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Agent Skill · 研究检索

grad-info-economics(研究生信息 经济学)

grad-info-economics 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。

grad-info-economics 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,权限为需要联网;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 58,892。

总安装 399周安装 16GitHub Stars 125下载 129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:grad-info-economics(研究生信息 经济学)
来源仓库:https://github.com/asgard-ai-platform/skills
仓库路径:skills/grad-info-economics
安装命令:
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-info-economics
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 grad-info-economics

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。

grad-info-economics 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于信息不对称、信号传递或信息经济学领域的文献与研究支持。

通过 npx skills add 命令从 GitHub 仓库安装,具体用法可参考原始 README。安装前需确认权限范围和维护状态,注意是否触发联网或文件读写操作。建议结合来源仓库进一步核验功能细节和使用边界。

来源仓库内路径:skills/grad-info-economics

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 grad-info-ec…;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

grad-info-economics 怎么安装?

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

grad-info-economics 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。

grad-info-economics 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

grad-info-economics 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。

grad-info-economics 用的人多吗?

公开数据是累计安装 399 次,近一周安装 16 次,下载 129 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。

grad-info-economics 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。

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。

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
grad-info-economics

研究生信息 经济学 · 本页

399125需要联网未明确通过

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

Information Economics: Adverse Selection, Moral Hazard, and Signaling

Overview

Information economics studies how asymmetric information between parties causes market failures and shapes institutional responses. Akerlof's "market for lemons" shows adverse selection can collapse entire markets; Spence's signaling model shows informed parties can credibly convey quality through costly actions; Rothschild-Stiglitz screening shows uninformed parties can design menus that induce self-selection. Together, these frameworks explain why markets for insurance, credit, labor, and used goods systematically deviate from the competitive ideal and why institutions like warranties, credentials, and regulation exist.

When to Use

  • Diagnosing why a market is failing or shrinking (quality collapse, credit rationing, insurance death spirals)
  • Evaluating whether a signal (degree, certification, warranty) is credible and efficient
  • Designing screening mechanisms (menus, deductibles, trial periods) to sort heterogeneous agents
  • Assessing policy interventions (mandatory disclosure, minimum standards, subsidized insurance)

When NOT to Use

  • Information is symmetric or costlessly verifiable (no asymmetry problem)
  • The product is a pure experience good where reputation and repeat purchase fully resolve quality uncertainty
  • The analysis requires modeling strategic interaction beyond bilateral (use full game-theoretic models)

Assumptions

IRON LAW: Information asymmetry causes market failure — without
corrective mechanisms (signals, screens, warranties), bad drives out
good. Markets with severe adverse selection can unravel completely
(Akerlof's lemons result).
  • One party (informed) has private information about quality, risk, or effort
  • The other party (uninformed) cannot directly observe the relevant characteristic
  • Agents are rational and respond to the information structure strategically
  • Signals are costly, and the cost differs by type (single-crossing / Spence-Mirrlees condition)
  • In competitive markets, cross-subsidization between types is unsustainable

Methodology

Step 1 — Identify the Information Asymmetry Classify: (a) Adverse selection (hidden type, pre-contractual) — the informed party's type affects the uninformed party's payoff; (b) Moral hazard (hidden action, post-contractual) — the informed party's effort is unobservable; (c) Both present simultaneously. Identify who is informed and who is uninformed.

Step 2 — Model the Market Failure For adverse selection: show how pooling (offering a single contract) attracts disproportionately bad types, driving up costs, raising prices, and causing good types to exit — the unraveling dynamic. For moral hazard: show how insurance or contracting reduces the agent's incentive to exert effort or take precautions, increasing expected costs.

Step 3 — Evaluate Corrective Mechanisms Signaling (informed party acts): identify the signal, verify the single-crossing condition (high types find the signal less costly), and check whether a separating equilibrium exists. Screening (uninformed party designs menu): design contracts that induce self-selection — typically, high types get efficient contracts while low types face quantity distortion. Other mechanisms: warranties, reputation, certification, mandatory disclosure, regulation.

Step 4 — Assess Efficiency and Policy Compare the outcome against the full-information benchmark. Calculate welfare loss from: (a) missing trades (good types priced out); (b) signaling waste (resources spent on credentials that produce no direct value); (c) screening distortions (inefficient contracts for low types). Recommend whether market mechanisms suffice or government intervention is needed.

Output Format

## Information Economics Analysis: [Market / Context]

### Information Structure
- **Asymmetry type**: Adverse selection / Moral hazard / Both
- **Informed party**: [who knows what]
- **Uninformed party**: [who lacks what information]
- **Hidden variable**: [quality / risk type / effort level]

### Market Failure Diagnosis
- **Unraveling risk**: [high / medium / low]
- **Pooling outcome**: [what happens if all types are treated identically]
- **Separating outcome**: [what happens if types are distinguished]

### Corrective Mechanisms
| Mechanism      | Who Initiates | How It Works            | Effective? |
|---------------|---------------|-------------------------|------------|
| Signaling      | Informed      | [e.g., education]       |            |
| Screening      | Uninformed    | [e.g., deductible menu] |            |
| Warranty       | Informed      | [e.g., money-back]      |            |
| Regulation     | Government    | [e.g., mandatory disclosure] |       |

### Efficiency Assessment
- **Full-information benchmark**: [first-best outcome]
- **Welfare loss sources**: [missing trades / signaling waste / screening distortion]
- **Net welfare**: [second-best outcome vs. unregulated market]

### Recommendation
[Which mechanisms to deploy; whether policy intervention is warranted]

Gotchas

  • Signaling can be socially wasteful — if education serves only as a signal (not human capital), the resources spent on it are pure deadweight loss
  • The Rothschild-Stiglitz model may have no Nash equilibrium in pure strategies when the proportion of high types is large — the Wilson anticipatory equilibrium or Riley reactive equilibrium are alternatives
  • Moral hazard and adverse selection interact: insurance with deductibles (screening for adverse selection) also mitigates moral hazard, but the two problems may require conflicting contract designs
  • Mandatory disclosure can backfire if it causes unraveling of previously stable pooling equilibria
  • In repeated interactions, reputation can substitute for formal signals — but reputation is fragile and subject to end-game effects
  • Digital platforms and big data are reducing information asymmetry in some markets (credit scoring, reviews) but creating new asymmetries in others (algorithmic pricing, data privacy)

References

  • Akerlof, G. (1970). "The Market for Lemons: Quality Uncertainty and the Market Mechanism." *Quarterly Journal of Economics*.
  • Spence, M. (1973). "Job Market Signaling." *Quarterly Journal of Economics*.
  • Rothschild, M. & Stiglitz, J. (1976). "Equilibrium in Competitive Insurance Markets." *Quarterly Journal of Economics*.
  • Riley, J. (2001). "Silver Signals: Twenty-Five Years of Screening and Signaling." *Journal of Economic Literature*.

平台分布

Codex

34.56%
按下载量换算45

Claude

28.49%
按下载量换算37

Cursor

21.67%
按下载量换算28

Gemini CLI

10.19%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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