AgentSkillsCN

Evaluate Equipment Lease

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SKILL.md

Skill: Evaluate Equipment Lease

Domain

machinery_equipment

Description

Evaluates equipment lease proposals comparing lease vs buy economics, residual value analysis, and total cost of ownership.

Tags

leasing, equipment, machinery, finance, TCO, capital-planning

Use Cases

  • •Lease vs buy analysis
  • •Equipment financing decisions
  • •Residual value assessment
  • •Total cost comparison

Proprietary Business Rules

Rule 1: Net Present Value Analysis

NPV calculation for lease vs purchase comparison.

Rule 2: Residual Value Estimation

Equipment depreciation and end-of-term value projection.

Rule 3: Tax Benefit Analysis

Evaluation of tax implications for each financing option.

Rule 4: Maintenance Cost Allocation

Assessment of maintenance responsibilities and costs.

Input Parameters

  • •equipment_id (string): Equipment identifier
  • •equipment_specs (dict): Equipment details
  • •lease_terms (dict): Proposed lease terms
  • •purchase_price (float): Cash purchase price
  • •usage_profile (dict): Expected utilization
  • •financial_params (dict): Company financial parameters

Output

  • •recommendation (string): Lease or buy recommendation
  • •npv_comparison (dict): NPV analysis results
  • •tco_analysis (dict): Total cost of ownership breakdown
  • •break_even_point (dict): Break-even analysis
  • •risk_factors (list): Identified risks

Implementation

The evaluation logic is implemented in lease_evaluator.py and references data from CSV files:

  • •depreciation.csv - Reference data
  • •maintenance_costs.csv - Reference data
  • •lease_market_rates.csv - Reference data
  • •utilization_factors.csv - Reference data
  • •financing_benchmarks.csv - Reference data
  • •tax_considerations.csv - Reference data
  • •parameters.csv - Reference data.

Usage Example

python
from lease_evaluator import evaluate_lease

result = evaluate_lease(
    equipment_id="EQ-2026-001",
    equipment_specs={"type": "excavator", "model": "CAT 320", "useful_life_years": 10},
    lease_terms={"monthly_payment": 5000, "term_months": 60, "buyout": 50000},
    purchase_price=350000,
    usage_profile={"hours_per_year": 2000, "intensity": "heavy"},
    financial_params={"discount_rate": 0.08, "tax_rate": 0.25}
)

print(f"Recommendation: {result['recommendation']}")

Test Execution

python
from lease_evaluator import evaluate_lease

result = evaluate_lease(
    equipment_id=input_data.get('equipment_id'),
    equipment_specs=input_data.get('equipment_specs', {}),
    lease_terms=input_data.get('lease_terms', {}),
    purchase_price=input_data.get('purchase_price', 0),
    usage_profile=input_data.get('usage_profile', {}),
    financial_params=input_data.get('financial_params', {})
)