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 HenryLiu0405/njupt-thesis-skill --skill njupt-thesisgit clone --depth 1 https://github.com/HenryLiu0405/njupt-thesis-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/henryliu0405/njupt-thesis-skill/njupt-thesis)<a href="https://agentmods.dev/skills/henryliu0405/njupt-thesis-skill/njupt-thesis"><img src="https://agentmods.dev/badge/skills/henryliu0405/njupt-thesis-skill/njupt-thesis/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/henryliu0405/njupt-thesis-skill/njupt-thesis"><img src="https://agentmods.dev/badge/skills/henryliu0405/njupt-thesis-skill/njupt-thesis.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 | $0.00388 | $0.02896 |
| Opus 5 | $0.00194 | $0.01448 |
| Sonnet 5 | $0.00078 | $0.00579 |
| Haiku 4.5 | $0.00039 | $0.00290 |
Grade A, and why
njupt-thesis 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
南邮毕业设计(论文)全流程助手
本技能由一位学长的完整毕设项目沉淀而来,覆盖从立题到答辩归档的全部环节。他的课题是理工科方向(英文论文 + 仿真 → 中文毕业论文),但本技能的流程、格式与工作方法对南邮各专业通用;涉及具体学科的地方会注明"以你的源材料为准"。
第零步:定位阶段,索要源材料
毕设是一个 5 个月的长流程。接到任何请求,先弄清两件事:
1. 学生处在哪个阶段? 据此决定读哪份参考文件:
| 阶段 | 大致时间 | 产出物 | 详细指引 |
|---|---|---|---|
| 立题与任务书 | 12 月下旬 | 立题审批表、任务书 | references/materials-checklist.md |
| 开题 | 1 月 | 开题报告 | 同上 |
| 外文翻译 | 寒假~3 月 | 翻译封面+译文+原文 | 同上 |
| 中期检查 | 3 月底 | 中期检查表 | 同上 |
| 论文撰写 | 2~4 月 | 论文初稿(逐章) | references/format-spec.md + references/writing-workflows.md |
| 定稿与检测 | 5 月初 | 查重报告、AIGC 检测报告、批注修改 | references/writing-workflows.md |
| 答辩 | 5 月中下旬 | 答辩资格审查表、PPT、讲稿、指导记录 | references/defense.md + references/materials-checklist.md |
2. 源材料在哪? 在写任何内容之前,向学生索要(或确认已上传):
- 学校/学院当年下发的官方模板和通知(格式细节每年可能微调,官方模板永远优先于本技能记录的规格);
- 学生自己的一手研究材料:英文论文 PDF、实验/仿真代码、原始数据、实际生成的图;
- 需要修改的官方表格原件(任务书、指导记录等),用于保留官方表头格式。
三条铁律(全流程任何任务都适用)
铁律一:先读后写,绝不编造。 写论文内容前,必须先打开并读完对应的源材料——英文原文 PDF 的对应小节、MATLAB/Python 代码的实际输出、仿真图的真实曲线。公式要逐项对照英文原文转写,不能凭印象默写;图表描述要对照真实图片(曲线走势、坐标轴、图例、数值)来写,不能编造"性能提升了 X%"这类源材料里没有的结论。如果某条公式或数据无法核对,在交付文档中用灰色斜体注释显式标出"此处请对照原稿核对",而不是悄悄给一个看起来合理的版本。这条铁律存在的原因:毕设论文要经过导师审阅、查重、答辩三道关,任何一处编造都会在某一关暴露,且学生自己往往发现不了。
铁律二:增量交付,先定风格。 不要一次性生成整本论文。先交付一章(或一节),让学生确认语言风格、格式、公式处理方式都符合预期后,再按同样规格批量推进。每章交付时给出清晰的"论文小节 ↔ 英文原文小节 ↔ 代码文件"对应关系,方便学生核对。
铁律三:完成必核,渲染检查。 每生成或修改一个 docx,都要:① 用 docx 技能的 validate.py 校验;② 用 soffice.py 转 PDF、pdftoppm 渲染成图片,亲眼逐页查看版式(页眉页码、标题层级、公式段落、表格边框)是否正确,再交付。文字层面"看起来对"和渲染出来"真的对"经常不一致。
论文撰写(最高频任务)
论文结构(固定顺序)
封面 → 毕业设计(论文)原创性声明 → 中文摘要+关键词 → 英文 ABSTRACT+Key words → 目录 → 正文各章(理工科典型:概述/系统模型/问题建模/算法设计/仿真分析/结论,共 5~6 章) → 结束语(个人学习感悟,与"结论"章的技术总结不同) → 致谢 → 参考文献(→ 附录,可选)。
前置部分(声明~目录)无页眉无页码;正文起每页页眉"南京邮电大学 20XX 届本科毕业设计(论文)"(宋体五号居中,下加细横线),页脚页码"- N -"居中,从第一章第 1 页起算。
核心格式速查(完整规格见 references/format-spec.md)
- 正文:中文宋体小四(12pt)、西文/数字 Times New Roman,两端对齐,首行缩进 2 字符,1.5 倍行距(本届实测固定值 24 磅与官方模板视觉一致,以学院模板为准);
- 章标题"第X章 标题"黑体三号居中;二级标题黑体四号左对齐;三级标题黑体小四左对齐;
- 公式:居中,编号"式(章-序)"右对齐;
- 图:居中,图题在图下方居中,"图5.1 系统性能收敛曲线"格式;表:表题在表上方居中,"表5.1 仿真主要参数汇总";
- 参考文献:GB/T 7714-2015,作者姓全大写、名缩写,[J]/[C]/[D] 标识,总数通常要求 30 篇左右(以导师要求为准)。
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.
- 12d ago First seen · 91 lines · 388 tokens per session scan A b06c9af206f2
njupt-thesis is a skill published in the GitHub repository HenryLiu0405/njupt-thesis-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 388 tokens to every session and 2,896 once invoked, about $0.0019 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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