Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/tianemon/EasyMintnpx agentmods add skills/tianemon/easymint/brand-tokensWrote 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/tianemon/easymint/brand-tokens)<a href="https://agentmods.dev/skills/tianemon/easymint/brand-tokens"><img src="https://agentmods.dev/badge/skills/tianemon/easymint/brand-tokens/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/tianemon/easymint/brand-tokens"><img src="https://agentmods.dev/badge/skills/tianemon/easymint/brand-tokens.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 | $0.00104 | $0.00372 |
| Opus 5.5 | $0.00042 | $0.00149 |
| Sonnet 5.5 | $0.00021 | $0.00074 |
| Haiku 4.5 | $0.00010 | $0.00037 |
Grade A, and why
brand-tokens 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 27d 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.
What it actually says
品牌库
品牌规范按品牌名分目录存放。以下路径相对本 SKILL.md 所在目录(= available_skills 里
本条目 <location> 去掉末尾 /SKILL.md),使用时解析成绝对路径:
./brands.md 品牌清单(品牌名 + 一句话风格描述)
./brands/<品牌>/DESIGN.md 该品牌的完整 token 与视觉语言
怎么用
- 任务已给品牌名 → 直接 Read
<技能目录>/brands/<品牌>/DESIGN.md,一次只读这一个。 - 不知道有哪些品牌 → 先 Read
<技能目录>/brands.md,从清单里挑一个,再按上一步 Read。 - 品牌名不在清单里 → 回退到设计规范里的通用色系,不要编造品牌 token。
不要做
- 不要 ls / find / glob 遍历
brands/挑品牌——几十个品牌,翻起来就是灾难。 - 不要一次读多个品牌的 DESIGN.md 做对比,也不要复制品牌文件进项目。
What ships with it
60 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.
- brands.md 11 KB
- brands/airbnb/DESIGN.md 30 KB
- brands/airbnb/README.md 209 B
- brands/airtable/DESIGN.md 34 KB
- brands/airtable/README.md 213 B
- brands/apple/DESIGN.md 36 KB
- brands/apple/README.md 207 B
- brands/binance/DESIGN.md 39 KB
- brands/binance/README.md 211 B
- brands/bmw-m/DESIGN.md 30 KB
- brands/bmw-m/README.md 207 B
- brands/bmw/DESIGN.md 27 KB
- brands/bmw/README.md 203 B
- brands/bugatti/DESIGN.md 28 KB
- brands/bugatti/README.md 211 B
- brands/cal/DESIGN.md 30 KB
- brands/cal/README.md 203 B
- brands/claude/DESIGN.md 33 KB
- brands/claude/README.md 209 B
- brands/clay/DESIGN.md 25 KB
- brands/clay/README.md 205 B
- brands/clickhouse/DESIGN.md 25 KB
- brands/clickhouse/README.md 217 B
- brands/cohere/DESIGN.md 20 KB
- brands/cohere/README.md 209 B
- brands/coinbase/DESIGN.md 25 KB
- brands/coinbase/README.md 213 B
- brands/composio/DESIGN.md 20 KB
- brands/composio/README.md 213 B
- brands/cursor/DESIGN.md 21 KB
- brands/cursor/README.md 209 B
- brands/dell-1996/DESIGN.md 34 KB
- brands/dell-1996/README.md 217 B
- brands/elevenlabs/DESIGN.md 20 KB
- brands/elevenlabs/README.md 217 B
- brands/expo/DESIGN.md 21 KB
- brands/expo/README.md 205 B
- brands/ferrari/DESIGN.md 24 KB
- brands/ferrari/README.md 211 B
- brands/figma/DESIGN.md 32 KB
- brands/figma/README.md 207 B
- brands/framer/DESIGN.md 28 KB
- brands/framer/README.md 209 B
- brands/hashicorp/DESIGN.md 27 KB
- brands/hashicorp/README.md 215 B
- brands/hp/DESIGN.md 35 KB
- brands/hp/README.md 201 B
- brands/ibm/DESIGN.md 26 KB
- brands/ibm/README.md 203 B
- brands/intercom/DESIGN.md 23 KB
- brands/intercom/README.md 213 B
- brands/kraken/DESIGN.md 4.2 KB
- brands/kraken/README.md 209 B
- brands/lamborghini/DESIGN.md 21 KB
- brands/lamborghini/README.md 219 B
- brands/linear.app/DESIGN.md 24 KB
- brands/linear.app/README.md 213 B
- brands/lovable/DESIGN.md 17 KB
- brands/lovable/README.md 211 B
- brands/mastercard/DESIGN.md 26 KB
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.
- 27d ago First seen · 30 lines · 104 tokens per session scan A 041eec1d684d
brand-tokens is a skill published in the GitHub repository tianemon/EasyMint (79 stars, last pushed 6d ago), licensed MIT. It adds 104 tokens to every session and 372 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-19.
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