feat: add YC-Bench long-horizon agent benchmark environment

Adds eval-only benchmark for YC-Bench (collinear-ai/yc-bench), a
deterministic long-horizon benchmark where the agent acts as CEO of an
AI startup over a simulated 1-3 year run.

Key design decisions verified against the official yc-bench repo:
- Uses 'sim init' (NOT 'yc-bench run') to avoid starting a competing
  built-in agent loop
- Correct DB table names: 'companies' and 'sim_events'
- Correct 4 domains: research, inference, data_environment, training
- Penalty values are preset-dependent (not hardcoded in system prompt)
- Sequential evaluation (each run is 100-500 turns)
- Follows TerminalBench2 patterns: KeyboardInterrupt handling,
  cleanup_all_environments(), tqdm logging handler, streaming JSONL

yc-bench added as optional dependency: pip install hermes-agent[yc-bench]

Closes #340

pyproject.toml

@@ -50,6 +50,7 @@ pty = ["ptyprocess>=0.7.0"]
 honcho = ["honcho-ai>=2.0.1"]
 mcp = ["mcp>=1.2.0"]
 homeassistant = ["aiohttp>=3.9.0"]
+yc-bench = ["yc-bench @ git+https://github.com/collinear-ai/yc-bench.git"]
 all = [
   "hermes-agent[modal]",
   "hermes-agent[daytona]",