* feat(sleep): adopt reviewed skill subsets safely
* fix(sleep): wire cycle staging and adopt-time review checks
Address PR 212 review: run_sleep_cycle stages resolved SkillProposals,
status/adopt list and select a subset, uniqueness is rechecked at adopt,
and a failed adopted_skills.json write rolls live files back.
Refs microsoft/SkillOpt#212
* test(sleep): mega-cover PR 212 review paths
Adversarial CLI, adopt-time, cycle-staging, and auto-adopt cases for
Yifan's five review items. Also tidy isort on the files this slice
touches.
Refs microsoft/SkillOpt#120
* fix(sleep): pin staged skill hashes and confine adopt targets
Harden PR 212 adopt: sha256 pin each staged skill, revalidate the
whole manifest before any live write, refuse symlink/missing-parent
targets, skip notes on the cycle report, and reject empty --skill.
Refs microsoft/SkillOpt#212
* fix(sleep): harden multi-skill fan-out adoption end to end
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Co-authored-by: Yif-Yang <yif_yang@qq.com>
- Skill optimization framework with training loop analogy
- 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen)
- WebUI for browser-based training control
- Pluggable architecture for extending benchmarks and backends
Bogdan (Dan) Baciu