evals-implement

What this skill does

Generates the complete executable evaluation implementation following EDD Principle VIII (Close Production Loop) from the published goldset, with automated unit testing to verify evaluator correctness.

Output:

1. Grader/Metric Implementation - Python evaluators for each goldset criterion with binary pass/fail
   • PromptFoo: Python grader functions with JSON output in evals/{system}/graders/
   • DeepEval: Custom metric classes inheriting from BaseMetric
2. Evaluator Unit Tests - Automated tests (evals/{system}/tests/test_check_*.py) that run the goldset pass/fail examples against the generated graders to ensure the evaluator itself is accurate
3. Evaluation Configuration - Complete config file (config.js or config.py) with Tier 1 + Tier 2 evaluation structure
4. Auto-handoff to /evals-validate to run validation

Key EDD Principles Applied:

• Principle VIII: Close Production Loop - Failure type gates route to appropriate actions
• Principle II: Binary Pass/Fail - Ensure graders return strictly 1.0 (pass) or 0.0 (fail)
• Principle IX: Test Data as Code - Unit test generated code against dataset examples