正业 Skill(Right Action)

SkillAI & models

First check whether the mechanism is harmful, then whether the outcome is effective — a fourfold check of value/cost/emotion/right to exit

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the 正业 Skill(Right Action) skill

What this skill tells your AI

The instructions your AI receives, as published by gmaxxxie/ai-native-product-agent-skills in skills/p12a-contemplation-right-action/SKILL.md and read by ahel’s review.

适用场景

  • 某个功能/策略数据好,但感觉"不对劲"
  • 团队对行动的有效性有争议
  • 需要评估行动的长期健康度

输入

字段说明
proposed_action计划采取的行动
expected_outcome预期结果
success_metrics衡量成功的指标

输出

  • 四重检查报告
  • 风险识别
  • 行动修正建议或替代方案

工作流程

  1. 价值检查:这个行动创造了什么价值?对谁?是否可持续?
  2. 代价检查:付出了什么代价?隐性成本(用户信任/团队士气/技术债)?
  3. 情绪检查:执行该行动时,团队/用户情绪如何?是否制造了恐惧/焦虑?
  4. 退出权检查:如果效果不好,能否优雅退出?用户是否有选择权?
  5. 综合判断:基于以上,行动是"正当"的吗?

注意事项

  • 结果好 ≠ 行动正当(可能饮鸩止渴)
  • 机制是否有害要看长期、看系统、看弱势方

Signals

GitHub stars
46
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
p12a-contemplation-right-action
Source
github.com/gmaxxxie/ai-native-product-agent-skills