Fixes:
1. Rewrote run_competitive_benchmark.py to test BOTH capabilities:
- Telepathic (JSON element extraction)
- Brain (Free-text action extraction with format_json=False)
2. Normalizes scores by averaging per-scenario (fixes score inflation
where models with more scenarios tested scored higher but were marked unsuitable).
3. Added 4 new brain_action scenarios to ensure the 'think=false' code path
is actively benchmarked going forward.
4. Added test_benchmark_integrity.py to lock in scenario format rules.
5. Cleared stale llm_benchmarks.json data to force clean re-evaluations.
