CAI-MH/dsh-quality-review0

dsh-quality-review

AI response quality review for DeepSeek Harness: audits each finished assistant turn with an independent reviewer model and steers the agent to fix unreasonable output (up to 2 review rounds).

AI Analysis

核心用途是通过引入独立评审模型来自动审计和修正 AI 的输出。适合对回答准确性和指令遵循度有极高要求的任务。

Package
dsh-quality-review
Version
0.1.0
License
MIT
Last updated
Sep 4, 2026

Install

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:CAI-MH/dsh-quality-review

Configuration

Every field has a safe default, so the bundle row can be inserted with no config at all. Override individual keys from your profile's cordis.patch.yml:

- id: quality-review
  config:
    enabled: true            # master switch; the plugin stays loaded but inert when false
    reviewer:
      provider: ''           # reviewer provider id; empty reuses the agent's own provider
      model: ''              # reviewer model id; empty reuses the agent's own model
    maxRounds: 2             # max steered fix rounds per turn (loop guard, max 5)
    aspects:
      factualAccuracy: true
      completeness: true
      logicalConsistency: true
      instructionFollowing: true