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Agent Skill · 研究检索

hum-ethics(嗡嗡的伦理)

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。

hum-ethics 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 60,816。

总安装 364周安装 15GitHub Stars 125下载 119核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/hum-ethics

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/asgard-ai-platform/skills --skill hum-ethics;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

hum-ethics 怎么安装?

在终端执行 npx skills add https://github.com/asgard-ai-platform/skills --skill hum-ethics。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

hum-ethics 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

hum-ethics 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

hum-ethics 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

hum-ethics 用的人多吗?

公开数据是累计安装 364 次,近一周安装 15 次,下载 119 次,GitHub 125 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

hum-ethics 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
hum-ethics

嗡嗡的伦理 · 本页

364125只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

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

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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