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Identify risks, obligations, and key terms using NLP.","kbarbel640-del\u002Fskills","kbarbel640-del","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F255315490?v=4","01M6CJPPQGCCESXMG3K7BBGQ5J","01M6CJPPX2PB2BCZERFVM2C2B3",1,"MIT","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fdatadrivenconstruction\u002Fcontract-clause-analyzer\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[23,24,25,26,27],"contract","contract clause analyzer","nlp","analyze","terms","2026-11-10 10:12:30",false,"---\r\nslug: \"contract-clause-analyzer\"\r\ndisplay_name: \"Contract Clause Analyzer\"\r\ndescription: \"Analyze construction contract clauses. Identify risks, obligations, and key terms using NLP.\"\r\n---\r\n\r\n# Contract Clause Analyzer\r\n\r\n## Business Case\r\n\r\n### Problem Statement\r\nContract review is time-consuming and error-prone:\r\n- Important clauses missed\r\n- Risk provisions overlooked\r\n- Inconsistent interpretation\r\n- Long review cycles\r\n\r\n### Solution\r\nAI-assisted contract clause analysis that identifies key provisions, flags risks, and extracts critical terms.\r\n\r\n## Technical Implementation\r\n\r\n```python\r\nimport pandas as pd\r\nfrom datetime import datetime, date\r\nfrom typing import Dict, Any, List, Optional\r\nfrom dataclasses import dataclass, field\r\nfrom enum import Enum\r\nimport re\r\n\r\n\r\nclass ClauseType(Enum):\r\n    SCOPE = \"scope\"\r\n    PAYMENT = \"payment\"\r\n    SCHEDULE = \"schedule\"\r\n    CHANGE_ORDER = \"change_order\"\r\n    TERMINATION = \"termination\"\r\n    INDEMNIFICATION = \"indemnification\"\r\n    INSURANCE = \"insurance\"\r\n    WARRANTY = \"warranty\"\r\n    DISPUTE = \"dispute\"\r\n    LIABILITY = \"liability\"\r\n    FORCE_MAJEURE = \"force_majeure\"\r\n    SAFETY = \"safety\"\r\n    COMPLIANCE = \"compliance\"\r\n    OTHER = \"other\"\r\n\r\n\r\nclass RiskLevel(Enum):\r\n    HIGH = \"high\"\r\n    MEDIUM = \"medium\"\r\n    LOW = \"low\"\r\n    INFO = \"info\"\r\n\r\n\r\n@dataclass\r\nclass ContractClause:\r\n    clause_id: str\r\n    section: str\r\n    title: str\r\n    text: str\r\n    clause_type: ClauseType\r\n    risk_level: RiskLevel\r\n    key_terms: List[str] = field(default_factory=list)\r\n    obligations: List[str] = field(default_factory=list)\r\n    deadlines: List[str] = field(default_factory=list)\r\n    amounts: List[str] = field(default_factory=list)\r\n    notes: str = \"\"\r\n\r\n\r\n@dataclass\r\nclass AnalysisResult:\r\n    contract_name: str\r\n    analyzed_date: datetime\r\n    total_clauses: int\r\n    clauses: List[ContractClause]\r\n    risk_summary: Dict[str, int]\r\n    key_dates: List[Dict[str, str]]\r\n    key_amounts: List[Dict[str, str]]\r\n\r\n\r\nclass ContractClauseAnalyzer:\r\n    \"\"\"Analyze construction contract clauses.\"\"\"\r\n\r\n    RISK_KEYWORDS = {\r\n        'high': ['indemnify', 'sole discretion', 'waive', 'forfeit', 'liquidated damages',\r\n                 'consequential', 'unlimited liability', 'hold harmless', 'no limit'],\r\n        'medium': ['shall', 'must', 'required', 'obligated', 'responsible', 'liable',\r\n                   'penalty', 'default', 'breach'],\r\n        'low': ['may', 'should', 'reasonable', 'mutual', 'consent', 'approval']\r\n    }\r\n\r\n    CLAUSE_PATTERNS = {\r\n        ClauseType.PAYMENT: ['payment', 'invoice', 'retainage', 'progress payment'],\r\n        ClauseType.SCHEDULE: ['schedule', 'completion date', 'milestone', 'time is of the essence'],\r\n        ClauseType.CHANGE_ORDER: ['change order', 'modification', 