator

πŸ“– About This Skill

name: ebm-calculator description: Evidence-Based Medicine calculator for sensitivity, specificity, PPV, NPV, NNT, and likelihood ratios. Essential for clinical decision making and biostatistics education. version: 1.0.0 category: Education tags:
  • ebm
  • biostatistics
  • calculator
  • sensitivity
  • specificity
  • clinical-reasoning
    • author: AIPOCH license: MIT status: Draft risk_level: Medium skill_type: Tool/Script owner: AIPOCH reviewer: '' last_updated: '2026-02-06'

    EBM Calculator

    Evidence-Based Medicine diagnostic test calculator.

    Features

  • Sensitivity / Specificity calculation
  • PPV / NPV with prevalence adjustment
  • Likelihood ratios (LR+ / LR-)
  • Number Needed to Treat (NNT)
  • Pre/post-test probability conversion

    • Parameters

    | Parameter | Type | Default | Required | Description | |-----------|------|---------|----------|-------------| | --mode, -m | string | diagnostic | No | Calculation mode (diagnostic, nnt, probability) | | --tp, --true-pos | int | - | * | True positives (diagnostic mode) | | --fn, --false-neg | int | - | * | False negatives (diagnostic mode) | | --tn, --true-neg | int | - | * | True negatives (diagnostic mode) | | --fp, --false-pos | int | - | * | False positives (diagnostic mode) | | --prevalence, -p | float | - | No | Disease prevalence 0-1 (diagnostic mode) | | --control-rate | float | - | ** | Control event rate 0-1 (nnt mode) | | --experimental-rate | float | - | ** | Experimental event rate 0-1 (nnt mode) | | --pretest | float | - | *** | Pre-test probability 0-1 (probability mode) | | --lr | float | - | *** | Likelihood ratio (probability mode) | | --output, -o | string | stdout | No | Output file path |

    \* Required for diagnostic mode \** Required for nnt mode \*** Required for probability mode

    Output Format

    {
  "sensitivity": "float",
  "specificity": "float",
  "ppv": "float",
  "npv": "float",
  "lr_positive": "float",
  "lr_negative": "float",
  "interpretation": "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

    βš™οΈ Configuration

    No additional Python packages required.