eval-harness

• Define test cases with known-correct outputs
• Run agent against each test case
• Score: accuracy, completeness, relevance
• Compare against baseline performance
• Track performance over time

2. Skill Quality Testing

• Verify skill instructions produce expected outcomes
• Test edge cases and boundary conditions
• Measure consistency across multiple runs
• Check for harmful or incorrect outputs
• Validate against ground truth

3. Regression Suite

• Collection of previously-passing test cases
• Run after any agent/skill modification
• Flag regressions with before/after comparison
• Maintain pass rate threshold (>= 95%)

4. Process Verification

• End-to-end process execution with known inputs
• Verify each phase produces expected outputs
• Check task ordering and dependency satisfaction
• Measure total execution time

Quality Scoring

Accuracy Score (0-100)

• Correctness of output vs expected
• Partial credit for partially correct outputs
• Penalty for hallucinated or fabricated content

Completeness Score (0-100)

• Coverage of required output elements
• Missing sections flagged and scored
• Bonus for useful additional context

Consistency Score (0-100)

• Run same input 3 times
• Compare outputs for semantic similarity
• Flag inconsistencies

Composite Score

• (accuracy 0.4 + completeness 0.3 + consistency * 0.3)
• Threshold: 80 to pass

When to Use

• After creating new agents or skills
• After modifying existing agents or skills
• Periodic quality audits
• Before promoting skills to production

Agents Used

• Used by process-level evaluation orchestrators
• No specific agent dependency (evaluates other agents)