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 LMDHQ-0420/ResearchPilot-Skills --skill research-g.8-translategit clone --depth 1 https://github.com/LMDHQ-0420/ResearchPilot-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/lmdhq-0420/researchpilot-skills/research-g.8-translate)<a href="https://agentmods.dev/skills/lmdhq-0420/researchpilot-skills/research-g.8-translate"><img src="https://agentmods.dev/badge/skills/lmdhq-0420/researchpilot-skills/research-g.8-translate/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/lmdhq-0420/researchpilot-skills/research-g.8-translate"><img src="https://agentmods.dev/badge/skills/lmdhq-0420/researchpilot-skills/research-g.8-translate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.00954 |
| Opus 5 | $0.00014 | $0.00477 |
| Sonnet 5 | $0.00005 | $0.00191 |
| Haiku 4.5 | $0.00003 | $0.00095 |
Grade A, and why
research[G.8]-translate 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.
What it actually says
阶段 G.8:中→英翻译
仅中文版 skill 包含本阶段。英文版 skill 无此阶段。
命令
/research[G.8]-translate
命令后可跟可选的自然语言指令,AI 会将其作为本次调用的额外约束或补充说明优先处理。
前置条件:G.7 审阅通过,中文手稿基本定稿。
流程
步骤 1:确认是否需要英文版本
当前论文为中文稿,是否需要生成英文 LaTeX 版本?
→ 需要:继续步骤 2
→ 不需要:G 阶段完成
步骤 2:选择 LaTeX 模版
请选择英文版 LaTeX 模版:
① 使用 G.0 中已有的模版(docs/manuscripts/templates/ 下现有文件)
请告知模版文件名
② 上传新模版
请将模版文件放入 docs/manuscripts/templates/ 目录,完成后告知我
步骤 3:初始化英文手稿
- 将选定模版复制为
docs/manuscripts/paper-en.tex(模版原文件不动) - 将中文手稿重命名/复制确认
-zh后缀:- md 格式:
paper.md→ 确认存为paper-zh.md - LaTeX 格式:
paper.tex→ 确认存为paper-zh.tex
- md 格式:
- 中英文共用
docs/manuscripts/references.bib(无需复制)
步骤 4:逐章翻译
按章节顺序翻译,每章完成后展示给用户确认,再进行下一章。
翻译格式规范:
- 每句英文上方一行保留原始中文注释
- LaTeX 格式:
% 局部注意力机制能够有效捕捉短时间窗内的特征变化。
Local attention effectively captures feature variations within short temporal windows.
% 与标准 Transformer 相比,我们的方法将计算复杂度从 O(n²) 降低至 O(nW)。
Compared to standard Transformers, our method reduces computational complexity from $\mathcal{O}(n^2)$ to $\mathcal{O}(nW)$.
- 公式、图表引用编号严格与中文稿保持一致,英文版不重新编号
- 每个 section 开头保留写作思路注释块(翻译为英文):
% === WRITING PLAN: Method ===
% 3.1 Overview: introduce overall pipeline with Fig.1
% 3.2 Local Temporal Attention (LTA): design → motivation → advantage
% ...
翻译约束:
- 术语翻译必须全文一致(建立术语对照表写在文件头注释中)
- 专有名词(数据集名、方法名)保持英文原名,不翻译
- 数字、公式、图表、引用编号严格与中文稿完全一致,英文版不重新编号
步骤 5:版本记录
翻译完成后在 paper-en.tex 文件头追加:
% 修改时间:{mm-dd_hh-mm}
% 修改内容:从中文稿翻译生成英文版
% 对应中文稿:paper-zh.{md/tex}(或 paper-zh_{mm-dd_hh-mm}.{md/tex})
% 上一备份:(首次生成,无备份)
完成提示
G.8 完成。英文版已生成:docs/manuscripts/paper-en.tex
文件说明:
- docs/manuscripts/paper-zh.{md/tex}:中文稿
- docs/manuscripts/paper-en.tex:英文稿
- docs/manuscripts/references.bib:共用参考文献
→ 论文全流程完成。
参考文件
- 模板灵活性规则:
references/template-flexibility.md
What ships with it
3 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 · 114 lines · 27 tokens per session scan A 7db4dc6db4d6
research[G.8]-translate is a skill published in the GitHub repository LMDHQ-0420/ResearchPilot-Skills (284 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 954 once invoked, about $0.0001 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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