popular-support-analysis

SkillDev tools

Lets your agent assess popular rebellion risk by evaluating economic, legal, and safety conditions of a population.

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 popular-support-analysis skill

About this capability

Use when analyzing rebellion risk or diagnosing why uprisings succeed or fail. Applies the principle 安民可与行义而危民易与为非 to assess popular contentment vs. endangerment using economic, legal, and safety indicators. References Chen She's rebellion.

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_038/SKILL.md and read by ahel’s review.

Overview

A framework for understanding that the success of rebellion depends primarily on the people's condition, not the leader's capabilities.

Core Principle

安民可与行义,而危民易与为非 - Contented people will support righteous action; endangered people are easily led into rebellion.

Analysis Framework

Assess Popular Condition

  1. Contented (安) - People feel secure, basic needs met, treated fairly

    • Result: Stability, support for government
    • Rebellion risk: Low
  2. Endangered (危) - People feel threatened, impoverished, oppressed

    • Result: Instability, susceptibility to rebellion
    • Rebellion risk: High

Key Indicators

  • Economic security (food, shelter)
  • Legal fairness (proportionate punishment)
  • Government responsiveness
  • Sense of personal safety

Application

  1. Evaluate the people's condition using indicators above
  2. If endangered, implement relief measures immediately
  3. Understand that even weak leaders can spark successful rebellion when people are desperate

Historical Example

Chen She, despite lacking noble status, military experience, or exceptional ability, successfully led a rebellion because the people were endangered (民危也).

Validation

  • Verify that all four key indicators (economic security, legal fairness, government responsiveness, personal safety) were assessed
  • Confirm that the popular condition was correctly classified as contented (安) or endangered (危) based on evidence
  • Check that relief measures were recommended or implemented immediately when the endangered condition was identified

Signals

GitHub stars
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Forks
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Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
popular-support-analysis
Source
github.com/baojie/shiji-kb