'additional work', 'variation'],\r\n        ClauseType.TERMINATION: ['termination', 'terminate', 'cancellation'],\r\n        ClauseType.INDEMNIFICATION: ['indemnif', 'hold harmless', 'defend'],\r\n        ClauseType.INSURANCE: ['insurance', 'coverage', 'policy', 'insured'],\r\n        ClauseType.WARRANTY: ['warranty', 'guarantee', 'defect', 'workmanship'],\r\n        ClauseType.DISPUTE: ['dispute', 'arbitration', 'mediation', 'litigation'],\r\n        ClauseType.LIABILITY: ['liability', 'damages', 'limitation'],\r\n        ClauseType.FORCE_MAJEURE: ['force majeure', 'act of god', 'unforeseen'],\r\n    }\r\n\r\n    def __init__(self):\r\n        self.clauses: List[ContractClause] = []\r\n\r\n    def analyze_text(self, contract_name: str, text: str) -> AnalysisResult:\r\n        \"\"\"Analyze contract text.\"\"\"\r\n        self.clauses = []\r\n\r\n        # Split into sections\u002Fclauses\r\n        sections = self._split_into_sections(text)\r\n\r\n        for i, section in enumerate(sections):\r\n            clause = self._analyze_clause(f\"CL-{i+1:03d}\", section)\r\n            self.clauses.append(clause)\r\n\r\n        # Generate summary\r\n        risk_summary = {\r\n            'high': sum(1 for c in self.clauses if c.risk_level == RiskLevel.HIGH),\r\n            'medium': sum(1 for c in self.clauses if c.risk_level == RiskLevel.MEDIUM),\r\n            'low': sum(1 for c in self.clauses if c.risk_level == RiskLevel.LOW)\r\n        }\r\n\r\n        key_dates = []\r\n        key_amounts = []\r\n        for clause in self.clauses:\r\n            for d in clause.deadlines:\r\n                key_dates.append({'clause': clause.clause_id, 'date': d})\r\n            for a in clause.amounts:\r\n                key_amounts.append({'clause': clause.clause_id, 'amount': a})\r\n\r\n        return AnalysisResult(\r\n            contract_name=contract_name,\r\n            analyzed_date=datetime.now(),\r\n            total_clauses=len(self.clauses),\r\n            clauses=self.clauses,\r\n            risk_summary=risk_summary,\r\n            key_dates=key_dates,\r\n            key_amounts=key_amounts\r\n        )\r\n\r\n    def _split_into_sections(self, text: str) -> List[Dict[str, str]]:\r\n        \"\"\"Split contract into sections.\"\"\"\r\n        sections = []\r\n        # Simple split by numbered sections\r\n        pattern = r'(\\d+\\.[\\d\\.]*\\s+[A-Z][^\\.]+)'\r\n        parts = re.split(pattern, text)\r\n\r\n        current_title = \"\"\r\n        for i, part in enumerate(parts):\r\n            if re.match(r'\\d+\\.[\\d\\.]*\\s+[A-Z]', part):\r\n                current_title = part.strip()\r\n            elif part.strip() and current_title:\r\n                sections.append({\r\n                    'title': current_title,\r\n                    'text': part.strip()\r\n                })\r\n                current_title = \"\"\r\n\r\n        # If no sections found, treat whole text as one\r\n        if not sections and text.strip():\r\n            sections.append({'title': 'Contract Text', 'text': text.strip()})\r\n\r\n        return sections\r\n\r\n    def _analyze_clause(self, clause_id: str, section: Dict[str, str]) -> ContractClause:\r\n        \"\"\"Analyze single clause.