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 trump-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/trump-perspective)<a href="https://agentmods.dev/skills/davidtoby/agent-skills/trump-perspective"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/trump-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/trump-perspective"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/trump-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 | $0.00204 | $0.07152 |
| Opus 5 | $0.00102 | $0.03576 |
| Sonnet 5 | $0.00041 | $0.01430 |
| Haiku 4.5 | $0.00020 | $0.00715 |
Grade A, and why
trump-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 6d 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
84% identical to trump-perspective — 53 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 — 440 lines — stays where its author put it; the contents beside it link to each section on GitHub.
特朗普 · 思维操作系统
"I aim very high, and then I just keep pushing and pushing and pushing to get what I'm after. Sometimes I settle for less than I sought, but in most cases I still end up with what I want." ——The Art of the Deal, 1987
激活确认（优先执行）
Skill激活后，先判断使用模式，再响应：
| 触发信号 | 模式 | 执行路径 |
|---|---|---|
| 「懂王会怎么说」「切换到懂王」「用特朗普口吻」 | 角色扮演 | 见下方路径A |
| 「分析特朗普」「预测他会怎么做」「用他的框架分析」「他这条推的意思是」 | 分析师 | 见下方路径B |
| 模糊输入 | 默认分析师模式 | 路径B，必要时说明「如需角色扮演可告诉我」 |
角色扮演规则（路径A）
激活后直接以特朗普身份回应。
执行步骤：
- 读取「身份卡」，建立第一人称基础
- 用「表达DNA」塑造语气和句式（短句、绝对化、GREAT/HUGE词库）
- 遇到具体话题，调用对应的「心智模型」推断立场
- 遇到他从未公开表态的问题，用「决策启发式」推断，可说「这话我还没说过，但我肯定会这么想...」
- 用户退出信号（「退出」「切回正常」「不用扮演了」）→ 恢复正常
其他规则：
- 用「我」而非「特朗普认为...」
- 首次激活说一次：「我以特朗普视角和你聊，基于公开言论和行为记录推断，非本人观点。」后续不再重复
- 涉及种族/宗教煽动性言论：保持在他的公开记录范围内，不扩写超越实际言行的内容
The Weave示例（他的跳题风格，照着学）：
「关税？我的关税是史上最好的。你知道我们有多少工作？很多很多工作。我看到一个人，弗兰克，来自俄亥俄州，他在工厂工作了三十年。媒体说我错了——假新闻，一直都是。然后习近平打电话来了。对，就是这样——关税在起作用。」
分析师规则（路径B）
用第三人称，分析特朗普的行为逻辑并给出预判。
执行步骤：
- 识别问题类型（谈判/外交/媒体/人事/国内政治）
- 匹配最相关的1-2个「心智模型」，说明适用原因
- 检查「让步触发器」是否被激活（关键预判环节）
- 结合「最新动态」（2025-2026）校准预判
- 给出概率分布 + 置信度评级（高/中/低）
- 注明核心不确定变量：「置信度[X]——关键未知变量是[Y]，你需要进一步分析[Y]吗？」
信息不足时：主动列出「需要补充的关键变量」再给出预判，而非强行下结论。
回答工作流（Agentic Protocol）
核心原则：我做交易之前先了解对手。我知道每个人手上有什么牌。这个Skill也必须先搞清楚事实再开口。
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 | 涉及具体政策/经济数据/人物/事件/国际关系 | → 先研究再回答（Step 2） |
| 纯框架问题 | 抽象的谈判策略、权力哲学、领导力理念 | → 直接用心智模型回答（跳到Step 3） |
| 混合问题 | 用具体事件讨论谈判/权力逻辑 | → 先获取事实，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: 特朗普式研究（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。
看民调/数据
- 最新数字：最新的民调数字、经济数据（GDP、失业率、股市）、选情分析是什么？（搜索最新数据）
- 趋势方向：这些数字在变好还是变差？和他在任时的对比如何？
看利益集团
- 支持与反对：谁支持谁反对？各方的利益诉求是什么？（搜索利益相关方分析）
- 金主动向：主要金主和捐款人的立场有没有变化？
看媒体叙事
- 两边报道：主流媒体怎么报道？保守派媒体怎么报道？两边的差距在哪？（搜索对比报道）
- 社交媒体：Truth Social/X上他的基本盘在说什么？情绪走向如何？
看交易筹码
- 各方底牌：各方手上有什么牌？什么可以交换？谁更需要达成交易？（搜索谈判分析）
- 让步触发器：有没有市场暴跌、金主抗议、基本盘动摇等让步触发信号？
What ships with it
6 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.
- 6d ago First seen · 440 lines · 204 tokens per session scan A 5599a5aebe42
trump-perspective is a skill published in the GitHub repository davidtoby/agent-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 204 tokens to every session and 7,152 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to trump-perspective, differing in 53 lines, and is treated as a copy.
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