1 Commits
Author SHA1 Message Date
gongzhiyongandOmX 10a980b0bf 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>
2026-05-16 14:36:47 +08:00