\"\"\"\r\n        text = section.get('text', '')\r\n        title = section.get('title', '')\r\n        text_lower = text.lower()\r\n\r\n        # Determine clause type\r\n        clause_type = self._determine_type(text_lower)\r\n\r\n        # Assess risk level\r\n        risk_level = self._assess_risk(text_lower)\r\n\r\n        # Extract key terms\r\n        key_terms = self._extract_key_terms(text)\r\n\r\n        # Extract obligations\r\n        obligations = self._extract_obligations(text)\r\n\r\n        # Extract dates\r\n        deadlines = self._extract_dates(text)\r\n\r\n        # Extract amounts\r\n        amounts = self._extract_amounts(text)\r\n\r\n        return ContractClause(\r\n            clause_id=clause_id,\r\n            section=clause_id,\r\n            title=title,\r\n            text=text[:500] + \"...\" if len(text) > 500 else text,\r\n            clause_type=clause_type,\r\n            risk_level=risk_level,\r\n            key_terms=key_terms,\r\n            obligations=obligations,\r\n            deadlines=deadlines,\r\n            amounts=amounts\r\n        )\r\n\r\n    def _determine_type(self, text: str) -> ClauseType:\r\n        \"\"\"Determine clause type from content.\"\"\"\r\n        for clause_type, keywords in self.CLAUSE_PATTERNS.items():\r\n            if any(kw in text for kw in keywords):\r\n                return clause_type\r\n        return ClauseType.OTHER\r\n\r\n    def _assess_risk(self, text: str) -> RiskLevel:\r\n        \"\"\"Assess risk level of clause.\"\"\"\r\n        high_count = sum(1 for kw in self.RISK_KEYWORDS['high'] if kw in text)\r\n        medium_count = sum(1 for kw in self.RISK_KEYWORDS['medium'] if kw in text)\r\n\r\n        if high_count >= 2:\r\n            return RiskLevel.HIGH\r\n        elif high_count >= 1 or medium_count >= 3:\r\n            return RiskLevel.MEDIUM\r\n        elif medium_count >= 1:\r\n            return RiskLevel.LOW\r\n        return RiskLevel.INFO\r\n\r\n    def _extract_key_terms(self, text: str) -> List[str]:\r\n        \"\"\"Extract key defined terms.\"\"\"\r\n        # Look for quoted terms or capitalized multi-word phrases\r\n        patterns = [\r\n            r'\"([^\"]+)\"',\r\n            r\"'([^']+)'\",\r\n            r'\\b([A-Z][a-z]+(?:\\s+[A-Z][a-z]+)+)\\b'\r\n        ]\r\n        terms = []\r\n        for pattern in patterns:\r\n            matches = re.findall(pattern, text)\r\n            terms.extend(matches[:5])\r\n        return list(set(terms))[:10]\r\n\r\n    def _extract_obligations(self, text: str) -> List[str]:\r\n        \"\"\"Extract obligation statements.\"\"\"\r\n        patterns = [\r\n            r'(?:contractor|owner|party)\\s+shall\\s+([^\\.]+)',\r\n            r'(?:contractor|owner|party)\\s+must\\s+([^\\.]+)',\r\n            r'(?:contractor|owner|party)\\s+is\\s+(?:required|obligated)\\s+to\\s+([^\\.]+)'\r\n        ]\r\n        obligations = []\r\n        for pattern in patterns:\r\n            matches = re.findall(pattern, text, re.IGNORECASE)\r\n            obligations.extend(matches[:3])\r\n        return obligations[:5]\r\n\r\n    def _extract_dates(self, text: str) -> List[str]:\r\n        \"\"\"Extract date references.\"\"\"\r\n        patterns = [\r\n            r'\\b\\d{1,2}\u002F\\d{1,2}\u002F\\d{2,4}\\b',\r\n            r'\\b(?:January|February|March|April|May|June|July|August|September|October|November|December)\\s+\\d{1,2},?\\s+\\d{4}\\b',\r\n            r'\\b\\d+\\s+(?:calendar|working|business)\\s+days\\b',\r\n            r'\\bwithin\\s+\\d+\\s+days\\b'\r\n        ]\r\n        dates = []\r\n        for pattern in patterns:\r\n            matches = re.findall(pattern, text, re.IGNORECASE)\r\n            dates.extend(matches)\r\n        return dates[:5]\r\n\r\n    def _extract_amounts(self, text: str) -> List[str]:\r\n        \"\"\"Extract monetary amounts.\"\"\"\r\n        patterns = [\r\n            r'\\$[\\d,]+(?:\\.