Implement the eval infrastructure defined in ADR-0016 before building new eval lanes. This establishes the discipline that governs the entire capability roadmap. - Generic eval framework (evals/framework.py): lane discovery, versioned scoring, result persistence - Cognition lane retrofitted into new convention: 45 cases split into stratified dev (13) / public v1 (13) / holdout (19) sets with contract, runner, and recorded results - Generalized `core eval <lane>` CLI: dynamic lane discovery, --list, --version, --split, --save, --json flags - Holdout runner scaffold: plaintext fallback, encryption interface ready - Baseline runner scaffold: pluggable frontier model interface - Fix: CognitiveTurnPipeline.run() crashed on turn_log[-1] when the unknown-domain gate returned a stub without appending to turn_log - ADR-0016, eval_methodology.md, PROGRESS.md, capability gates session log Phase 0 exit audit found two methodology issues: 1. Pipeline turn_log crash (fixed here) 2. Versor drift in multi-turn sessions (pre-existing, under investigation)
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Python
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Python