Virtue-Reward Evaluation Framework
SkillDev toolsLets your agent analyze whether moral virtue actually leads to good outcomes using Sima Qian's comparisons of historical figures.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Virtue-Reward Evaluation Framework skill
About this capability
Use when analyzing whether virtue correlates with worldly success or questioning cosmic justice (天道). Compares virtuous sufferers (伯夷, 颜回) against prosperous villains (盗跖) using Sima Qian's method to assess 天道无亲常与善人 and inform ethical decision-making.
What this skill tells your AI
The instructions your AI receives, as published by baojie/shiji-kb in kg/ontology/ontology-v1/skus/procedural/skill_132/SKILL.md and read by ahel’s review.
Overview
An analytical method for examining the relationship between moral conduct and life outcomes, based on Sima Qian's comparative analysis of historical figures.
Steps
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Identify Test Cases
- Select virtuous individuals who suffered (e.g., Bo Yi, Shu Qi, Yan Hui)
- Select wicked individuals who prospered (e.g., Dao Zhi)
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Document Evidence
- Record specific virtuous behaviors (积仁絜行 - accumulating benevolence, pure conduct)
- Record outcomes (starvation, early death vs. long life, wealth)
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Compare Outcomes
- Analyze whether "heaven favors the good" (天道无亲,常与善人)
- Note contradictions between virtue and reward
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Draw Conclusions
- Acknowledge uncertainty about cosmic justice (余甚惑焉)
- Recognize that moral behavior does not guarantee material success
Expected Outcomes
- Clear-eyed assessment of virtue-reward correlation
- Understanding that worldly success and moral character may diverge
- Basis for ethical decision-making independent of expected rewards
Validation
- Verify test cases include both virtuous sufferers and wicked prosperers — a one-sided sample produces biased conclusions
- Confirm that documented evidence includes specific behaviors (积仁絜行) and specific outcomes (starvation, longevity), not vague generalizations
- Check whether conclusions honestly acknowledge uncertainty (余甚惑焉) rather than forcing a neat moral narrative
Signals
- GitHub stars
- 3k
- Forks
- 425
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
virtue-reward-evaluation-framework- Source
- github.com/baojie/shiji-kb