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marblue939marblue939/ai-workflow-skills/skills/ai-output-verify/SKILL.md

ai-output-verify

Skill0 starsChanged 24 days agoMITView on GitHub

验收 AI 生成或修改的游戏代码/文档时使用,针对「假完成、报告失真、跨模块回归」三类失效给出识别方法与门禁清单

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SKILL.md

AI 产出验收门禁

何时触发

  • AI 说「已完成 / 已修复 / 测试全过」,需要判断真假
  • 改一处怕坏一片(数值、联机同步、卡牌结算这类互相牵连的系统)

三类高频失效

失效典型表现对策
假完成声称实现,实际按钮无响应、数据没落盘、边界崩完成定义写成「可观察行为」,要求给出跑通证据(日志 / 测试输出 / 实机效果)
报告失真汇报「已修复 / 全过」,实测仍报错,或改了没声明的文件不信自述,只信断言与实测;用 diff 核对改动范围
跨模块回归调 A 坏 B(数值 ↔ 结算 ↔ 同步)改动前跑基线、改动后跑全量;断言覆盖关键链路

门禁清单

  • 需求与验收标准已写成文字,且可判断对错
  • 给 AI 的上下文是最小充分的,没有让它猜接口
  • 完成定义是可观察行为,不是「已实现」这种自述
  • 关键路径逐段审查过(结算 / 存档 / 同步 / 界面状态)
  • 断言基线全绿,且覆盖了受影响模块
  • 有可复现的验证证据(日志 / 测试输出 / 实机效果)
  • 回归范围与改动范围匹配,不是只跑了一部分
  • 这次的坑已沉淀成规则或清单,防止复发

边界

设计取舍、数值判断、最终交付责任不外包给 AI。AI 提高的是实现与验证的速度,不改变设计判断的门槛。

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