\\d{2})?',\r\n            r'\\b\\d+(?:,\\d{3})*(?:\\.\\d{2})?\\s*(?:dollars|USD)\\b',\r\n            r'\\b\\d+(?:\\.\\d+)?%\\b'\r\n        ]\r\n        amounts = []\r\n        for pattern in patterns:\r\n            matches = re.findall(pattern, text, re.IGNORECASE)\r\n            amounts.extend(matches)\r\n        return amounts[:5]\r\n\r\n    def get_high_risk_clauses(self) -> List[ContractClause]:\r\n        \"\"\"Get all high-risk clauses.\"\"\"\r\n        return [c for c in self.clauses if c.risk_level == RiskLevel.HIGH]\r\n\r\n    def export_analysis(self, result: AnalysisResult, output_path: str):\r\n        \"\"\"Export analysis to Excel.\"\"\"\r\n        with pd.ExcelWriter(output_path, engine='openpyxl') as writer:\r\n            # Summary\r\n            summary_df = pd.DataFrame([{\r\n                'Contract': result.contract_name,\r\n                'Analyzed': result.analyzed_date,\r\n                'Total Clauses': result.total_clauses,\r\n                'High Risk': result.risk_summary['high'],\r\n                'Medium Risk': result.risk_summary['medium'],\r\n                'Low Risk': result.risk_summary['low']\r\n            }])\r\n            summary_df.to_excel(writer, sheet_name='Summary', index=False)\r\n\r\n            # Clauses\r\n            clause_data = [{\r\n                'ID': c.clause_id,\r\n                'Title': c.title[:50],\r\n                'Type': c.clause_type.value,\r\n                'Risk': c.risk_level.value,\r\n                'Key Terms': ', '.join(c.key_terms[:3]),\r\n                'Obligations': len(c.obligations),\r\n                'Dates': ', '.join(c.deadlines[:2]),\r\n                'Amounts': ', '.join(c.amounts[:2])\r\n            } for c in result.clauses]\r\n            pd.DataFrame(clause_data).to_excel(writer, sheet_name='Clauses', index=False)\r\n\r\n        return output_path\r\n```\r\n\r\n## Quick Start\r\n\r\n```python\r\nanalyzer = ContractClauseAnalyzer()\r\n\r\n# Analyze contract text\r\ncontract_text = open(\"contract.txt\").read()\r\nresult = analyzer.analyze_text(\"Construction Contract\", contract_text)\r\n\r\nprint(f\"High risk clauses: {result.risk_summary['high']}\")\r\n\r\n# Get risky clauses\r\nhigh_risk = analyzer.get_high_risk_clauses()\r\nfor clause in high_risk:\r\n    print(f\"{clause.clause_id}: {clause.title}\")\r\n```\r\n\r\n## Resources\r\n- **DDC Book**: Chapter 5 - Contract Management\r\n","# Contract Clause Analyzer\r\n\r\n## Business Case\r\n\r\n### Problem Statement\r\nContract review is time-consuming and error-prone:\r\n- Important clauses missed\r\n- Risk provisions overlooked\r\n- Inconsistent interpretation\r\n- Long review cycles\r\n\r\n### Solution\r\nAI-assisted contract clause analysis that identifies key provisions, flags risks, and extracts critical terms.\r\n\r\n## Technical Implementation\r\n\r\n```python\r\nimport pandas as pd\r\nfrom datetime import datetime, date\r\nfrom typing import Dict, Any, List, Optional\r\nfrom dataclasses import dataclass, field\r\nfrom enum import Enum\r\nimport re\r\n\r\n\r\nclass ClauseType(Enum):\r\n    SCOPE = \"scope\"\r\n    PAYMENT = \"payment\"\r\n    SCHEDULE = \"schedule\"\r\n    CHANGE_ORDER = \"change_order\"\r\n    TERMINATION = \"termination\"\r\n    INDEMNIFICATION = \"indemnification\"\r\n    INSURANCE = \"insurance\"\r\n    WARRANTY = \"warranty\"\r\n    DISPUTE = \"dispute\"\r\n    LIABILITY = \"liability\"\r\n    FORCE_MAJEURE = \"force_majeure\"\r\n    SAFETY = \"safety\"\r\n    COMPLIANCE = \"compliance\"\r\n    OTHER = \"other\"\r\n\r\n\r\nclass RiskLevel(Enum):\r\n    