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 Amalia6767/curator-skills --skill exhibition-theme-brainstormgit clone --depth 1 https://github.com/Amalia6767/curator-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/amalia6767/curator-skills/exhibition-theme-brainstorm)<a href="https://agentmods.dev/skills/amalia6767/curator-skills/exhibition-theme-brainstorm"><img src="https://agentmods.dev/badge/skills/amalia6767/curator-skills/exhibition-theme-brainstorm/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/amalia6767/curator-skills/exhibition-theme-brainstorm"><img src="https://agentmods.dev/badge/skills/amalia6767/curator-skills/exhibition-theme-brainstorm.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 | $0.00055 | $0.02726 |
| Opus 5 | $0.00028 | $0.01363 |
| Sonnet 5 | $0.00011 | $0.00545 |
| Haiku 4.5 | $0.00006 | $0.00273 |
Grade A, and why
exhibition-theme-brainstorm 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 12d 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 — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.
展陈主题头脑风暴
目标
系统化推导展陈主题,确保主题:
- 有哲学深度:从宏观理念出发,有文化底蕴
- 有企业特色:紧密结合企业/机构的核心特点
- 有视觉表达:可转化为设计元素和空间命名
- 有价值传递:清晰的价值传递路径
输入
必需信息
-
企业/机构基本信息
- 企业名称、行业、核心业务
- 使命愿景、核心价值观
- 创始人/领导人理念(如有)
-
项目背景
- 展厅定位、目标受众
- 空间特征、面积限制
- 核心展示内容
可选信息(强烈推荐)
- 企业文化、发展历程
- 核心产品/服务
- 行业地位、差异化优势
- 目标受众画像
主题推导框架:九层递进法
第一层:宏观理念(哲学基础)
目标:找到可以支撑主题的哲学思想或文化理念
方法:
- 从中国传统文化中寻找(如:道生一、一生二、二生三、三生万物)
- 从西方哲学中寻找(如:存在主义、实用主义)
- 从行业经典理论中寻找(如:动态能力理论)
- 从自然现象中寻找(如:棱镜、光谱、液态)
输出示例:
宏观理念:《老子·道德经》第四十二章
- 道生一:从无到有
- 一生二:一分为二,即阴阳
- 二生三:阴阳相冲,而后阴盛阳弱,或阴弱阳盛,或阴阳中和
- 三生万物:或阴、或阳、或和,三种趋势相互转化孕育万物
第二层:企业特点(核心逻辑)
目标:提炼企业/机构的核心业务逻辑和特点
方法:
- 分析业务模式(如:需-供、角色-场景-智能)
- 分析核心能力(如:万物互联、数智化)
- 分析组织特点(如:网络型组织、网络型业务)
输出示例:
企业特点:
- 需-供:从用户需求出发
- 角色-场景-智能:三大核心要素
- 万物互联:能量全价值链开发利用
第三层:创始人/领导人理念
目标:融入创始人或领导人的核心思想
方法:
- 提取核心理念(如:以人为本、无为而治)
- 提取价值主张(如:源自客户、成就彼此、共创生态)
输出示例:
创始人理念:
- 以人为本,无为而治
- 企业之道:源自客户、成就彼此、共创生态
第四层:使命愿景
目标:将使命愿景转化为主题表达
方法:
- 提取关键词(如:创建现代能源体系、提高人民生活品质)
- 转化为价值主张(如:数智能源、开启美好生活)
输出示例:
使命愿景:
- 创建现代能源体系,提高人民生活品质
- 成为一家受人尊敬的创新型智慧企业
→ 转化为:数智能源 开启美好生活
第五层:核心价值观
目标:将价值观融入主题表达
方法:
- 列出核心价值观(如:执守良知、崇尚自驱、利他共生、成在数智)
- 提取核心关键词
输出示例:
核心价值观:
- 执守良知、崇尚自驱、利他共生、成在数智
→ 核心关键词:良知、自驱、共生、数智
第六层:价值传递路径
目标:定义从企业到用户的价值传递逻辑
方法:
- 企业视角:传递价值 → 体验价值 → 感知价值 → 利用价值 → 重构价值 → 创造价值
- 用户视角:发现需求 → 解决问题 → 用户反馈
输出示例:
价值传递路径:
企业视角:传递价值 → 体验价值 → 感知价值 → 利用价值 → 重构价值 → 创造价值
用户视角:发现需求 → 解决问题 → 用户反馈
第七层:空间命名
目标:将主题转化为空间命名
方法:
- 从主题中提取关键词
- 形成对仗或呼应的空间名称
- 确保名称有寓意且易理解
输出示例:
空间命名:
- 无界厅(发现需求)→ 无限厅(解决问题)
- 从"无界"到"无限",体现价值创造的无限可能
第八层:展陈主题(最终输出)
目标:形成完整的主题表达
方法:
- 组合关键词形成主题
- 确保主题简洁有力、朗朗上口
- 可包含副标题补充说明
输出示例:
展陈主题:
无界体验 无限价值
——数智能源 开启美好生活
核心解读:
- 无界体验:打破边界,发现需求
- 无限价值:解决问题,创造价值
- 数智能源:企业定位
- 开启美好生活:价值目标
第九层:设计元素提取
目标:将主题转化为可视觉化的设计元素
方法:
- 从主题中提取视觉符号(如:网络、对称、圆环)
- 从理念中提取视觉隐喻(如:棱镜、光谱、液态)
- 确保元素有文化内涵和视觉美感
What ships with it
1 file 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.
- 12d ago First seen · 324 lines · 55 tokens per session scan A 10737ab4bdb3
exhibition-theme-brainstorm is a skill published in the GitHub repository Amalia6767/curator-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 2,726 once invoked, about $0.0003 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 2026-08-31.
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