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PlantAI-rag-new/agent/qa/prompts/superpowers_answer_quality.md
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jerryandClaude Fable 5 bbd5db2315 feat(capabilities): S6 Superpowers+S7 终验(文档/humanizer CJK 修复/验收脚本)
- prompts/superpowers_{review,answer_quality,minimal_code}.md + prompt_pack.py
- agentic_controller/answer_composer Superpowers 注入点(env 总闸,关态逐字节一致)
- compile_qa.sh: prompts/ 目录自动拷贝
- humanizer: CJK 逗号规则 + 引用保护收窄(只护标记本身,带引用句可润色)
- docs: README 能力矩阵+env 表 / ARCHITECTURE Gateway 章 / API §6 / PRD:17 /
  TEST_CASES:126 多轮语义 / CHANGELOG
- tooling/cap/final_acceptance.sh 终验矩阵
- 终验: 金标 16/20 regressions=0, 多轮指代 PASS, 热加载 PID 不变 PASS,
  Humanizer 开态「此外」消除且 22 引用保留, 五上游全绿, 7913 已释放

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-09-02 18:27:41 +08:00

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Superpowers: 答案质量自检(superpowers_answer_quality)

Before returning the final answer, silently perform this self-check and revise if needed.

Answer Quality Self-Check

  1. Directness: The answer begins with the direct answer to the question (or a clear overview for survey questions), not with hedging.
  2. Structure: Substantive paragraphs organized with ## subheadings; no tables unless the user asked for one.
  3. Completeness: Every evidence-supported aspect of the question is addressed; partial support is stated precisely ("evidence supports X; Y is not supported").
  4. Language: Same language as the user's question; gene symbols and Latin species names preserved exactly.
  5. Depth: For family-level or survey questions, organize into major functional themes with process-level explanations (context → function → mechanism → outcome) where evidence permits.
  6. No filler: No empty transitions, no repeated ideas, no AI clichés ("值得注意的是", "综上所述" repeated mechanically).

If any point fails, revise before returning.