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fear-and-anger-decision-filter恐惧和愤怒决策过滤器

Agent Skill

fear-and-anger-decision-filter 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

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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:fear-and-anger-decision-filter(恐惧和愤怒决策过滤器)
来源仓库:https://github.com/coowoolf/insighthunt-skills
仓库路径:skills/fear-and-anger-decision-filter
安装命令:
npx skills add https://github.com/coowoolf/insighthunt-skills --skill 'Fear and Anger Decision Filter'
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/coowoolf/insighthunt-skills --skill 'Fear and Anger Decision Filter'

简介

fear-and-anger-decision-filter 用于识别高压力决策中的恐惧与愤怒情绪,并提供逆向验证机制。

  • 适用于重要会议、绩效反馈或高风险业务决策前的心理状态评估。
  • 使用时需设定具体赌注并执行相反行动,以检验负面预测的真实性。
  • 建议在关键决策前启用,但需注意情绪判断可能存在主观偏差。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

The Fear & Anger Decision Filter

"Fear gives bad advice... I think you're predicting that if you do this A will happen. Well, I'm predicting that if you do that, the exact opposite will happen." — Matt Mochary

What It Is

Matt posits that fear creates exaggerated negative predictions. The framework involves identifying when you are "in fear," creating a specific bet that the opposite outcome will occur if you act against the fear, and then taking that action.

When To Use

  • High-stakes decision where logical path feels emotionally dangerous
  • Sharing bad metrics with a board
  • Giving tough feedback to a high performer
  • Any decision where fear is the main objection

The Filter

┌──────────────────────────────────────────────────────┐
│  1. IDENTIFICATION                                   │
│     "Am I in fear or anger right now?"               │
│     (Ask a neutral peer if unsure)                   │
├──────────────────────────────────────────────────────┤
│  2. THE BET                                          │
│     Fear predicts: "If I do X, bad thing Y happens"  │
│     Counter-bet: "If I do X, opposite of Y happens"  │
├──────────────────────────────────────────────────────┤
│  3. ACTION                                           │
│     Do the opposite of what fear dictates            │
│     Track the actual outcome                         │
├──────────────────────────────────────────────────────┤
│  4. LEARN                                            │
│     Most of the time, the counter-bet wins           │
│     Build evidence that fear lies                    │
└──────────────────────────────────────────────────────┘

Core Principles

1. Identification

Recognize when you are gripped by fear or anger. Ask a neutral peer if unsure.

2. The Bet

Make a prediction that doing the "scary" thing (e.g., telling the board bad news) will actually build trust, not destroy it.

3. Action

Do the opposite of what your fear dictates to prove the prediction wrong.

How To Apply

STEP 1: Notice Fear Response
└── Sweaty palms, avoidance, procrastination
└── Rationalizing why NOT to do something

STEP 2: Write Down Fear's Prediction
└── "If I tell the board, they'll fire me"
└── "If I give feedback, she'll quit"

STEP 3: Write Counter-Prediction
└── "If I tell the board, they'll trust me more"
└── "If I give feedback, she'll improve"

STEP 4: Act on Counter-Prediction
└── Do exactly what fear says not to
└── Observe actual outcome

STEP 5: Record Result
└── Build personal evidence library
└── Fear is wrong 90%+ of the time

Common Mistakes

❌ Confusing physical danger with ego danger (this is for psychological safety)

❌ Using it to justify reckless decisions (works for interpersonal, not business risk)

❌ Not actually tracking outcomes (you need evidence to rewire)

Real-World Example

A CEO afraid to tell investors about a major business problem; upon using this framework, they disclosed it and the board praised their honesty, increasing trust.


*Source: Matt Mochary, Lenny's Podcast*

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平台分布

Codex

35.09%
按下载量换算657

Claude

32.35%
按下载量换算606

Cursor

17.02%
按下载量换算319

Gemini CLI

8.93%
按下载量换算167

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