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https://github.com/K-Dense-AI/claude-scientific-skills.git
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Added ISO 13485 certification prep skill
This commit is contained in:
Timothy Kassis
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#!/usr/bin/env python3
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"""
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ISO 13485 Gap Analysis Tool
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This script analyzes documentation provided by the user and identifies gaps
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against ISO 13485:2016 requirements.
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Usage:
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python gap_analyzer.py --docs-dir <path> [--output <path>]
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"""
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import os
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import sys
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import argparse
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import json
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from pathlib import Path
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from typing import Dict, List, Set, Tuple
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from datetime import datetime
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# ISO 13485:2016 Required Documented Procedures
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REQUIRED_PROCEDURES = {
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"4.1.5": {
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"title": "Risk Management",
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"keywords": ["risk", "risk management", "iso 14971", "risk analysis", "risk control"],
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"clause": "4.1.5"
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},
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"4.1.6": {
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"title": "Software Validation",
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"keywords": ["software validation", "computer software", "software application", "validation"],
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"clause": "4.1.6"
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},
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"4.2.4": {
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"title": "Control of Documents",
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"keywords": ["document control", "document approval", "document revision", "obsolete document"],
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"clause": "4.2.4"
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},
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"4.2.5": {
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"title": "Control of Records",
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"keywords": ["record control", "retention", "record storage", "record retrieval"],
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"clause": "4.2.5"
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},
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"5.5.3": {
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"title": "Internal Communication",
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"keywords": ["internal communication", "communication process", "qms communication"],
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"clause": "5.5.3"
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},
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"5.6.1": {
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"title": "Management Review",
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"keywords": ["management review", "review meeting", "management meeting"],
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"clause": "5.6.1"
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},
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"6.2": {
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"title": "Human Resources / Competence",
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"keywords": ["competence", "training", "human resources", "personnel qualification"],
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"clause": "6.2"
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},
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"7.2.3": {
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"title": "Customer Communication",
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"keywords": ["customer communication", "customer feedback", "advisory notice"],
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"clause": "7.2.3"
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},
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"7.3": {
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"title": "Design and Development",
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"keywords": ["design", "development", "design input", "design output", "design verification", "design validation"],
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"clause": "7.3"
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},
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"7.4.1": {
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"title": "Purchasing",
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"keywords": ["purchasing", "supplier", "procurement", "vendor"],
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"clause": "7.4.1"
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},
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"7.4.3": {
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"title": "Verification of Purchased Product",
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"keywords": ["purchased product", "incoming inspection", "verification of purchased"],
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"clause": "7.4.3"
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},
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"7.5.1": {
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"title": "Production and Service Provision",
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"keywords": ["production", "manufacturing", "work instruction", "process control"],
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"clause": "7.5.1"
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},
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"7.5.6": {
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"title": "Process Validation",
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"keywords": ["process validation", "validation protocol", "validation report"],
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"clause": "7.5.6"
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},
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"7.5.8": {
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"title": "Product Identification",
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"keywords": ["product identification", "identification", "labeling", "marking"],
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"clause": "7.5.8"
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},
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"7.5.9": {
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"title": "Traceability",
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"keywords": ["traceability", "lot", "serial number", "batch"],
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"clause": "7.5.9"
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},
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"7.5.11": {
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"title": "Preservation of Product",
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"keywords": ["preservation", "storage", "packaging", "handling"],
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"clause": "7.5.11"
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},
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"7.6": {
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"title": "Control of Monitoring and Measuring Equipment",
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"keywords": ["calibration", "monitoring equipment", "measuring equipment", "measurement"],
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"clause": "7.6"
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},
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"8.2.1": {
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"title": "Feedback",
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"keywords": ["feedback", "post-production", "post-market", "early warning"],
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"clause": "8.2.1"
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},
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"8.2.2": {
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"title": "Complaint Handling",
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"keywords": ["complaint", "customer complaint", "complaint handling", "complaint investigation"],
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"clause": "8.2.2"
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},
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"8.2.3": {
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"title": "Reporting to Regulatory Authorities",
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"keywords": ["regulatory reporting", "adverse event", "mdr report", "reportable event"],
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"clause": "8.2.3"
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},
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"8.2.4": {
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"title": "Internal Audit",
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"keywords": ["internal audit", "audit program", "audit plan", "audit checklist"],
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"clause": "8.2.4"
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},
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"8.2.5": {
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"title": "Monitoring and Measurement of Processes",
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"keywords": ["process monitoring", "process measurement", "process metrics"],
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"clause": "8.2.5"
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},
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"8.2.6": {
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"title": "Monitoring and Measurement of Product",
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"keywords": ["product inspection", "product testing", "acceptance criteria", "release"],
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"clause": "8.2.6"
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},
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"8.3": {
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"title": "Control of Nonconforming Product",
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"keywords": ["nonconforming", "ncr", "nonconformance", "reject"],
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"clause": "8.3"
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},
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"8.5.2": {
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"title": "Corrective Action",
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"keywords": ["corrective action", "capa", "root cause"],
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"clause": "8.5.2"
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},
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"8.5.3": {
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"title": "Preventive Action",
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"keywords": ["preventive action", "capa", "prevention"],
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"clause": "8.5.3"
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}
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}
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# Additional key documents (not procedures but required)
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KEY_DOCUMENTS = {
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"Quality Manual": ["quality manual", "qm-", "quality management system"],
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"Medical Device File": ["medical device file", "mdf", "device master record", "dmr"],
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"Quality Policy": ["quality policy"],
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"Quality Objectives": ["quality objective"],
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}
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class GapAnalyzer:
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"""Analyzes documentation against ISO 13485 requirements."""
