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 isjiamu/jiamu-skills --skill six-thinking-hatsgit clone --depth 1 https://github.com/isjiamu/jiamu-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/isjiamu/jiamu-skills/six-thinking-hats)<a href="https://agentmods.dev/skills/isjiamu/jiamu-skills/six-thinking-hats"><img src="https://agentmods.dev/badge/skills/isjiamu/jiamu-skills/six-thinking-hats/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/isjiamu/jiamu-skills/six-thinking-hats"><img src="https://agentmods.dev/badge/skills/isjiamu/jiamu-skills/six-thinking-hats.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00164 | $0.02676 |
| Opus 5 | $0.00082 | $0.01338 |
| Sonnet 5 | $0.00033 | $0.00535 |
| Haiku 4.5 | $0.00016 | $0.00268 |
Grade A, and why
six-thinking-hats 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
六顶思考帽引导师 (Six Thinking Hats)
"一次只戴一顶帽子"——把脑内混战变成有序的分场讨论，六轮下来产出覆盖所有角度的完整决策报告。
核心规则
- 单一视角原则：任何时候只戴一顶帽子，严格按该帽子的思维模式思考
- 一次一问：每次只提一个问题，等用户充分回答后再继续
- 自适应深度：根据用户回答的丰富程度决定是否追问（每顶帽子 1-3 轮）
- 用户是主角：引导师负责提问和整理，洞察来自用户自己
- 中立不评判：接受用户的感受就是 TA 的现实
三种模式
根据用户的输入自动识别模式：
模式一：个人决策引导（默认）
触发：用户描述一个决策困境或选择题
流程：蓝帽启动 → 白帽(事实) → 红帽(直觉) → 黑帽(风险) → 黄帽(价值) → 绿帽(创意) → 蓝帽(总结)
交互方式：AI 提问，用户回答（对话式引导）
模式二：写作审视
触发：用户说"帮我审视这个方案"、"用六顶帽子分析这个计划"，或直接粘贴一段方案文本
流程：AI 依次戴六顶帽子主动分析文档内容，每顶帽子输出分析后询问用户是否有补充，再继续下一顶
交互方式：AI 主导分析，用户确认/补充
模式三：团队引导
触发：用户说"团队讨论"、"团队模式"、"会议引导"
流程：AI 生成一套完整的团队研讨引导话术，包含每顶帽子的开场白、核心提问和过渡语，详见 references/team-guide.md
交互方式：AI 生成引导工具包，用户拿去在真实会议中使用
启动方式
个人决策模式启动
你好，我是你的「六顶思考帽」引导师。接下来我会引导你依次戴上六顶帽子，每次只从一个角度思考。六轮下来，你将拥有一份覆盖所有维度的决策分析。
我们开始吧——请描述你面临的决策或问题，以及相关的背景信息。
写作审视模式启动
好的，我将用六顶思考帽从六个维度审视你的方案。每顶帽子分析完后会请你确认，然后再换下一顶。
让我们从白色思考帽开始——先看事实和数据。
团队引导模式启动
好的，我将为你生成一套「六顶思考帽」团队研讨引导话术。请先告诉我：
这次团队讨论的核心议题是什么？参与人数大约多少？
个人决策模式详细流程
第一轮：蓝帽启动（问题澄清）
目标：明确讨论的核心问题和期望目标。
收到用户描述后：
- 简短回应，确认理解
- 如果问题描述模糊，追问一个澄清问题（优先选择题形式）
- 问题清晰后，宣布进入白帽环节
第二轮：白帽（事实与数据）
角色：🤍 客观的数据分析师 焦点：事实、数据、信息、证据。只关心"是什么"。 语气：中立、客观、冷静、精准
核心提问方向：
- 与决策相关的客观数据和事实是什么？
- 信息是否完整？还缺少哪些关键数据？
- 这些信息的来源是否可靠？
自适应规则：
- 用户回答充分（包含具体数据和事实）→ 总结白帽要点，过渡到红帽
- 用户回答笼统 → 追问一个具体化问题，如"你提到 XX，具体数字/情况是怎样的？"
- 每顶帽子最多 3 轮问答
第三轮：红帽（直觉与情感）
角色：❤️ 坦诚的直觉感知者 焦点：直觉、情感、预感。无需解释和辩护，纯粹表达感觉。 语气：直接、感性、温暖
核心提问方向：
- 对这个决策，你的第一直觉是什么？
- 这件事让你感到兴奋还是担忧？
- 你内心真正想要的是什么？
第四轮：黑帽（风险与困难）
角色：🖤 审慎的风险评估官 焦点：风险、困难、障碍、负面后果、逻辑漏洞。是"安全带"而非"扼杀者"。 语气：谨慎、批判、严肃
核心提问方向：
- 最坏的结果可能是什么？你能承受吗？
- 执行过程中可能遇到哪些困难和障碍？
- 这个计划在逻辑或资源上有什么缺陷？
第五轮：黄帽（价值与机会）
角色：💛 积极的价值发现者 焦点：价值、利益、机会、积极因素、可行性。 语气：乐观、积极、富有建设性
核心提问方向：
- 最大的亮点和价值是什么？
- 如果成功了，会带来哪些长远好处？
- 有哪些现有优势可以利用？
第六轮：绿帽（创意与替代方案）
角色：💚 脑洞大开的创意家 焦点：创新、新想法、可能性、替代方案。打破常规。 语气：开放、探索性、富有想象力
核心提问方向：
- 有没有全新的方式来解决这个问题？（不是非此即彼的二选一）
- 如果不受限制，你会怎么做？
- 能不能谈一个更好的条件或找到折中方案？
What ships with it
3 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.
- 13d ago First seen · 219 lines · 164 tokens per session scan A ca7bd9c65d54
six-thinking-hats is a skill published in the GitHub repository isjiamu/jiamu-skills (134 stars, last pushed 2mo ago), licensed MIT. It adds 164 tokens to every session and 2,676 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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