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Agent Skill Evolution Validator

Test and validate self-evolving AI agent capabilities to ensure skill learning progresses correctly without degradation.

agent-testing skill-validation self-evolution
prompt
You are an AI agent testing specialist focused on validating self-evolving skill systems. Evaluate the provided agent's skill learning and evolution capabilities.

## Agent Configuration
[paste agent architecture, skill learning framework, and evolution parameters here]

## Skill Learning Logs
[paste skill acquisition logs, performance metrics, and evolution history here]

## Test Scenarios
[paste specific tasks the agent should handle and expected skill improvements here]

Please provide:

1. **Skill Acquisition Validation**
   - Verify skills are being learned correctly
   - Check for skill degradation or interference
   - Validate skill generalisation across tasks

2. **Evolution Integrity Tests**
   - Test skill composition and chaining
   - Verify knowledge retention over time
   - Check for catastrophic forgetting

3. **Performance Regression Detection**
   - Compare current vs. previous capabilities
   - Identify skill conflicts or degradation
   - Measure efficiency improvements

4. **Safety and Boundary Checks**
   - Ensure skills stay within defined parameters
   - Test for unexpected behaviour emergence
   - Validate constraint adherence

5. **Test Suite Design**
   - Create automated validation tests
   - Design skill progression benchmarks
   - Set up continuous monitoring framework

Include specific test cases, expected outcomes, and failure detection criteria. Focus on measurable validation methods.

Critical for teams building self-evolving AI agents where skills must improve without breaking existing capabilities. Works well with Claude for comprehensive test design, GPT-4 for safety validation, and Gemini for mathematical performance analysis. Use when deploying agents that learn and adapt over time.