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def __init__(self, docs_dir: str):
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"""Initialize analyzer with document directory."""
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self.docs_dir = Path(docs_dir)
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self.found_procedures: Dict[str, List[str]] = {}
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self.found_documents: Dict[str, List[str]] = {}
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def analyze(self) -> Dict:
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"""Run gap analysis on provided documentation."""
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print(f"Analyzing documents in: {self.docs_dir}")
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if not self.docs_dir.exists():
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print(f"ERROR: Directory not found: {self.docs_dir}")
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return {}
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# Scan all documents
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documents = self._scan_documents()
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print(f"Found {len(documents)} documents to analyze")
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# Search for each required procedure
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for clause_id, proc_info in REQUIRED_PROCEDURES.items():
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self._search_for_procedure(documents, clause_id, proc_info)
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# Search for key documents
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for doc_name, keywords in KEY_DOCUMENTS.items():
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self._search_for_document(documents, doc_name, keywords)
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# Generate gap analysis report
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report = self._generate_report()
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return report
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def _scan_documents(self) -> List[Tuple[Path, str]]:
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"""Scan directory for documents and read content."""
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documents = []
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# Supported file extensions
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extensions = ['.txt', '.md', '.doc', '.docx', '.pdf', '.odt']
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for ext in extensions:
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for file_path in self.docs_dir.rglob(f'*{ext}'):
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try:
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# Read file content (simple text reading)
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if ext in ['.txt', '.md']:
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with open(file_path, 'r', encoding='utf-8', errors='ignore') as f:
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content = f.read().lower()
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documents.append((file_path, content))
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else:
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# For other formats, just note the filename
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# (Full text extraction would require additional libraries)
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filename = file_path.name.lower()
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documents.append((file_path, filename))
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except Exception as e:
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print(f"Warning: Could not read {file_path}: {e}")
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return documents
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def _search_for_procedure(self, documents: List[Tuple[Path, str]],
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clause_id: str, proc_info: Dict):
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"""Search documents for a specific procedure."""
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title = proc_info['title']
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keywords = proc_info['keywords']
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matches = []
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for file_path, content in documents:
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# Check if any keyword appears in the document
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if any(keyword in content for keyword in keywords):
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matches.append(str(file_path.relative_to(self.docs_dir)))
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if matches:
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self.found_procedures[clause_id] = matches
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def _search_for_document(self, documents: List[Tuple[Path, str]],
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doc_name: str, keywords: List[str]):
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"""Search for key documents."""
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matches = []
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for file_path, content in documents:
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if any(keyword in content for keyword in keywords):
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matches.append(str(file_path.relative_to(self.docs_dir)))
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if matches:
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self.found_documents[doc_name] = matches
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def _generate_report(self) -> Dict:
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"""Generate comprehensive gap analysis report."""
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total_procedures = len(REQUIRED_PROCEDURES)
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found_count = len(self.found_procedures)
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missing_count = total_procedures - found_count
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missing_procedures = []
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for clause_id, proc_info in REQUIRED_PROCEDURES.items():
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if clause_id not in self.found_procedures:
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missing_procedures.append({
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"clause": clause_id,
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"title": proc_info['title'],
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"keywords": proc_info['keywords']
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})
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missing_documents = []
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for doc_name, keywords in KEY_DOCUMENTS.items():
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if doc_name not in self.found_documents:
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missing_documents.append({
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"document": doc_name,
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"keywords": keywords
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})
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compliance_percentage = (found_count / total_procedures) * 100
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report = {
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"analysis_date": datetime.now().isoformat(),
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"documents_analyzed": str(self.docs_dir),
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"summary": {
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"total_required_procedures": total_procedures,
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"procedures_found": found_count,
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"procedures_missing": missing_count,
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"compliance_percentage": round(compliance_percentage, 1)
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},
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"found_procedures": self.found_procedures,
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"missing_procedures": missing_procedures,
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"found_documents": self.found_documents,
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"missing_documents": missing_documents,
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"recommendations": self._generate_recommendations(missing_procedures, missing_documents)
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}
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return report
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def _generate_recommendations(self, missing_procedures: List[Dict],
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missing_documents: List[Dict]) -> List[str]:
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"""Generate recommendations based on gaps."""
