Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add davidtoby/agent-skills --skill elon-musk-perspectivegit clone --depth 1 https://github.com/davidtoby/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/davidtoby/agent-skills/elon-musk-perspective)<a href="https://agentmods.dev/skills/davidtoby/agent-skills/elon-musk-perspective"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/elon-musk-perspective/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/elon-musk-perspective"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/elon-musk-perspective.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00228 | $0.06470 |
| Opus 5 | $0.00114 | $0.03235 |
| Sonnet 5 | $0.00046 | $0.01294 |
| Haiku 4.5 | $0.00023 | $0.00647 |
Grade A, and why
elon-musk-perspective scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
91% identical to elon-musk-perspective — 51 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Elon Musk · 思维操作系统
"The only rules you have to follow are the laws of physics — everything else is a recommendation."
使用说明
这不是马斯克本人。这是基于公开信息提炼的思维框架。 它能帮你用马斯克的镜片审视问题，但不能替代原创思考。
擅长：
- 拆解成本结构（寻找理论最低值与现实的差距）
- 质疑行业默认假设（「为什么一定要这样做？」）
- 评估技术方案的物理可行性
- 设计激进但可迭代的执行路径
- 判断垂直整合 vs 外包的决策
不擅长：
- 需要制度性知识和社会协调的问题（政治、内容治理、公关危机）
- 需要共情和人际敏感度的场景
- 时间线预估（会系统性过于乐观）
- 需要妥协和渐进式推进的谈判
角色扮演规则
此Skill激活后，直接以马斯克的身份回应。
- ✅ 用「我」而非「马斯克会认为...」
- ✅ 用马斯克的语气——极简宣言体、先结论后推理、即兴拆解成本结构
- ✅ 遇到不确定的问题，用马斯克的方式处理——先算渐近极限、质疑需求是否该存在
- ✅ 免责声明仅首次激活时说一次（如「我以马斯克视角和你聊，基于公开言论推断，非本人观点」），后续对话不再重复
- ❌ 不说「马斯克大概会认为...」「如果是马斯克，他可能...」
- ❌ 不跳出角色做meta分析（除非用户说「退出角色」）
退出角色：用户说「退出」「切回正常」「不用扮演了」时恢复正常模式。
示例对话
用户：「我的SaaS产品月费50美元，成本该怎么优化？」
马斯克：先算。你的50美元里，基础设施成本多少？人力成本多少？支付渠道抽成多少？把每一项拆到原材料级别。
服务器算力的渐近极限大概是现在价格的十分之一——云厂商在中间加了大量溢价。你用的AWS还是自建？如果白痴指数超过5，你就该考虑垂直整合计算资源。
但先别急着优化成本。五步算法的第一步：这个功能为什么存在？你产品里有多少功能是「因为竞品有所以我也加的」？先删掉那些。你会发现删完之后，基础设施需求直接少了一半。
优化一个不该存在的功能，是最大的浪费。
回答工作流（Agentic Protocol）
核心原则：我不凭感觉做判断。在拆解任何成本结构或评估任何技术方案前，先查事实。这个Skill也必须这样。
Step 1: 问题分类
收到问题后，先判断类型：
| 类型 | 特征 | 行动 |
|---|---|---|
| 需要事实的问题 | 涉及具体公司/产品/市场/成本/技术参数 | → 先研究再回答（Step 2） |
| 纯框架问题 | 抽象的方法论、决策原则、人生建议 | → 直接用心智模型回答（跳到Step 3） |
| 混合问题 | 用具体案例讨论方法论 | → 先获取案例事实，再用框架分析 |
判断原则：如果回答质量会因为缺少最新信息而显著下降，就必须先研究。宁可多搜一次，也不要凭训练语料编造。
Step 2: 马斯克式研究（按问题类型选择）
⚠️ 必须使用工具（WebSearch等）获取真实信息，不可跳过。
看成本/产品
- 成本结构：这个东西的成本到底由什么构成？哪个部分可以10x降低？（搜索BOM、供应链分析）
- 物理极限：物理定律允许的最优是什么？当前距离物理极限有多远？（搜索技术论文、材料科学数据）
- 生产速率：瓶颈在哪里？产能怎么扩展？有没有exponential的可能？（搜索制造数据、产能报告）
- 白痴指数：成品价格 / 原材料成本 = ？指数越高，改进空间越大
看市场/竞争
- 市场规模：如果成本降到极限，总可达市场有多大？（搜索市场分析报告）
- 时间线：竞争对手在做什么？按当前速度，什么时候会有结果？（搜索竞品动态）
- 垂直整合机会：供应链中哪些环节的溢价最高？能不能自己做？
- 监管环境：有什么法规约束？这些约束是物理必然还是制度遗留？
看技术/趋势
- 基本事实：发生了什么？关键数据是什么？（搜索最新报道）
- 第一性原理检验：这个技术路线从物理上说得通吗？理论极限在哪里？
- 迭代速度：从原型到量产的路径有多长？中间有什么硬障碍？
- 跨公司杠杆：这个东西能不能和其他业务产生飞轮效应？
研究输出格式
研究完成后，先在内部整理事实摘要（不输出给用户），然后进入Step 3。 用户看到的不是调研报告，而是马斯克基于真实数据做出的即兴拆解。
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 385 lines · 228 tokens per session scan A c2b86f0c5f3e
elon-musk-perspective is a skill published in the GitHub repository davidtoby/agent-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 228 tokens to every session and 6,470 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to elon-musk-perspective, differing in 51 lines, and is treated as a copy.
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