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ClaudeWave
Skill254 repo starsupdated 5mo ago

contract-clause-analyzer

The Contract Clause Analyzer uses natural language processing to automatically extract and categorize key sections from construction contracts, flagging high-risk provisions like indemnification and liability limitations. Use this skill when reviewing construction agreements to accelerate clause identification, prioritize risk areas by severity level, and ensure critical obligations and deadlines are not overlooked during contract evaluation.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction /tmp/contract-clause-analyzer && cp -r /tmp/contract-clause-analyzer/1_DDC_Toolkit/Document-Control/contract-clause-analyzer ~/.claude/skills/contract-clause-analyzer
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# Contract Clause Analyzer

## Business Case

### Problem Statement
Contract review is time-consuming and error-prone:
- Important clauses missed
- Risk provisions overlooked
- Inconsistent interpretation
- Long review cycles

### Solution
AI-assisted contract clause analysis that identifies key provisions, flags risks, and extracts critical terms.

## Technical Implementation

```python
import pandas as pd
from datetime import datetime, date
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
import re


class ClauseType(Enum):
    SCOPE = "scope"
    PAYMENT = "payment"
    SCHEDULE = "schedule"
    CHANGE_ORDER = "change_order"
    TERMINATION = "termination"
    INDEMNIFICATION = "indemnification"
    INSURANCE = "insurance"
    WARRANTY = "warranty"
    DISPUTE = "dispute"
    LIABILITY = "liability"
    FORCE_MAJEURE = "force_majeure"
    SAFETY = "safety"
    COMPLIANCE = "compliance"
    OTHER = "other"


class RiskLevel(Enum):
    HIGH = "high"
    MEDIUM = "medium"
    LOW = "low"
    INFO = "info"


@dataclass
class ContractClause:
    clause_id: str
    section: str
    title: str
    text: str
    clause_type: ClauseType
    risk_level: RiskLevel
    key_terms: List[str] = field(default_factory=list)
    obligations: List[str] = field(default_factory=list)
    deadlines: List[str] = field(default_factory=list)
    amounts: List[str] = field(default_factory=list)
    notes: str = ""


@dataclass
class AnalysisResult:
    contract_name: str
    analyzed_date: datetime
    total_clauses: int
    clauses: List[ContractClause]
    risk_summary: Dict[str, int]
    key_dates: List[Dict[str, str]]
    key_amounts: List[Dict[str, str]]


class ContractClauseAnalyzer:
    """Analyze construction contract clauses."""

    RISK_KEYWORDS = {
        'high': ['indemnify', 'sole discretion', 'waive', 'forfeit', 'liquidated damages',
                 'consequential', 'unlimited liability', 'hold harmless', 'no limit'],
        'medium': ['shall', 'must', 'required', 'obligated', 'responsible', 'liable',
                   'penalty', 'default', 'breach'],
        'low': ['may', 'should', 'reasonable', 'mutual', 'consent', 'approval']
    }

    CLAUSE_PATTERNS = {
        ClauseType.PAYMENT: ['payment', 'invoice', 'retainage', 'progress payment'],
        ClauseType.SCHEDULE: ['schedule', 'completion date', 'milestone', 'time is of the essence'],
        ClauseType.CHANGE_ORDER: ['change order', 'modification', 'additional work', 'variation'],
        ClauseType.TERMINATION: ['termination', 'terminate', 'cancellation'],
        ClauseType.INDEMNIFICATION: ['indemnif', 'hold harmless', 'defend'],
        ClauseType.INSURANCE: ['insurance', 'coverage', 'policy', 'insured'],
        ClauseType.WARRANTY: ['warranty', 'guarantee', 'defect', 'workmanship'],
        ClauseType.DISPUTE: ['dispute', 'arbitration', 'mediation', 'litigation'],
        ClauseType.LIABILITY: ['liability', 'damages', 'limitation'],
        ClauseType.FORCE_MAJEURE: ['force majeure', 'act of god', 'unforeseen'],
    }

    def __init__(self):
        self.clauses: List[ContractClause] = []

    def analyze_text(self, contract_name: str, text: str) -> AnalysisResult:
        """Analyze contract text."""
        self.clauses = []

        # Split into sections/clauses
        sections = self._split_into_sections(text)

        for i, section in enumerate(sections):
            clause = self._analyze_clause(f"CL-{i+1:03d}", section)
            self.clauses.append(clause)

        # Generate summary
        risk_summary = {
            'high': sum(1 for c in self.clauses if c.risk_level == RiskLevel.HIGH),
            'medium': sum(1 for c in self.clauses if c.risk_level == RiskLevel.MEDIUM),
            'low': sum(1 for c in self.clauses if c.risk_level == RiskLevel.LOW)
        }

        key_dates = []
        key_amounts = []
        for clause in self.clauses:
            for d in clause.deadlines:
                key_dates.append({'clause': clause.clause_id, 'date': d})
            for a in clause.amounts:
                key_amounts.append({'clause': clause.clause_id, 'amount': a})

        return AnalysisResult(
            contract_name=contract_name,
            analyzed_date=datetime.now(),
            total_clauses=len(self.clauses),
            clauses=self.clauses,
            risk_summary=risk_summary,
            key_dates=key_dates,
            key_amounts=key_amounts
        )

    def _split_into_sections(self, text: str) -> List[Dict[str, str]]:
        """Split contract into sections."""
        sections = []
        # Simple split by numbered sections
        pattern = r'(\d+\.[\d\.]*\s+[A-Z][^\.]+)'
        parts = re.split(pattern, text)

        current_title = ""
        for i, part in enumerate(parts):
            if re.match(r'\d+\.[\d\.]*\s+[A-Z]', part):
                current_title = part.strip()
            elif part.strip() and current_title:
                sections.append({
                    'title': current_title,
                    'text': part.strip()
                })
                current_title = ""

        # If no sections found, treat whole text as one
        if not sections and text.strip():
            sections.append({'title': 'Contract Text', 'text': text.strip()})

        return sections

    def _analyze_clause(self, clause_id: str, section: Dict[str, str]) -> ContractClause:
        """Analyze single clause."""
        text = section.get('text', '')
        title = section.get('title', '')
        text_lower = text.lower()

        # Determine clause type
        clause_type = self._determine_type(text_lower)

        # Assess risk level
        risk_level = self._assess_risk(text_lower)

        # Extract key terms
        key_terms = self._extract_key_terms(text)

        # Extract obligations
        obligations = self._extract_obligations(text)

        # Extract dates
        deadlines = self._extract_dates(