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eval-harness

Evaluation harness for testing agent and skill quality through structured benchmarks, regression tests, and quality scoring.

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See how to install

Files included (2)

  • SKILL.md2.1 KB
  • README.md230 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

  • 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)

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