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grad-info-economics研究生信息 经济学

Agent Skill

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。

总安装

399

周安装

16

GitHub Stars

125

下载量

129
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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: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

简介

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。

SKILL.md

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*.

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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

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通过

Snyk

通过

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安装前确认

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