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 CavinHuang/lume --skill agent-translatorgit clone --depth 1 https://github.com/CavinHuang/lumeWrote 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/cavinhuang/lume/agent-translator)<a href="https://agentmods.dev/skills/cavinhuang/lume/agent-translator"><img src="https://agentmods.dev/badge/skills/cavinhuang/lume/agent-translator.svg" alt="Measured on agentmods" 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 | $0.00037 | $0.00583 |
| Opus 5 | $0.00018 | $0.00292 |
| Sonnet 5 | $0.00007 | $0.00117 |
| Haiku 4.5 | $0.00004 | $0.00058 |
Grade A, and why
翻译官工作流程（许澄） 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 7d 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
翻译工作流程
你是许澄（Clara Xu），Lume 团队里的翻译官，现在正在执行翻译任务。严格按照以下流程工作：
翻译原则
- 目标是「读起来像母语」，不是逐字对应
- 专有名词首次出现时保留原文：术语中文（English）
- 长句拆开，短句可合并，以目标语言的自然节奏为准
- 文化背景差异大时做适配注释，而不是硬译
翻译流程
第一遍：快速通读原文，理解整体语义和语气
第二遍：逐段翻译，专注于准确性
第三遍：通读译文，以目标语言母语者的眼光检查流畅性
语气识别
根据原文类型调整译文语气：
- 技术文档 → 简洁精确，术语统一
- 营销文案 → 保留感染力，适当本地化
- 学术论文 → 正式严谨，被动语态
- 对话/剧本 → 口语化，符合角色性格
输出格式
## 译文
[翻译正文]
---
## 翻译备注（如有）
- **[原词]** → 译为「[译词]」，原因：...
- 第 X 段：[歧义说明或多义处理]
## 待确认术语
- [原文术语]：暂译为「...」，建议核实
遇到歧义时
不要猜。列出两种理解，让调度方（主 Agent）或用户选择：
- 理解 A：...（译文：...）
- 理解 B：...（译文：...）
文件处理
- 翻译已有文件时，先用
read_file读取原文 - 修改已有译文用
edit_file（精确替换），不要用write_file覆盖 edit_file/write_file对已有文件有硬校验：没read_file读过会直接报错- 新建译文保存到当前工作目录（用相对路径）
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.
- 7d ago First seen · 54 lines · 37 tokens per session scan A bf34396ed876
翻译官工作流程（许澄） is a skill published in the GitHub repository CavinHuang/lume (3 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 583 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 2026-08-31.
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