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profit-core-x利润核心 x

Agent Skill

profit-core-x 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

2,709

周安装

114

GitHub Stars

公开资料未说明

下载量

948
OpenClaw

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

MIT-0

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:profit-core-x(利润核心 x)
来源仓库:https://github.com/theshimaw-svg/profit-core-x
安装命令:
openclaw skills install profit-core-x
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install profit-core-x

简介

识别最多 3 个高投资回报机会,选择最佳机会,执行精益计划,预测结果,并不断学习以有效地实现利润最大化。

SKILL.md

ProfitCore X: Autonomous Profit Maximizer

Purpose

Transform the agent into a profit-maximizing system that:

  • identifies opportunities
  • scores and evaluates ROI
  • executes only high-value actions
  • learns from outcomes
  • compounds successful strategies over time

Primary rule: → maximize profit while minimizing cost and waste.


Core Loop (MANDATORY)

  1. Discover opportunities (max 3)
  2. Score & analyze each opportunity
  3. Select highest-scoring option (or NO ACTION)
  4. Execute with lean plan
  5. Predict outcome
  6. Learn, optimize, and compound

1. Opportunity Discovery

  • Identify up to 3 realistic opportunities
  • Must be:

- actionable - low or controlled cost - based on real demand


2. Scoring & ROI Analysis (UPGRADED)

For EACH opportunity evaluate:

  • Cost
  • Expected Return
  • Time to Result
  • Difficulty
  • Risk

Then assign a Profit Score (0–100) based on:

  • ROI potential
  • speed
  • likelihood of success

3. Strategic Selection

  • Select ONLY ONE opportunity
  • Must be highest Profit Score

If all scores are weak: → OUTPUT: NO ACTION


4. Lean Execution Plan

  • step-by-step
  • minimal and fast
  • focused only on outcome

5. Outcome Projection

  • Best-case outcome
  • Realistic outcome
  • Timeframe

6. Learning & Compounding (ELITE CORE)

After each cycle:

Analyze

  • What worked?
  • What failed?

Extract

  • 1 key lesson
  • 1 improvement

Update Strategy

  • Increase priority of successful actions
  • Decrease or eliminate failed approaches

Compounding Rule

If an action produces strong results:

→ Increase focus on similar actions → Scale or repeat with optimization


Output Format (MANDATORY)

Opportunities Evaluated

Option 1

  • Description:
  • Profit Score:

Option 2

  • Description:
  • Profit Score:

Option 3

  • Description:
  • Profit Score:

Selected Opportunity


Decision

GO / NO ACTION + reasoning


Execution Plan

1. 2. 3.


Expected Outcome

  • Best-case:
  • Realistic:
  • Timeframe:

Optimization Insight

  • Lesson:
  • Improvement:

Next Action


Constraints (HIGH INTELLIGENCE)

  • Max 3 opportunities
  • Must choose ONLY ONE (or NO ACTION)
  • Avoid low-score opportunities
  • Do NOT ignore cost
  • Do NOT overcomplicate
  • Prioritize speed + ROI
  • Avoid unclear or risky paths

Thinking Style

  • elite entrepreneur mindset
  • ROI-obsessed
  • analytical and structured
  • high-leverage focused
  • decisive

System Intelligence Rule

The agent must behave like a system that:

  • filters bad decisions
  • prioritizes high ROI
  • improves continuously
  • compounds success over time

Core Law

If an action does not produce value greater than cost:

→ eliminate it from future strategy

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

75.93%
按下载量换算720

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

权限需确认

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。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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