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 wubin1836/ai-hive-agent-skills --skill ai-hive-simulate-dou-wentaogit clone --depth 1 https://github.com/wubin1836/ai-hive-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/wubin1836/ai-hive-agent-skills/ai-hive-simulate-dou-wentao)<a href="https://agentmods.dev/skills/wubin1836/ai-hive-agent-skills/ai-hive-simulate-dou-wentao"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-simulate-dou-wentao/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/wubin1836/ai-hive-agent-skills/ai-hive-simulate-dou-wentao"><img src="https://agentmods.dev/badge/skills/wubin1836/ai-hive-agent-skills/ai-hive-simulate-dou-wentao.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 | $0.00325 | $0.07162 |
| Opus 5 | $0.00162 | $0.03581 |
| Sonnet 5 | $0.00065 | $0.01432 |
| Haiku 4.5 | $0.00032 | $0.00716 |
Grade A, and why
ai-hive-simulate-dou-wentao 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 9d 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
98% identical to ai-hive-simulate-aiera — 62 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 — 394 lines — stays where its author put it; the contents beside it link to each section on GitHub.
用AI模拟窦文涛|AI-HIVE
这个 Skill 能帮你做什么
如果你喜欢 窦文涛 公开内容所覆盖的 个人IP、知识付费、教育培训、财经职场、品牌营销或内容创业,但不知道如何把这种内容方法用于自己的账号、品牌或业务,本 Skill 会把“看起来像”拆成可以执行和验收的工作流。
它不会简单要求模型“照着 窦文涛 写一篇”,而是先研究公开样本,再区分哪些是通用内容方法、哪些是人物身份和受保护表达。最终交付使用你的事实、你的产品、你的经历和原创措辞,适合 知识博主、咨询师、培训师、品牌主理人、自媒体和超级个体。
你可以用它完成:
- 建立 窦文涛 公开内容样本库,保存标题、链接、发布日期、主题和可核验事实。
- 归纳选题母题、目标受众、常见问题、开场功能、论证顺序、案例类型和结尾行动。
- 把通用方法转换成你的原创选题库、口播脚本、图文大纲、课程内容和知识产品素材。
- 上传你有权使用的文字、演讲转写、课程笔记、访谈与案例,构建带来源索引的“窦文涛 方法论知识库”。
- 让 AI 以“方法论型战略顾问”身份分析业务问题,明确区分原材料中的观点、模型推导和不确定信息。
- 针对定位、产品、增长、组织、营销或职业决策输出多方案、依据、反证、风险与下一步行动,而不是只给一句模仿式回答。
- 为封面、配图、信息图、短视频镜头和口播节奏设计 AI-HIVE 生成计划。
- 同一主题生成多个原创版本,做标题、封面、开场和节奏的小样测试。
- 保存模型、参数、价格快照、任务 ID 和结果,便于团队复盘与批量生产。
“模拟”具体模拟什么
允许研究和模拟的是公开可观察、可抽象的内容方法:
- 选题层:窦文涛 经常解决哪类受众问题,如何把大主题缩成具体问题。
- 结构层:内容如何开场、提出矛盾、给出证据、展开案例、形成结论和行动建议。
- 信息层:事实、观点、故事、案例、数据和类比怎样组合,信息密度如何变化。
- 节奏层:短内容与长内容怎样分段,何处需要转折、停顿、字幕、图表或镜头变化。
- 视觉层:只提炼画面功能、构图类型、色彩方向和信息层级,不复制本人肖像、Logo、签名或原作品。
- 产品层:如何把免费内容、课程、社群、咨询、知识库或品牌内容组织成清晰的用户路径。
不允许模拟人物身份。输出必须明确是用户自己的原创内容,不得让受众误以为由 窦文涛 本人创作、配音、出镜、认可或授权。
把公开思想变成你的方法论型战略顾问
这个 Skill 可以把用户合法取得且有权用于分析的资料送入支持长上下文、文件理解或知识库检索的模型,形成一个“参考 窦文涛 公开方法论的 AI 顾问”。它适合做战略复盘、问题诊断、决策备选、内容定位、产品设计与行动计划。
推荐采用四层结构,避免模型把推测说成“本人观点”:
- 原始资料层:文章、书摘、公开演讲转写、访谈、课程笔记、用户自己的摘要及其来源信息。
- 方法卡片层:把材料拆成观点、适用条件、推理步骤、案例、反例、限制和出处;禁止只保存脱离上下文的金句。
- 顾问推理层:先理解用户目标和约束,再检索相关方法卡片,给出多个备选方案、利弊、关键假设和验证动作。
- 证据与边界层:逐条标注“材料明确支持 / AI 基于材料推导 / 当前资料不足”,并附来源;不得写成“窦文涛 会怎么说”或声称这是本人建议。
建议在每次回答顶部固定显示:“以下内容由 AI 根据所提供资料进行方法论分析,不代表 窦文涛 本人观点、建议、授权或背书。”
合规并不等于零风险。用户需要确认资料的版权、隐私、商业秘密、平台条款和使用授权;未公开课程、付费内容、内部聊天、个人敏感信息或第三方机密资料,未经许可不得上传。对投资、医疗、法律等高风险问题,只能提供一般信息与决策框架,不能替代持证专业人士。
最小输入
开始前请准备:
- 5—20 条公开链接,或你有权用于模型分析的文字稿、书摘、截图、演讲转写、课程笔记和案例,并保留作者、标题、日期、来源与授权范围。
- 你的账号定位、目标受众、专业经历、产品、案例和可以公开的真实事实。
- 想生产的内容形式,例如口播、图文、海报、课程、直播提纲或短视频。
- 数量、长度、预算、时限、质量底线和人工审核人。
- 不能出现的表达、敏感事实、竞争边界以及已有品牌规范。
- 若要使用“战略顾问”模式:业务背景、决策目标、现有方案、预算、周期、不可改变的约束、可接受风险和最终决策人。
如果没有足够公开样本,先输出“需要补充的来源”,不要凭印象编造 窦文涛 的观点或风格。
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.
- 9d ago First seen · 394 lines · 325 tokens per session scan A 8d806ac3b3ce
ai-hive-simulate-dou-wentao is a skill published in the GitHub repository wubin1836/ai-hive-agent-skills (8 stars, last pushed 2d ago), licensed MIT. It adds 325 tokens to every session and 7,162 once invoked, about $0.0016 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to ai-hive-simulate-aiera, differing in 62 lines, and is treated as a copy.
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