SkillOpt v0.1.0: initial release

- Skill optimization framework with training loop analogy
- 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen)
- WebUI for browser-based training control
- Pluggable architecture for extending benchmarks and backends

skillopt/evaluation/__init__.py

@@ -0,0 +1,7 @@
+"""ReflACT Evaluation -- candidate skill validation and model selection.
+
+Analogous to validation-based early stopping and model selection in neural
+network training: evaluates candidate skills on held-out selection sets and
+decides whether to accept or reject proposed updates.
+"""
+from skillopt.evaluation.gate import evaluate_gate, GateAction, GateResult  # noqa: F401