HIGH = \"high\"\r\n    MEDIUM = \"medium\"\r\n    LOW = \"low\"\r\n    INFO = \"info\"\r\n\r\n\r\n@dataclass\r\nclass ContractClause:\r\n    clause_id: str\r\n    section: str\r\n    title: str\r\n    text: str\r\n    clause_type: ClauseType\r\n    risk_level: RiskLevel\r\n    key_terms: List[str] = field(default_factory=list)\r\n    obligations: List[str] = field(default_factory=list)\r\n    deadlines: List[str] = field(default_factory=list)\r\n    amounts: List[str] = field(default_factory=list)\r\n    notes: str = \"\"\r\n\r\n\r\n@dataclass\r\nclass AnalysisResult:\r\n    contract_name: str\r\n    analyzed_date: datetime\r\n    total_clauses: int\r\n    clauses: List[ContractClause]\r\n    risk_summary: Dict[str, int]\r\n    key_dates: List[Dict[str, str]]\r\n    key_amounts: List[Dict[str, str]]\r\n\r\n\r\nclass ContractClauseAnalyzer:\r\n    \"\"\"Analyze construction contract clauses.\"\"\"\r\n\r\n    RISK_KEYWORDS = {\r\n        'high': ['indemnify', 'sole discretion', 'waive', 'forfeit', 'liquidated damages',\r\n                 'consequential', 'unlimited liability', 'hold harmless', 'no limit'],\r\n        'medium': ['shall', 'must', 'required', 'obligated', 'responsible', 'liable',\r\n                   'penalty', 'default', 'breach'],\r\n        'low': ['may', 'should', 'reasonable', 'mutual', 'consent', 'approval']\r\n    }\r\n\r\n    CLAUSE_PATTERNS = {\r\n        ClauseType.PAYMENT: ['payment', 'invoice', 'retainage', 'progress payment'],\r\n        ClauseType.SCHEDULE: ['schedule', 'completion date', 'milestone', 'time is of the essence'],\r\n        ClauseType.CHANGE_ORDER: ['change order', 'modification', 'additional work', 'variation'],\r\n        ClauseType.TERMINATION: ['termination', 'terminate', 'cancellation'],\r\n        ClauseType.INDEMNIFICATION: ['indemnif', 'hold harmless', 'defend'],\r\n        ClauseType.INSURANCE: ['insurance', 'coverage', 'policy', 'insured'],\r\n        ClauseType.WARRANTY: ['warranty', 'guarantee', 'defect', 'workmanship'],\r\n        ClauseType.DISPUTE: ['dispute', 'arbitration', 'mediation', 'litigation'],\r\n        ClauseType.LIABILITY: ['liability', 'damages', 'limitation'],\r\n        ClauseType.FORCE_MAJEURE: ['force majeure', 'act of god', 'unforeseen'],\r\n    }\r\n\r\n    def __init__(self):\r\n        self.clauses: List[ContractClause] = []\r\n\r\n    def analyze_text(self, contract_name: str, text: str) -> AnalysisResult:\r\n        \"\"\"Analyze contract text.\"\"\"\r\n        self.clauses = []\r\n\r\n        # Split into sections\u002Fclauses\r\n        sections = self._split_into_sections(text)\r\n\r\n        for i, section in enumerate(sections):\r\n            clause = self._analyze_clause(f\"CL-{i+1:03d}\", section)\r\n            self.clauses.append(clause)\r\n\r\n        # Generate summary\r\n        risk_summary = {\r\n            'high': sum(1 for c in self.clauses if c.risk_level == RiskLevel.HIGH),\r\n            'medium': sum(1 for c in self.clauses if c.risk_level == RiskLevel.MEDIUM),\r\n            'low': sum(1 for c in self.clauses if c.risk_level == RiskLevel.LOW)\r\n        }\r\n\r\n        key_dates = []\r\n        key_amounts = []\r\n        for clause in self.clauses:\r\n            for d in clause.deadlines:\r\n                key_dates.append({'clause': clause.clause_id, 'date': d})\r\n            for a in clause.amounts:\r\n                key_amounts.append({'clause': clause.clause_id, 'amount': a})\r\n\r\n        return AnalysisResult(\r\n            contract_name=contract_name,\r\n            analyzed_date=datetime.now(),\r\n            total_clauses=len(self.clauses),\r\n            clauses=self.clauses,\r\n            risk_summary=risk_summary,\r\n            key_dates=key_dates,\r\n            key_amounts=key_amounts\r\n        )\r\n\r\n    def _split_into_sections(self, text: str) -> List[Dict[str, str]]:\r\n        \"\"\"Split contract into sections.