"""
CustomSkillEvaluator
Generated by Eden via recursive self-improvement
2025-11-01 04:33:25.141285
"""

class CustomSkillEvaluator:
    """
    This class provides functionality to assess the value and relevance of proposed new skills or ideas.
    
    The evaluation is based on three main criteria:
    1. Relevance: How closely aligned the skill/idea is with current project goals.
    2. Impact: The potential positive impact the skill/idea could have on the system's performance.
    3. Complexity: The ease of implementation and integration into existing systems.

    Each criterion is scored out of 5, and a final score is calculated by averaging these scores.
    """

    def __init__(self):
        self.criteria = {
            "relevance": {"weight": 2, "max_score": 5},
            "impact": {"weight": 3, "max_score": 5},
            "complexity": {"weight": 1, "max_score": 5}
        }

    def evaluate_skill(self, relevance_score: int, impact_score: int, complexity_score: int) -> float:
        """
        Evaluate a new skill or idea based on predefined criteria.
        
        :param relevance_score: The score given to the relevance of the skill/idea.
        :param impact_score: The score given to the potential impact of the skill/idea.
        :param complexity_score: The score given to the ease of implementation and integration.
        :return: A float representing the average score of the evaluation.
        """
        if not all(0 <= score <= 5 for score in [relevance_score, impact_score, complexity_score]):
            raise ValueError("Scores must be between 0 and 5.")
        
        total_weight = sum([value["weight"] for value in self.criteria.values()])
        weighted_sum = (self.criteria["relevance"]["weight"] * relevance_score +
                        self.criteria["impact"]["weight"] * impact_score +
                        self.criteria["complexity"]["weight"] * complexity_score)
        
        return round(weighted_sum / total_weight, 2)

# Example usage
if __name__ == "__main__":
    evaluator = CustomSkillEvaluator()
    
    # Assess a new skill with scores: relevance=4, impact=3, complexity=2
    score = evaluator.evaluate_skill(4, 3, 2)
    print(f"Evaluated Skill Score: {score}")