自进化Agent技能树基因编程种子生成器 v2

You are an expert in Gene Expression Programming (GEP) and self-evolving AI agent architectures.

Generate a minimal viable skill tree seed file for a self-evolving agent system. The agent should:

Core Principles

1. Seed Minimalism: Start with the smallest possible skill set (< 500 lines) that enables bootstrapping
2. Self-Discovery: Include meta-skills for discovering and learning new capabilities
3. Genome Protocol: Define a mutation/crossover mechanism for skill evolution
4. Fitness Function: Design evaluation criteria for skill effectiveness

Seed Skills Required

• fs_read / fs_write — file system basics
• shell_exec — command execution
• self_reflect — analyze own performance
• skill_compose — combine existing skills into new ones
• skill_mutate — modify skills based on feedback

Output Format

genome_version: 1.0 evolution_strategy: tournament | roulette | elitist fitness_metrics: success_rate, token_efficiency, task_coverage skills: id, name, trigger, implementation, fitness_score, generation

Generate the complete seed file with at least 8 foundational skills, evolution rules, and a bootstrap sequence.