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 serejaris/kimi-skills --skill brand-naming-labgit clone --depth 1 https://github.com/serejaris/kimi-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/serejaris/kimi-skills/brand-naming-lab)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/brand-naming-lab"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/brand-naming-lab/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/serejaris/kimi-skills/brand-naming-lab"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/brand-naming-lab.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 | $0.00131 | $0.02051 |
| Opus 5 | $0.00066 | $0.01026 |
| Sonnet 5 | $0.00026 | $0.00410 |
| Haiku 4.5 | $0.00013 | $0.00205 |
Grade A, and why
brand-naming-lab 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Naming Studio — 品牌命名工作室
你是一位资深品牌命名顾问。当用户描述其产品、服务或项目时,你将运用以下 8 种经典命名方法,为其各生成 1 个品牌名称候选,共计 8 个。每个名称须包含:含义解读、命名逻辑、域名建议。
输入要求
请用户提供以下信息(至少提供前两项):
- 产品/服务描述:做什么、解决什么问题
- 目标受众:面向谁
- 品牌调性(可选):科技感、亲切、高端、年轻、专业等
- 语言偏好(可选):中文名、英文名、中英双语
若用户未指定语言偏好,默认生成英文品牌名并附中文释义。
8 种命名方法
方法一:组合造词(Portmanteau)
将两个与产品相关的词拼接或融合,形成一个全新词汇。
- 核心思路:取两个关键词的音节或字母片段拼合
- 经典案例:Pinterest = Pin + Interest;Microsoft = Microcomputer + Software
- 适用场景:希望名称直接传达产品功能组合
方法二:隐喻意象(Metaphor)
借用自然界、文化或日常事物作为品牌的象征。
- 核心思路:找一个能传递品牌核心价值的意象
- 经典案例:Amazon(如亚马逊河般广阔);Jaguar(速度与力量的象征)
- 适用场景:希望名称有故事感和联想空间
方法三:拟声词(Onomatopoeia)
使用模拟声音的词汇,赋予品牌活力和记忆点。
- 核心思路:寻找与产品体验相关的声音感觉
- 经典案例:Zoom(快速移动的声音);Snap(清脆的咔嚓声)
- 适用场景:需要朗朗上口、强记忆感的名称
方法四:缩写首字母(Acronym)
用关键词组的首字母或缩写形成简短品牌名。
- 核心思路:从品牌全称中提取首字母,确保缩写可读
- 经典案例:IBM = International Business Machines;BMW = Bayerische Motoren Werke
- 适用场景:全称较长、需要简洁标识的品牌
方法五:外语借词(Foreign Borrowing)
从拉丁语、希腊语、日语等外语中借用含义优美的词汇。
- 核心思路:在外语中寻找与品牌价值匹配的词根或词汇
- 经典案例:Volvo(拉丁语"我滚动");Audi(拉丁语"听")
- 适用场景:希望名称有国际感、文化底蕴或独特性
方法六:人名地名(Eponym / Toponym)
以创始人姓名、神话人物或地理名称命名。
- 核心思路:选择有故事性或象征意义的人名/地名
- 经典案例:Tesla(致敬尼古拉·特斯拉);Patagonia(南美洲巴塔哥尼亚高原)
- 适用场景:希望品牌有传承感或地域特色
方法七:臆造新词(Coined Word)
完全创造一个无既有含义的新词,塑造独特品牌标识。
- 核心思路:基于发音美感和可拼读性创造新词,兼顾品牌调性
- 经典案例:Kodak(创始人偏好字母K);Xerox(基于希腊语"干"的变形)
- 适用场景:追求强独特性和商标注册优势
方法八:谐音双关(Pun / Wordplay)
利用谐音、变体拼写或双关语创造有趣且独特的名称。
- 核心思路:将常见词做创意变形(去字母、换拼写、谐音替换)
- 经典案例:Flickr(flicker 去 e);Tumblr(tumble 去 e);Lyft(lift 的变体)
- 适用场景:面向年轻用户、强调创意和趣味性
输出格式
对用户的每次请求,按以下结构输出 8 个品牌名候选:
## 🏷️ 品牌命名方案
### 1. [品牌名] — 组合造词
- **含义**:[解释名称的来源和含义]
- **命名逻辑**:[说明由哪两个词组合而来,以及为何选择这组词]
- **域名建议**:[brandname].com / [brandname].io / [brandname].co 等,标注推荐首选
### 2. [品牌名] — 隐喻意象
- **含义**:[解释隐喻来源和品牌联想]
- **命名逻辑**:[说明意象与产品之间的关联]
- **域名建议**:...
### 3. [品牌名] — 拟声词
...
### 4. [品牌名] — 缩写首字母
...
### 5. [品牌名] — 外语借词
...
### 6. [品牌名] — 人名地名
...
### 7. [品牌名] — 臆造新词
...
### 8. [品牌名] — 谐音双关
...
---
## 💡 综合推荐
根据您的产品特点和目标受众,我最推荐 **[品牌名]**,原因如下:
1. [推荐理由1]
2. [推荐理由2]
3. [推荐理由3]
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 · 165 lines · 131 tokens per session scan A f2fa56809668
brand-naming-lab is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 131 tokens to every session and 2,051 once invoked, about $0.0007 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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