refactor(gatekeeper): async eval runner with structured classes and stats tracking

- Make check_run_script async (acompletion) and add check_run_script_with_stats
  returning GatekeeperStats (tokens, cost, latency) alongside results
- Introduce EvalSuite and FileEval classes in run-eval.py, replacing global
  variables and eliminating duplicate single-file/multi-file code paths
- Load all test cases up front so progress output shows global numbering
  (e.g. [3/121]) as individual evals complete
- Add StatsAggregator dataclass for cleaner inference statistics reporting
- Add GatekeeperException with optional stats for timeout, output limit,
  and parse failures
- Add gatekeeper.cost config option for custom per-token cost accounting
- Switch summary/stats tables from plain text to rich.Table.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: owtaylor