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lmzhen/dsh-evolution--packages-evolution-feedback ↗★ 1

@deepseek-ai/dsh-evolution-feedback

提供自我演进的反馈质量评分服务

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。

Agent 協作
套件
@deepseek-ai/dsh-evolution-feedback
版本
0.3.70
授權
MIT
最近更新
2026年9月12日

安裝

此插件尚未提供可驗證的 bundle，或相容性檢查未通過。請先閱讀倉庫說明。 閱讀完整 README ↗

說明文件

閱讀完整 README ↗

@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.