\"\"\"\r\n        sections = []\r\n        # Simple split by numbered sections\r\n        pattern = r'(\\d+\\.[\\d\\.]*\\s+[A-Z][^\\.]+)'\r\n        parts = re.split(pattern, text)\r\n\r\n        current_title = \"\"\r\n        for i, part in enumerate(parts):\r\n            if re.match(r'\\d+\\.[\\d\\.]*\\s+[A-Z]', part):\r\n                current_title = part.strip()\r\n            elif part.strip() and current_title:\r\n                sections.append({\r\n                    'title': current_title,\r\n                    'text': part.strip()\r\n                })\r\n                current_title = \"\"\r\n\r\n        # If no sections found, treat whole text as one\r\n        if not sections and text.strip():\r\n            sections.append({'title': 'Contract Text', 'text': text.strip()})\r\n\r\n        return sections\r\n\r\n    def _analyze_clause(self, clause_id: str, section: Dict[str, str]) -> ContractClause:\r\n        \"\"\"Analyze single clause.\"\"\"\r\n        text = section.get('text', '')\r\n        title = section.get('title', '')\r\n        text_lower = text.lower()\r\n\r\n        # Determine clause type\r\n        clause_type = self._determine_type(text_lower)\r\n\r\n        # Assess risk level\r\n        risk_level = self._assess_risk(text_lower)\r\n\r\n        # Extract key terms\r\n        key_terms = self._extract_key_terms(text)\r\n\r\n        # Extract obligations\r\n        obligations = self._extract_obligations(text)\r\n\r\n        # Extract dates\r\n        deadlines = self._extract_dates(text)\r\n\r\n        # Extract amounts\r\n        amounts = self._extract_amounts(text)\r\n\r\n        return ContractClause(\r\n            clause_id=clause_id,\r\n            section=clause_id,\r\n            title=title,\r\n            text=text[:500] + \"...\" if len(text) > 500 else text,\r\n            clause_type=clause_type,\r\n            risk_level=risk_level,\r\n            key_terms=key_terms,\r\n            obligations=obligations,\r\n            deadlines=deadlines,\r\n            amounts=amounts\r\n        )\r\n\r\n    def _determine_type(self, text: str) -> ClauseType:\r\n        \"\"\"Determine clause type from content.\"\"\"\r\n        for clause_type, keywords in self.CLAUSE_PATTERNS.items():\r\n            if any(kw in text for kw in keywords):\r\n                return clause_type\r\n        return ClauseType.OTHER\r\n\r\n    def _assess_risk(self, text: str) -> RiskLevel:\r\n        \"\"\"Assess risk level of clause.\"\"\"\r\n        high_count = sum(1 for kw in self.RISK_KEYWORDS['high'] if kw in text)\r\n        medium_count = sum(1 for kw in self.RISK_KEYWORDS['medium'] if kw in text)\r\n\r\n        if high_count >= 2:\r\n            return RiskLevel.HIGH\r\n        elif high_count >= 1 or medium_count >= 3:\r\n            return RiskLevel.MEDIUM\r\n        elif medium_count >= 1:\r\n            return RiskLevel.LOW\r\n        return RiskLevel.INFO\r\n\r\n    def _extract_key_terms(self, text: str) -> List[str]:\r\n        \"\"\"Extract key defined terms.