AIWG training-complete framework — corpus-to-dataset pipeline with SKILL.md agentic surface and optional Python runtime backend. Marketplace plugin for AIWG.

Reproducible code and metrics for measuring exploitability and contamination in LLM evaluation harnesses.

End-to-end Python research pipeline replicating "Beyond Benchmark Rankings": treats LLM selection as portfolio construction rather than leaderboard ranking. Estimates marginal utility, informational novelty, and correlated-failure risk per model, then runs budget-feasible greedy optimization to select LLM ensembles.