Establish agent swarm quality evidence

Define Agent and swarm-specific acceptance evidence, move the reports under docs, and make the homepage point to the current standard, live run, model I/O, and handoff evidence.

Constraint: Agent quality standards are configured from industry AI and agent risk references because there is no single accepted swarm-Agent certification standard.

Rejected: Treating py_compile or unittest as the primary quality standard | they are evidence collection tools, not the Agent quality standard itself.

Confidence: high

Scope-risk: moderate

Directive: Keep future standard reports under docs/ and keep secrets in ignored local .env files only.

Tested: git diff --cached --check; python -B -m py_compile swarm_minimal/*.py examples/*.py tests/*.py; python -B -m unittest discover -s tests; python -u -B examples/run_academic_standard_evaluation.py

Not-tested: Did not rerun the full live Azure/NewAPI S07 scenario after moving docs; previous live run 3e8e58ae4e084bc8b90cf5c46f8992f3 passed before the docs relocation.

Co-authored-by: OmX <omx@oh-my-codex.dev>

examples/run_three_newapi_agnets.py

@@ -7,7 +7,7 @@ ROOT = Path(__file__).resolve().parents[1]
 sys.path.insert(0, str(ROOT))
 
 from swarm_minimal.core import InMemorySwarmStore, SwarmCoordinator, Task
-from swarm_minimal.local_env import load_env_file
+from swarm_minimal.local_env import load_project_env
 from swarm_minimal.newapi_agnet import (
     NewApiChannelConfig,
     build_model_test_agnets,
@@ -17,7 +17,7 @@ from swarm_minimal.newapi_agnet import (
 
 
 def main() -> None:
-    load_env_file(ROOT / ".env")
+    load_project_env(ROOT)
     config = NewApiChannelConfig.from_env()
     print(json.dumps(config.redacted_summary(), ensure_ascii=False, indent=2))