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 chestnutzoe/chestnut-copy-skill --skill chestnut-brand-guidancegit clone --depth 1 https://github.com/chestnutzoe/chestnut-copy-skillWrote 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/chestnutzoe/chestnut-copy-skill/chestnut-brand-guidance)<a href="https://agentmods.dev/skills/chestnutzoe/chestnut-copy-skill/chestnut-brand-guidance"><img src="https://agentmods.dev/badge/skills/chestnutzoe/chestnut-copy-skill/chestnut-brand-guidance/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/chestnutzoe/chestnut-copy-skill/chestnut-brand-guidance"><img src="https://agentmods.dev/badge/skills/chestnutzoe/chestnut-copy-skill/chestnut-brand-guidance.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 | $0.00061 | $0.00752 |
| Opus 5 | $0.00030 | $0.00376 |
| Sonnet 5 | $0.00012 | $0.00150 |
| Haiku 4.5 | $0.00006 | $0.00075 |
Grade A, and why
chestnut-brand-guidance 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 yesterday.
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.
What it actually says
品牌表达指南
可独立使用，不预设任何人的配色、生活方式或语气。目标是生成可复用的 brand-guidance.md：让后续 AI 知道怎样更像使用者，而不只是得到“高级、好看”的形容词。
输入与判断
先读用户指定的品牌资料、简介、已发布文案、封面、网站和 Moodboard。参考可以是喜欢的博主封面、相册或拼图，不要求用户逐栏填写。图片可见时实际查看；只有链接或看不清时不要猜色值、字体或构图。
Moodboard 是视觉偏好的证据之一，不是整个指南。文风从真实文字样本提取；不能从喜欢的颜色推断性格、价值观或受众。区分已有规则、从样本归纳的候选、AI 新建议。
发现不一致时，指出具体差异，问用户想保留哪一边。每次只问一个关键选择。没有素材时先索要少量有代表性的参考；只问抽象审美词不能替代看图。
由 AI 整理
根据材料有依据地生成以下部分；缺项标记待选，不编成已确认：
- 想传达的感觉与已有品牌定位：短句说明，连接到用户实际用途。
- 配色：主色、背景、正文、强调色及 HEX，说明使用角色；从截图估算时注明估算。浅色氛围不能牺牲文字可读性。
- 字体与排版：中英文字体角色、标题/正文层级、间距和留白。识别不了字体就给待选建议；字体可下载不等于有商业许可。
- 视觉语言：构图、线条、材质、图片风格、拍摄场景、光线与色调；保留参考来源，不把别人的照片和 logo 当作用户资产。
- 表达方式：依据用户原文归纳读者关系、句子节奏、常见表达、避免的写法；用用户样本说明，不复制作者私人文风。
- 跨载体使用：同一套规则怎样用于网站、社媒封面、视频字幕和 MG。按使用者实际渠道写，不为了齐全增加不存在的渠道。
校准与交付
先展示一小组可判断的示例：一段文案和一种相关视觉应用说明；有生成能力且用户要求预览时再做图。用户不喜欢的地方回到具体规则修改，不只再换几个形容词。
定稿包含已确认规则、可选建议、参考来源以及最后确认日期。读者能直接把整份指南交给自己的 AI 使用，不依赖本 Skill 作者的私有链接。
用户允许保存且环境可写时保存 brand-guidance.md；已有文件先比较，保留原版，避免覆盖。聊天环境无法写文件时输出完整 Markdown 供用户保存，不谎称落盘。默认不发布、不下载付费字体，不上传私人图片。
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.
- yesterday First seen · 36 lines · 61 tokens per session scan A 1122cda7b4a4
chestnut-brand-guidance is a skill published in the GitHub repository chestnutzoe/chestnut-copy-skill (7 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 752 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 2026-09-15.
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