lmzhen/dsh-evolution--packages-evolution-feedback1

@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。

パッケージ
@deepseek-ai/dsh-evolution-feedback
バージョン
0.3.70
ライセンス
MIT
最終更新
2026/09/12

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 skillUsage service.
  • P1-1 (v15): feedback writes the FEEDBACK-OWNED feedback_score/feedback_warn usage fields. The lifecycle engine and the scope view read the union quality_warn || feedback_warn, so a negative feedback shortens the stale window even though the curator's six-factor run always recomputes quality_warn itself.