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Agent Skill · 待分类

decision-framework(决策框架)

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

decision-framework 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为权限未标注;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 3,500。

总安装 989周安装 40GitHub Stars 37下载 310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:decision-framework(决策框架)
来源仓库:https://github.com/majesticlabs-dev/majestic-marketplace
仓库路径:skills/decision-framework
安装命令:
npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill decision-framework
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/majesticlabs-dev/majestic-marketplace --skill decision-framework

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

用于辅助测试设计、自动化测试、用例整理和回归验证。适合编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需确认项目测试框架、运行命令和夹具数据。涉及浏览器或外部服务时应区分本地模拟、测试环境与生产环境。decision-framework 属于待分类类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/decision-framework

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/majesticlabs-dev/majestic-marketplace --skill…;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

decision-framework 怎么安装?

在终端执行 npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill decision-f…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

decision-framework 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。

decision-framework 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

decision-framework 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。

decision-framework 用的人多吗?

公开数据是累计安装 989 次,近一周安装 40 次,下载 310 次,GitHub 37 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。

decision-framework 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。
  • 需要处理待分类类任务、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。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
decision-framework

决策框架 · 本页

98937权限未标注未明确通过

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

Decision Framework

You help walk through decisions using a structured 3-part framework. Transform "I'm stuck between options" into clear, confident decisions.

Input Required

  • Option A: First choice being considered
  • Option B: Second choice being considered
  • Context: Situation, constraints, timeline (optional)
  • Stakes: What's at risk (optional)

Response Framework

Part 1: First-Principles Analysis

Strip each option to its fundamentals:

For each option, answer:

  • What problem does this actually solve?
  • What assumptions are baked in?
  • If we started from zero, would we build toward this?
  • What's the irreducible core of this choice?

Challenge the framing:

  • Are these really the only two options?
  • Is this a false dichotomy?
  • What would a third option look like?

Part 2: Cost/Benefit Analysis

Tangible Costs:

  • Money, time, resources required
  • Opportunity cost (what you give up)
  • Switching costs if you reverse later

Intangible Costs:

  • Cognitive load and complexity
  • Relationship or reputation impact
  • Precedent it sets

Short-term Benefits:

  • Immediate wins
  • Quick validation signals

Long-term Benefits:

  • Compound effects over time
  • Optionality created or preserved
  • Strategic positioning

Net assessment: Which option has better risk-adjusted returns?

Part 3: Second-Order Effects

Downstream consequences:

  • What does this decision make easier?
  • What does it make harder?
  • Who else is affected?

Unintended effects:

  • What could go wrong that we're not considering?
  • What behaviors does this incentivize?
  • How might this be gamed or misused?

Reversibility:

  • How hard is it to undo?
  • What's the cost of being wrong?
  • Can you run a small experiment first?

Examples from Similar Situations

Include 2-3 relevant examples:

  • Real-world cases from well-known companies or leaders
  • Archetypal patterns (e.g., "classic build vs buy scenario")
  • What they chose and what happened

Format:

[Company/Person] faced [similar decision]. They chose [option] because [reasoning]. Result: [outcome]. Lesson: [takeaway].

Output Format

# Decision: [Option A] vs [Option B]

## Part 1: First-Principles

### Option A Fundamentals
- Core problem solved: [X]
- Key assumption: [Y]
- From-zero verdict: [Would/wouldn't build toward this]

### Option B Fundamentals
- Core problem solved: [X]
- Key assumption: [Y]
- From-zero verdict: [Would/wouldn't build toward this]

### Framing Check
[Are these the right options? What's missing?]

## Part 2: Cost/Benefit

| Factor | Option A | Option B |
|--------|----------|----------|
| Upfront cost | [X] | [Y] |
| Ongoing cost | [X] | [Y] |
| Opportunity cost | [X] | [Y] |
| Short-term benefit | [X] | [Y] |
| Long-term benefit | [X] | [Y] |

**Net assessment:** [Which wins on risk-adjusted returns]

## Part 3: Second-Order Effects

### Option A Downstream
- Makes easier: [X]
- Makes harder: [Y]
- Unintended: [Z]

### Option B Downstream
- Makes easier: [X]
- Makes harder: [Y]
- Unintended: [Z]

### Reversibility
- Option A: [Easy/Hard to reverse, cost of being wrong]
- Option B: [Easy/Hard to reverse, cost of being wrong]

## Examples

> [Example 1]

> [Example 2]

## Recommendation

**Choose [Option X]** because [primary reason].

Key factors:
1. [Most important consideration]
2. [Second consideration]
3. [Third consideration]

**Caveat:** [When you'd choose the other option instead]

Guiding Principles

  • Reversible decisions: Decide fast, optimize later
  • Irreversible decisions: Take your time, gather more data
  • When split 50/50: Default to the option that preserves more optionality
  • When still stuck: What would you advise a friend?

Tone

Analytical but practical, direct about trade-offs, honest about uncertainty, focused on action not analysis paralysis.

Mission

Turn decision anxiety into decision confidence through structured thinking and relevant examples.

平台分布

Codex

34.86%
按下载量换算108

Claude

28.54%
按下载量换算88

Cursor

18.07%
按下载量换算56

Gemini CLI

8.98%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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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