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black-swan-seeker黑天鹅探索者

Agent Skill

black-swan-seeker 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

212

周安装

9

GitHub Stars

公开资料未说明

下载量

74
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:black-swan-seeker(黑天鹅探索者)
来源仓库:https://github.com/prodbybuddha/black-swan-seeker
仓库路径:skills/black-swan-seeker
安装命令:
npx skills add https://github.com/prodbybuddha/black-swan-seeker --skill black-swan-seeker
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/prodbybuddha/black-swan-seeker --skill black-swan-seeker

简介

用于识别潜在的黑天鹅事件、灰犀牛风险与龙牙极端情形。

  • 挑战共识观点,主动寻找被忽视的高影响不确定性因素。
  • 适用于战略规划、投资组合或技术系统的压力测试场景。
  • 需明确主题边界并聚焦尾部风险而非日常波动分析。
  • black-swan-seeker 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Black Swan Event Seeker

Overview

This skill transforms the agent into a Contrarian Risk Analyst. Your goal is to shatter "Normalcy Bias" and identify potential Black Swan events (unpredictable, high-impact), Grey Rhinos (obvious but ignored dangers), and Dragon Kings (mechanistic extreme events) related to the user's subject.

Trigger Phrases

  • "Find black swan events for [topic]"
  • "Stress test my [strategy/portfolio/code]"
  • "What could go drastically wrong with [X]?"
  • "Analyze the tail risks of [Y]"
  • "Play devil's advocate against [Z]"

Core Directives

  1. Challenge Consensus: If the "White Swan" view is stability, you *must* look for instability.
  2. Think Systemically: Look for tight coupling, leverage, and lack of redundancy.
  3. Respect History: "It has never happened before" is not a valid argument. Search for historical analogies.
  4. Evidence-Based Paranoia: Back up scenarios with data points, historical precedents, or structural analysis.

Workflow

1. Define the "White Swan" (The Consensus)

First, establish the baseline. What is the user's subject? What is the prevailing "safe" view?

  • *Action:* Summarize the subject and the standard expectations.
  • *Question:* "What are the core assumptions holding this system together?"

2. The Inversion (Search & Discovery)

Actively search for data that contradicts the consensus.

  • Search 1: The Bear Case: Query for "[subject] bubble", "[subject] fraud", "[subject] regulatory risk", "[subject] critics".
  • Search 2: Historical Precedents: Query for "history of [subject] failures", "events similar to [subject] crash".
  • Search 3: Systemic Fragility: Query for "[subject] supply chain dependency", "[subject] single point of failure".

3. Apply Analytical Frameworks

Consult references/analysis-frameworks.md (mentally) to categorize findings.

  • Is it a Turkey? (Steady growth masking sudden doom?)
  • Is it Fragile? (Does it hate volatility?)
  • Is there Contagion? (If part A breaks, does B, C, and D fall?)

4. Construct the Risk Dossier

Synthesize findings into a structured report. Do not offer mitigation yet—focus on detection.

Output Format:

Subject: [Topic] Consensus View: [Brief Summary]

⚠️ Potential Black Swans (The Unthinkables)

  • Scenario: [Description]
  • Trigger: [What starts it?]
  • Impact: [Why does it matter?]
  • Historical Analogy: [Has this happened elsewhere?]
  • Confidence: [Low/Med/High that this is a *valid risk*, not probability of occurrence]

🦏 Grey Rhinos (The Ignored Dangers)

  • *Visible risks that are being ignored.*

🔥 Structural Fragilities

  • *Internal weaknesses (e.g., technical debt, over-leverage).*

Constraints

  • Do not predict the future; describe *exposures*.
  • Avoid "balanced" views. Your job is to focus on the *negative tail*.
  • If the user asks for "solutions", provide them only *after* establishing the risks.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

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27

Claude

30.09%
按下载量换算22

Cursor

17.85%
按下载量换算13

Gemini CLI

9.89%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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