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 ChenyCHENYU/wl-skills-design --skill cross-glossarygit clone --depth 1 https://github.com/ChenyCHENYU/wl-skills-designWrote 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/chenychenyu/wl-skills-design/cross-glossary)<a href="https://agentmods.dev/skills/chenychenyu/wl-skills-design/cross-glossary"><img src="https://agentmods.dev/badge/skills/chenychenyu/wl-skills-design/cross-glossary/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/chenychenyu/wl-skills-design/cross-glossary"><img src="https://agentmods.dev/badge/skills/chenychenyu/wl-skills-design/cross-glossary.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 | $0.00087 | $0.00463 |
| Opus 5 | $0.00044 | $0.00231 |
| Sonnet 5 | $0.00017 | $0.00093 |
| Haiku 4.5 | $0.00009 | $0.00046 |
Grade A, and why
cross-glossary 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 11d 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
术语与字段词典
模式
create/maintain：登记经确认的新概念并验证。validate：只读检查词典及各设计产物，不修改任何文件。review：与validate相同，只读给出评审结论，不默认保存报告。repair：得到授权后按差异清单更新词典或引用方。
至少确认业务域或待登记字段。新概念不得因为词典中不存在就被静默删除；先登记、再引用。
执行流程
- 读取唯一规则源：词典标准。
- 按需读取 建立词典、字段与枚举登记 或 词典评审。
- 从 匿名模板 开始；质量对照使用 匿名合成样例。
- 检查一名一义、一义一名、枚举完整和编码唯一。
- 执行 GL-A/B/C/X 共 18 项检查，并比较 spec/DB/API/原型字段集合。
交付约束
- 每条词条记录稳定 ID、标准中英文名、类型、枚举、来源和引用位置。
- 验证报告输出差集和源位置，不得用模糊描述代替。
- 最终说明词条数量、词典外字段、产物路径和 18 项结果。
What ships with it
5 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.
- 11d ago First seen · 30 lines · 87 tokens per session scan A d5b6f2af0d6f
cross-glossary is a skill published in the GitHub repository ChenyCHENYU/wl-skills-design (5 stars, last pushed 27d ago), licensed Apache-2.0. It adds 87 tokens to every session and 463 once invoked, about $0.0004 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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