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recommendations = []
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if not self.found_documents.get("Quality Manual"):
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recommendations.append(
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"CRITICAL: Create a Quality Manual - this is the foundational document of your QMS"
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)
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if not self.found_documents.get("Quality Policy"):
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recommendations.append(
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"HIGH PRIORITY: Develop and document your Quality Policy statement"
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)
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if missing_procedures:
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high_priority_clauses = ["8.2.2", "8.5.2", "8.5.3", "7.4.1", "8.2.4"]
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high_priority_missing = [p for p in missing_procedures
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if p['clause'] in high_priority_clauses]
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if high_priority_missing:
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titles = [p['title'] for p in high_priority_missing]
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recommendations.append(
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f"HIGH PRIORITY: Develop the following critical procedures: {', '.join(titles)}"
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)
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if len(missing_procedures) > 20:
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recommendations.append(
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"Consider engaging a consultant or using templates to accelerate QMS development"
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)
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if len(missing_procedures) < 5:
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recommendations.append(
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"You're close to completion! Focus on finalizing remaining procedures and conducting internal audit"
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)
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return recommendations
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def print_report(report: Dict):
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"""Print formatted gap analysis report."""
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print("\n" + "="*80)
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print(" ISO 13485:2016 GAP ANALYSIS REPORT")
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print("="*80)
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print(f"\nAnalysis Date: {report['analysis_date']}")
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print(f"Documents Location: {report['documents_analyzed']}\n")
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# Summary
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summary = report['summary']
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print("-" * 80)
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print(" SUMMARY")
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print("-" * 80)
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print(f"Total Required Procedures: {summary['total_required_procedures']}")
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print(f"Procedures Found: {summary['procedures_found']}")
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print(f"Procedures Missing: {summary['procedures_missing']}")
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print(f"Compliance: {summary['compliance_percentage']}%\n")
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# Found Procedures
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if report['found_procedures']:
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print("-" * 80)
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print(" FOUND PROCEDURES")
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print("-" * 80)
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for clause_id, files in sorted(report['found_procedures'].items()):
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proc_info = REQUIRED_PROCEDURES[clause_id]
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print(f"\n[{clause_id}] {proc_info['title']}")
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for file in files:
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print(f" - {file}")
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# Missing Procedures
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if report['missing_procedures']:
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print("\n" + "-" * 80)
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print(" MISSING PROCEDURES")
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print("-" * 80)
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for proc in report['missing_procedures']:
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print(f"\n[{proc['clause']}] {proc['title']}")
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print(f" Keywords to include: {', '.join(proc['keywords'][:3])}")
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# Found Documents
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if report['found_documents']:
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print("\n" + "-" * 80)
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print(" FOUND KEY DOCUMENTS")
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print("-" * 80)
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for doc_name, files in report['found_documents'].items():
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print(f"\n{doc_name}:")
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for file in files:
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print(f" - {file}")
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# Missing Documents
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if report['missing_documents']:
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print("\n" + "-" * 80)
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print(" MISSING KEY DOCUMENTS")
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print("-" * 80)
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for doc in report['missing_documents']:
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print(f" - {doc['document']}")
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# Recommendations
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if report['recommendations']:
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print("\n" + "-" * 80)
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print(" RECOMMENDATIONS")
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print("-" * 80)
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for i, rec in enumerate(report['recommendations'], 1):
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print(f"{i}. {rec}")
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print("\n" + "="*80)
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print(" END OF REPORT")
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print("="*80 + "\n")
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def save_report(report: Dict, output_path: str):
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"""Save report to JSON file."""
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with open(output_path, 'w', encoding='utf-8') as f:
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json.dump(report, f, indent=2)
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print(f"Report saved to: {output_path}")
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def main():
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"""Main entry point."""
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parser = argparse.ArgumentParser(
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description='ISO 13485 Gap Analysis Tool',
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formatter_class=argparse.RawDescriptionHelpFormatter
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)
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parser.add_argument(
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'--docs-dir',
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required=True,
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help='Directory containing documentation to analyze'
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)
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parser.add_argument(
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'--output',
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help='Output file path for JSON report (optional)'
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)
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args = parser.parse_args()
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# Run analysis
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analyzer = GapAnalyzer(args.docs_dir)
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report = analyzer.analyze()
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# Print report
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print_report(report)
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# Save report if output path specified
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if args.output:
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save_report(report, args.output)
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return 0
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if __name__ == '__main__':
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sys.exit(main())
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