feat(sleep): prototype community rules with local empirical gating

[阿东玩AI (adongwanai)]

Summary

• add a versioned skillopt.community-rules v1 manifest for distilled rules,
  provenance-free rationales, licenses, and aggregate observed effects
• export accepted skill/add edits without copying transcripts, tasks, memory,
  responses, or evidence logs
• require explicit manual review before importing external rules
• evaluate every imported rule independently on the importer's local val
  split, requiring strict score improvement with zero task-level regressions
• stage accepted rules through the existing review/adopt boundary

Safety model

• the manifest schema rejects unknown fields and has no transcript field
• publisher-reported effects are informational and never affect local gating
• observed effects are explicitly scoped to the complete candidate set
• imported rules are never automatically adopted
• train and test tasks remain outside the import decision

Non-goals

• hosted registry, moderation, or automatic publication
• transcript anonymization or transcript exchange
• automatic discovery or adoption of remote rules

Validation

• python3.12 -m pytest -q
  • 1502 passed, 11 skipped
• uvx ruff check skillopt_sleep/community.py skillopt_sleep/__main__.py tests/test_community_rules.py
• mkdocs build --strict

Addresses #156.

[阿东玩AI (adongwanai)]

@microsoft-github-policy-service agree