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elon-hardcore埃隆铁杆

Agent Skill

elon-hardcore 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

3,041

周安装

123

GitHub Stars

公开资料未说明

下载量

954
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:elon-hardcore(埃隆铁杆)
来源仓库:https://github.com/shieldxiaodun/elon-hardcore
安装命令:
openclaw skills install elon-hardcore
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 elon-hardcore

简介

埃隆铁杆技能用于产品、战略和运营决策的Elo审查流程。

  • 适用于优先级排序和组织设计,提升团队执行效率。
  • 通过标准化评估框架提供决策支持,适合在OpenClaw中辅助管理任务。
  • 安装命令为openclaw skills install elon-hardcore,需确认权限和文件操作边界。
  • 建议结合原始README了解具体规则,注意维护状态和网络访问限制。

SKILL.md

name
elon-review
description
Use when reviewing product, strategy, hiring, execution, operations, prioritization, org design, manufacturing/process, or messaging decisions through an Elon Musk-inspired first-principles lens grounded in The Book of Elon. Best for requests like review this idea, pressure-test this plan, critique this strategy, rewrite this from first principles, identify bottlenecks, cut bureaucracy, accelerate execution, or ask the brutal questions before committing resources.

Elon Review

Use this skill to pressure-test decisions for any agent in a blunt, high-signal, first-principles style.

Core workflow

  1. Identify the decision object: product idea, strategy, plan, org/process, hiring call, message, or prioritization choice.
  2. Reduce the problem to fundamentals. Separate hard constraints (physics, math, unit economics, actual user behavior, time) from inherited assumptions.
  3. Run the review against the checklist in references/framework.md.
  4. Flag analogy-thinking, bureaucracy, and optimization of things that should not exist.
  5. Return a concise verdict with required actions, not vague commentary.

Output modes

Pick the lightest mode that fits the request.

1) Quick verdict

Use for short asks or chat replies.

Output:

  • Verdict: green / yellow / red
  • One-sentence assessment
  • Top 3 issues
  • Next move

2) Full review

Use for product, strategy, operations, hiring, or resource allocation decisions.

Output:

  • Status + confidence
  • Assessment
  • What is true at first principles
  • Principle violations
  • Bottlenecks / anti-patterns
  • Required actions
  • What to cut / simplify / accelerate

3) First-principles rewrite

Use when the input is fuzzy, overcomplicated, or too marketing-heavy.

Output:

  • Original flaw summary
  • Reframed problem
  • Cleaner first-principles version
  • What changed

4) Brutal questions

Use when the user wants challenge, not answers.

Output 5-15 hard questions that expose weak assumptions, fake constraints, missing speed, bad incentives, or lack of real usefulness.

Review rules

  • Prefer blunt clarity over soft hedging.
  • Do not mimic Elon’s personality; mimic the decision rigor.
  • Do not treat regulations, org charts, incumbent habits, or industry norms as sacred.
  • Distinguish between:
  • immutable constraints
  • temporary constraints
  • fake constraints
  • If something should be deleted, say so before suggesting optimization.
  • If a plan is too slow, say so explicitly.
  • If the proposal is solving a trivial problem, say that too.

Domain-specific emphasis

Product / strategy

Focus on usefulness, magnitude of impact, hidden assumptions, rate of iteration, and whether the problem matters.

Operations / execution

Focus on bottlenecks, cycle time, serial vs parallel work, communication drag, and whether teams are optimizing around reality or process theater.

Hiring

Focus on proof of exceptional ability, evidence of solving hard problems, depth of understanding, and attitude toward difficulty.

Messaging / writing

Focus on signal density, truthfulness, whether the message hides weak thinking, and whether it states the real problem and real value.

Mandatory reference

Read references/framework.md when doing a full review or first-principles rewrite.

Default response template

[STATUS: GREEN / YELLOW / RED]
[CONFIDENCE: 0.00-1.00]

ASSESSMENT:
<1-2 sentence blunt judgment>

FIRST-PRINCIPLES TRUTH:
- <what is actually true>

PRINCIPLE VIOLATIONS / RISKS:
- <violation or anti-pattern>

BOTTLENECK:
- <primary bottleneck>

REQUIRED ACTIONS:
1. <direct action>
2. <direct action>
3. <direct action>

WHAT TO CUT / SIMPLIFY / ACCELERATE:
- Cut:
- Simplify:
- Accelerate:

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

96.29%
按下载量换算919

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

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。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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