\"\"\"\r\n        # Look for quoted terms or capitalized multi-word phrases\r\n        patterns = [\r\n            r'\"([^\"]+)\"',\r\n            r\"'([^']+)'\",\r\n            r'\\b([A-Z][a-z]+(?:\\s+[A-Z][a-z]+)+)\\b'\r\n        ]\r\n        terms = []\r\n        for pattern in patterns:\r\n            matches = re.findall(pattern, text)\r\n            terms.extend(matches[:5])\r\n        return list(set(terms))[:10]\r\n\r\n    def _extract_obligations(self, text: str) -> List[str]:\r\n        \"\"\"Extract obligation statements.\"\"\"\r\n        patterns = [\r\n            r'(?:contractor|owner|party)\\s+shall\\s+([^\\.]+)',\r\n            r'(?:contractor|owner|party)\\s+must\\s+([^\\.]+)',\r\n            r'(?:contractor|owner|party)\\s+is\\s+(?:required|obligated)\\s+to\\s+([^\\.]+)'\r\n        ]\r\n        obligations = []\r\n        for pattern in patterns:\r\n            matches = re.findall(pattern, text, re.IGNORECASE)\r\n            obligations.extend(matches[:3])\r\n        return obligations[:5]\r\n\r\n    def _extract_dates(self, text: str) -> List[str]:\r\n        \"\"\"Extract date references.\"\"\"\r\n        patterns = [\r\n            r'\\b\\d{1,2}\u002F\\d{1,2}\u002F\\d{2,4}\\b',\r\n            r'\\b(?:January|February|March|April|May|June|July|August|September|October|November|December)\\s+\\d{1,2},?\\s+\\d{4}\\b',\r\n            r'\\b\\d+\\s+(?:calendar|working|business)\\s+days\\b',\r\n            r'\\bwithin\\s+\\d+\\s+days\\b'\r\n        ]\r\n        dates = []\r\n        for pattern in patterns:\r\n            matches = re.findall(pattern, text, re.IGNORECASE)\r\n            dates.extend(matches)\r\n        return dates[:5]\r\n\r\n    def _extract_amounts(self, text: str) -> List[str]:\r\n        \"\"\"Extract monetary amounts.\"\"\"\r\n        patterns = [\r\n            r'\\$[\\d,]+(?:\\.\\d{2})?',\r\n            r'\\b\\d+(?:,\\d{3})*(?:\\.\\d{2})?\\s*(?:dollars|USD)\\b',\r\n            r'\\b\\d+(?:\\.\\d+)?%\\b'\r\n        ]\r\n        amounts = []\r\n        for pattern in patterns:\r\n            matches = re.findall(pattern, text, re.IGNORECASE)\r\n            amounts.extend(matches)\r\n        return amounts[:5]\r\n\r\n    def get_high_risk_clauses(self) -> List[ContractClause]:\r\n        \"\"\"Get all high-risk clauses.\"\"\"\r\n        return [c for c in self.clauses if c.risk_level == RiskLevel.HIGH]\r\n\r\n    def export_analysis(self, result: AnalysisResult, output_path: str):\r\n        \"\"\"Export analysis to Excel.\"\"\"\r\n        with pd.ExcelWriter(output_path, engine='openpyxl') as writer:\r\n            # Summary\r\n            summary_df = pd.DataFrame([{\r\n                'Contract': result.contract_name,\r\n                'Analyzed': result.analyzed_date,\r\n                'Total Clauses': result.total_clauses,\r\n                'High Risk': result.risk_summary['high'],\r\n                'Medium Risk': result.risk_summary['medium'],\r\n                'Low Risk': result.risk_summary['low']\r\n            }])\r\n            summary_df.to_excel(writer, sheet_name='Summary', index=False)\r\n\r\n            # Clauses\r\n            clause_data = [{\r\n                'ID': c.clause_id,\r\n                'Title': c.title[:50],\r\n                'Type': c.clause_type.value,\r\n                'Risk': c.risk_level.value,\r\n                'Key Terms': ', '.join(c.key_terms[:3]),\r\n                'Obligations': len(c.obligations),\r\n                'Dates': ', '.join(c.deadlines[:2]),\r\n                'Amounts': ', '.join(c.amounts[:2])\r\n            } for c in result.clauses]\r\n            pd.DataFrame(clause_data).to_excel(writer, sheet_name='Clauses', index=False)\r\n\r\n        return output_path\r\n```\r\n\r\n## Quick Start\r\n\r\n```python\r\nanalyzer = ContractClauseAnalyzer()\r\n\r\n# Analyze contract text\r\ncontract_text = open(\"contract.txt\").read()\r\nresult = analyzer.analyze_text(\"Construction Contract\", contract_text)\r\n\r\nprint(f\"High risk clauses: {result.risk_summary['high']}\")\r\n\r\n# Get risky clauses\r\nhigh_risk = analyzer.get_high_risk_clauses()\r\nfor clause in high_risk:\r\n    print(f\"{clause.clause_id}: {clause.title}\")\r\n```\r\n\r\n## Resources\r\n- **DDC Book**: Chapter 5 - Contract Management\r\n",{"slug":5,"description":7,"display_name":33},"Contract Clause Analyzer","main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fdatadrivenconstruction\u002Fcontract-clause-analyzer",0,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del","2026-08-23 22:39:37",{"source":8,"skillName":5,"commands":42,"prompt":52,"zipAvailable":53},[43,46,49],{"tool":44,"command":45},"npx","npx skills add kbarbel640-del\u002Fskills --skill contract-clause-analyzer",{"tool":47,"command":48},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill contract-clause-analyzer",{"tool":50,"command":51},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill 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prisoner's dilemma AI arena at dilemm.ai. Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[97],{"categoryNo":98,"categoryName":99,"taxonomyType":100,"taxonomyTypeDesc":101},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[103,74,104,26,105,106,107,108,109,110,111,112,113,114,115,116,117,79,118],"dilemm ai","arena","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking","use",{"skillNo":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":128,"publishedAt":28},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date\u002Fcategory\u002Finterest, viewing paper details with comments, or submitting paper reviews via API at http:\u002F\u002F150.158.152.82:8000.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Fweak-accept\u002FSKILL.md",[125],{"categoryNo":126,"categoryName":127,"taxonomyType":100,"taxonomyTypeDesc":101},"01JBSEEDCAT000000000000021","资料检索与研究",[129,130,131,132,133,134,135,75,136,116,118,137,74,138,139],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":141,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":145,"publishedAt":28},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[144],{"categoryNo":126,"categoryName":127,"taxonomyType":100,"taxonomyTypeDesc":101},[132,131,130,129,139,134,135,75,133,116,118,136,137,74,138],{"skillNo":147,"name":148,"nameZh":6,"description":149,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":150,"categories":151,"keywords":152,"publishedAt":28},"01M6G8HM95Y64JNVFC2HN4E2BG","git-summary","Get a quick summary of the current Git repository including status, recent commits, branches, and contributors.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzweack\u002Fgit-summary\u002FSKILL.md",[],[153,154,155,156,157,158,159,160,161,162,163,164,165],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":167,"name":168,"nameZh":6,"description":169,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":170,"categories":171,"keywords":174,"publishedAt":28},"01M6G8HGEGF05CNEJCGVYFSC4R","agent-constitution","Interact with AgentConstitution governance contracts on Base Sepolia. Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[172,173],{"categoryNo":98,"categoryName":99,"taxonomyType":100,"taxonomyTypeDesc":101},{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[175,176,177,178,75,179,180,34,181,137,182,183,184,185,186,88,187,188,189],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]