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hum-ethics嗡嗡的伦理

Agent Skill

hum-ethics 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

364

周安装

15

GitHub Stars

125

下载量

119
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hum-ethics(嗡嗡的伦理)
来源仓库:https://github.com/asgard-ai-platform/skills
仓库路径:skills/hum-ethics
安装命令:
npx skills add https://github.com/asgard-ai-platform/skills --skill hum-ethics
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/asgard-ai-platform/skills --skill hum-ethics

简介

hum-ethics 用于查找、检索和筛选相关信息,支持基于关键词快速定位结果。

  • 适用于伦理相关研究和信息筛选场景。hum-ethics 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 通过 npx skills add 命令从 GitHub 仓库安装,需确认权限范围。
  • 使用前建议核实是否会触发联网或文件读写操作。
  • 可结合原始 README 继续核验具体功能和使用限制。

SKILL.md

Ethical Analysis

Overview

Ethical analysis applies moral philosophy frameworks to real-world dilemmas. No single framework provides all answers — the value is in examining a situation through multiple ethical lenses and making the tensions explicit.

Framework

IRON LAW: Apply Multiple Frameworks, Not Just One

Different ethical frameworks can reach DIFFERENT conclusions for the same
dilemma. Analyzing through only one lens is incomplete. Apply at least
two frameworks and explicitly compare where they agree and disagree.
The disagreement IS the insight.

Four Major Frameworks

1. Deontology (Kant) — Duty-based ethics

  • Actions are right or wrong based on rules/duties, regardless of outcomes
  • Categorical Imperative: Act only according to rules you could will to be universal
  • Test: "If everyone did this, would it still work?"
  • Strength: Consistent, protects individual rights. Weakness: Rigid, can't handle conflicting duties.

2. Utilitarianism (Mill, Bentham) — Consequence-based ethics

  • The right action produces the greatest good for the greatest number
  • Calculate total benefit minus total harm across all affected parties
  • Test: "Does this maximize overall well-being?"
  • Strength: Outcome-focused, pragmatic. Weakness: Can justify harming minorities for majority benefit.

3. Virtue Ethics (Aristotle) — Character-based ethics

  • Focus on what a virtuous person would do, not rules or outcomes
  • Core virtues: courage, temperance, justice, prudence, honesty, compassion
  • Test: "What would a person of good character do?"
  • Strength: Holistic, context-sensitive. Weakness: Subjective, hard to operationalize.

4. Justice Theory (Rawls) — Fairness-based ethics

  • Decisions should be made as if from behind a "veil of ignorance" — not knowing your own position in society
  • Prioritize the least advantaged members of society
  • Test: "Would I accept this outcome if I could be anyone affected?"
  • Strength: Addresses inequality. Weakness: Impractical for everyday decisions.

Analysis Steps

  1. State the dilemma: What is the decision? What are the options?
  2. Identify stakeholders: Who is affected? How?
  3. Apply each framework: What does each framework recommend?
  4. Compare recommendations: Where do they agree? Where do they diverge?
  5. Make the tensions explicit: What values are in conflict?
  6. Recommend with justification: Which framework(s) do you weight most, and why?

Output Format

# Ethical Analysis: {Dilemma}

## Dilemma Statement
- Decision: {what must be decided}
- Options: A) {option} B) {option}
- Stakeholders: {who is affected}

## Framework Analysis
| Framework | Recommendation | Reasoning |
|-----------|---------------|-----------|
| Deontology | A / B | {duty-based reasoning} |
| Utilitarianism | A / B | {consequence calculation} |
| Virtue Ethics | A / B | {character-based reasoning} |
| Justice Theory | A / B | {fairness reasoning} |

## Convergence / Divergence
- Agree on: {where frameworks align}
- Disagree on: {where they diverge and why}
- Core tension: {the fundamental values in conflict}

## Recommendation
{Decision with explicit justification of which values are prioritized and which trade-offs are accepted}

Examples

Correct Application

Scenario: Should a company share user data with law enforcement without a warrant to help catch a criminal?

FrameworkRecommendationReasoning
DeontologyNoUsers consented to terms that promise privacy. Breaking that promise violates a duty. Universalizing warrant-less sharing would destroy trust in all digital services.
UtilitarianismMaybeDepends on harm calculus: catching one criminal vs eroding privacy for millions. If the crime is serious enough, total utility might favor sharing.
Virtue EthicsNoAn honest, trustworthy company keeps its promises. A courageous company stands up to government pressure.
Justice (Rawls)NoFrom behind the veil of ignorance, you'd want your data protected — especially if you're in a vulnerable group subject to wrongful surveillance.

Convergence: 3 of 4 frameworks say no. The tension is between public safety (utilitarian) and individual privacy (deontological, rights-based) ✓

Incorrect Application

  • "Utilitarianism says share the data, so share it" → Only one framework applied. Violates Iron Law: apply multiple frameworks.

Gotchas

  • Ethical analysis ≠ moral judgment: The goal is to make the reasoning transparent, not to pronounce someone "good" or "bad."
  • Cultural relativity is real but has limits: Ethical norms vary across cultures, but some principles (don't torture, don't enslave) are widely considered universal. Acknowledge cultural context without falling into full relativism.
  • Utilitarianism is easily abused: "Greatest good for the greatest number" can justify horrific acts against minorities. Always pair with rights-based analysis.
  • Real dilemmas have no clean answer: If the answer were obvious, it wouldn't be a dilemma. The value of the analysis is making trade-offs explicit, not finding "the right answer."
  • Stakeholder identification changes the analysis: Forgetting a stakeholder group (future generations, non-human animals, indirect affected parties) biases the analysis.

References

  • For trolley problem variations and their implications, see references/trolley-problems.md
  • For business ethics case studies, see references/business-ethics-cases.md

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.44%
按下载量换算43

Claude

31.94%
按下载量换算38

Cursor

19.79%
按下载量换算24

Gemini CLI

8.33%
按下载量换算10

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通过

Snyk

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