lmzhen/dsh-evolution--packages-evolution-feedback ↗★ 1
@deepseek-ai/dsh-evolution-feedback
Feedback-to-quality scoring for self-evolution
AI 分析
用于自我演进系统的反馈质量评分,适合需要评估演进质量的开发者。
インストール
検証済み bundle がないか、互換性チェックに失敗しています。先にリポジトリの説明を読んでください。 README 全文を読む ↗
ドキュメント
README 全文を読む ↗@deepseek-ai/dsh-evolution-feedback
Feedback-to-quality scoring for self-evolution
Model Experience
Indirect model surface
What the model sees
@deepseek-ai/dsh-evolution-feedback registers no direct prompt or tool schema itself. Model-visible effects are owned by the packages that consume this service.
Token effect
Zero direct token effect from this package; consumers add any model-visible tokens.
KV Cache effect
Independent of request-prefix construction. This package does not alter the assembled prompt or tool list.
Known Limitations and Deferred Work
- Persists through the IO seam; quality propagation into skill usage requires the
skillUsageservice. - P1-1 (v15): feedback writes the FEEDBACK-OWNED
feedback_score/feedback_warnusage fields. The lifecycle engine and the scope view read the unionquality_warn || feedback_warn, so a negative feedback shortens the stale window even though the curator's six-factor run always recomputesquality_warnitself.