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 YangsonHung/awesome-agent-skills --skill logo-design-board-cngit clone --depth 1 https://github.com/YangsonHung/awesome-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/yangsonhung/awesome-agent-skills/logo-design-board-cn)<a href="https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/logo-design-board-cn"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/logo-design-board-cn/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/yangsonhung/awesome-agent-skills/logo-design-board-cn"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/logo-design-board-cn.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 | $0.00047 | $0.01678 |
| Opus 5 | $0.00023 | $0.00839 |
| Sonnet 5 | $0.00009 | $0.00336 |
| Haiku 4.5 | $0.00005 | $0.00168 |
Grade A, and why
logo-design-board-cn 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Logo 设计委员会
Overview
将品牌简报转化为原创 Logo 方向:先建立品牌策略,再用公开资料蒸馏出的设计师“判断镜片”组成设计委员会,生成概念方向、交叉评审、评分筛选,并输出可用于生图探索和矢量重绘的交付说明。
这里的“设计师蒸馏”只提炼设计判断标准,不扮演本人,不复制设计师作品、客户 Logo 或受保护标识。
何时使用
当用户需要以下任务时使用:
- 设计 Logo、品牌标识、字标、组合标、首字母标、App 图标、favicon 或视觉识别方向。
- 把项目背景、产品定位、创始人想法或品牌材料转成 Logo 概念。
- 用顶级设计师公开方法论来指导 Logo 判断。
- 比较多个 Logo 方向,评审已有草图、AI 生成图或粗糙符号。
- 输出 Logo 生图提示词、矢量重绘说明和品牌规范雏形。
不要使用
以下场景不要把本技能作为主要流程:
- 商标检索、侵权判断、法律意见或最终知识产权审批。
- 复制现有 Logo、设计师风格、品牌系统、吉祥物或受保护角色。
- 海报、插画、落地页、UI 或营销图等 Logo 不是核心任务的泛视觉工作。
- 不经过人工审查、矢量清理、视觉校正和商标检查就交付最终生产文件。
使用说明
完整 Logo 设计任务需要先读取两个参考文件:
references/designer-lens-framework.md:选择或蒸馏设计师判断镜片时使用。references/logo-quality-rubric.md:评分、筛选和推荐最终方向前使用。
简单评审任务可直接使用下面流程;需要量化打分时再读取评分参考。
工作流程
-
建立品牌简报:
- 品牌名或产品名。
- 所属品类和目标用户。
- 一句话核心承诺。
- 品牌性格张力,例如“精密但温暖”“高级但亲近”“好玩但可信”。
- 竞品和品类常见视觉符号。
- 必须适配的场景:App 图标、favicon、网站页眉、社交头像、包装、周边、印刷、招牌或动效。
- 限制条件:必须出现的文字、首字母、禁用符号、颜色限制、文化禁忌、无障碍要求。
-
保守补全缺口:
- 缺失信息会显著改变设计方向时,最多追问 3 个关键问题。
- 用户要求快速推进时,直接给出明确假设并继续。
- 简报已经足够时,不要把任务变成问卷调查。
-
组建设计委员会:
- 默认委员会:
- Paul Rand 镜片:概念先行、极简可记、幽默但不杂乱。
- Massimo Vignelli 镜片:纪律、网格、克制、长期主义和字体秩序。
- Paula Scher 镜片:表达性字体、文化能量、尺度感、态度和品类存在感。
- 只在有必要时增加一个补充镜片:
- Saul Bass:叙事符号、适合动效的剪影、电影感归纳。
- Michael Bierut:客户语境、落地系统和真实使用生态。
- 始终标注这是“公开方法论镜片”,不要声称代表设计师本人发言。
- 默认委员会:
-
蒸馏或适配镜片:
- 优先使用用户提供的一手材料:书籍、访谈、作品集、演讲、案例解析、笔记或截图。
- 用户指定某位在世或仍活跃的设计师且准确性重要时,先检索当前公开资料再蒸馏。
- 提炼设计原则、反复出现的判断、反模式和关键追问,不只提炼表面风格。
- 只能产生视觉外壳、不能产生设计判断的镜片要丢弃。
-
定义 Logo 策略:
- 说明 Logo 要完成的任务:传达什么、在哪里工作、必须避免什么。
- 识别需要借用的品类符号,以及需要打破的品类惯性。
- 把“现代、高级、科技感”等模糊词转成可设计的张力。
- 判断最适合走字标、首字母标、具象符号、抽象标、吉祥物化图标还是可变识别系统。
-
生成概念方向:
- 输出 3 到 5 个方向,不只给一个泛化 Logo。
- 每个方向包含:
- 方向名称。
- 策略论点。
- 标识类型。
- 图形构成说明。
- 字体方向。
- 色彩方向和单色表现。
- 哪些设计师镜片支持它,哪些镜片会质疑它。
- 用于粗探索的生图提示词。
- 用于矢量重绘的构造说明。
- 主要风险和验证方式。
- 提示词必须要求原创标识、扁平/矢量友好、简单几何、边缘干净,并避免模仿现有 Logo。
-
像设计委员会一样评审:
- 用表格让每个镜片分别评价每个概念。
- 把优点、风险和必须修改的地方分开写。
- 淘汰小尺寸不可识别、单色不可用或品类区分度不足的方向。
- 用户需要推荐结论时,读取评分参考并给候选方向打分。
What ships with it
2 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.
- 12d ago First seen · 134 lines · 47 tokens per session scan A 6c18e9edab6b
logo-design-board-cn is a skill published in the GitHub repository YangsonHung/awesome-agent-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 1,678 once invoked, about $0.0002 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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