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 Bwkyd/wps-skills --skill wps-thesisgit clone --depth 1 https://github.com/Bwkyd/wps-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/bwkyd/wps-skills/wps-thesis)<a href="https://agentmods.dev/skills/bwkyd/wps-skills/wps-thesis"><img src="https://agentmods.dev/badge/skills/bwkyd/wps-skills/wps-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/bwkyd/wps-skills/wps-thesis"><img src="https://agentmods.dev/badge/skills/bwkyd/wps-skills/wps-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 | $0.00073 | $0.03242 |
| Opus 5 | $0.00036 | $0.01621 |
| Sonnet 5 | $0.00015 | $0.00648 |
| Haiku 4.5 | $0.00007 | $0.00324 |
Grade A, and why
wps-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 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.
How it starts
The opening of the file, as written. The whole thing — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.
论文排版工具
按高校标准自动排版毕业论文 / 学术论文（.docx）。
每个大学生的论文排版噩梦，到此为止。
When to Use
- 毕业论文排版（本科/硕士/博士）
- 学术论文/期刊论文格式化
- 论文模板生成
- 已有论文内容需要重新排版
When NOT to Use
- 一般工作报告 → 使用
wps-report-writer - 公文排版 → 使用
wps-gongwen - 只需要校对内容 → 使用
wps-proofread
论文通用格式标准
页面设置
纸张：A4 (210mm × 297mm)
上边距：30mm
下边距：25mm
左边距：30mm（装订侧加宽）
右边距：20mm
页眉：15mm，含学校名/论文标题
页脚：页码居中，小五号
字体字号规范
| 元素 | 字体 | 字号 | 说明 |
|---|---|---|---|
| 论文题目 | 黑体 | 小二号(18pt) | 居中，加粗 |
| 章标题（第X章） | 黑体 | 三号(16pt) | 居中，加粗 |
| 节标题（X.X） | 黑体 | 四号(14pt) | 左对齐，加粗 |
| 小节标题（X.X.X） | 黑体 | 小四号(12pt) | 左对齐，加粗 |
| 正文 | 宋体 | 小四号(12pt) | 首行缩进2字符 |
| 摘要标题 | 黑体 | 三号(16pt) | 居中 |
| 摘要内容 | 宋体 | 小四号(12pt) | |
| 关键词 | 黑体+宋体 | 小四号(12pt) | "关键词："黑体，内容宋体 |
| 参考文献 | 宋体 | 五号(10.5pt) | |
| 页眉 | 宋体 | 小五号(9pt) | |
| 页码 | Times New Roman | 小五号(9pt) |
行距
正文：1.5倍行距
摘要：1.5倍行距
参考文献：单倍行距
图表标题：单倍行距
工作流程
Step 1: 确认论文信息
必填信息：
- 论文题目（中文 + 英文）
- 作者姓名
- 学校/院系
- 专业
- 指导教师
- 日期
- 学位类型：本科/硕士/博士
可选信息：
- 学号
- 分类号
- 密级
- UDC
Step 2: 论文结构
标准毕业论文结构：
[封面]
[独创性声明]
[中文摘要 + 关键词]
[英文摘要 + Keywords]
[目录]
──────────────────
第一章 绪论
1.1 研究背景
1.2 研究现状
1.3 研究内容与方法
1.4 论文结构
第二章 相关理论与技术
2.1 ...
第三章 系统设计 / 方法论
3.1 ...
第四章 实验与分析
4.1 ...
第五章 总结与展望
5.1 主要工作总结
5.2 不足与展望
──────────────────
[参考文献]
[致谢]
[附录]（可选）
[个人简历/发表论文]（硕博）
Step 3: 生成 .docx 文件
pip install python-docx 2>/dev/null || pip3 install python-docx 2>/dev/null
核心生成逻辑：
from docx import Document
from docx.shared import Pt, Mm, Cm, RGBColor
from docx.enum.text import WD_ALIGN_PARAGRAPH
from docx.enum.section import WD_ORIENT
from docx.oxml.ns import qn, nsdecls
from docx.oxml import parse_xml, OxmlElement
import os
def create_thesis(info, content=None, output_path=None):
"""
info = {
'title_cn': '基于深度学习的图像识别系统研究',
'title_en': 'Research on Image Recognition System Based on Deep Learning',
'author': '张三',
'school': 'XX大学',
'department': '计算机科学与技术学院',
'major': '计算机科学与技术',
'advisor': '李四 教授',
'degree': '硕士', # 本科/硕士/博士
'student_id': '2023XXXX',
'date': '2026年6月',
}
"""
doc = Document()
# 页面设置
section = doc.sections[0]
section.page_width = Mm(210)
section.page_height = Mm(297)
section.top_margin = Mm(30)
section.bottom_margin = Mm(25)
section.left_margin = Mm(30)
section.right_margin = Mm(20)
def set_font(run, name='宋体', size=12, bold=False, color=None):
run.font.size = Pt(size)
run.font.name = name
run._element.rPr.rFonts.set(qn('w:eastAsia'), name)
run.bold = bold
if color:
run.font.color.rgb = color
def add_heading_cn(text, font_name='黑体', size=16, bold=True,
align=WD_ALIGN_PARAGRAPH.CENTER):
p = doc.add_paragraph()
p.alignment = align
p.paragraph_format.space_before = Pt(24)
p.paragraph_format.space_after = Pt(18)
p.paragraph_format.line_spacing = Pt(28)
run = p.add_run(text)
set_font(run, font_name, size, bold)
return p
def add_body(text, indent=True):
p = doc.add_paragraph()
p.paragraph_format.line_spacing = Pt(22)
if indent:
p.paragraph_format.first_line_indent = Pt(24)
run = p.add_run(text)
set_font(run, '宋体', 12)
return p
# === 封面 ===
for _ in range(3):
doc.add_paragraph()
# 学校名
p = doc.add_paragraph()
p.alignment = WD_ALIGN_PARAGRAPH.CENTER
run = p.add_run(info['school'])
set_font(run, '华文中宋', 26, True)
# 学位类型
p = doc.add_paragraph()
p.alignment = WD_ALIGN_PARAGRAPH.CENTER
p.paragraph_format.space_before = Pt(10)
degree_text = {'本科': '本科毕业论文', '硕士': '硕士学位论文',
'博士': '博士学位论文'}.get(info['degree'], '学位论文')
run = p.add_run(degree_text)
set_font(run, '华文中宋', 22)
doc.add_paragraph()
# 论文题目
p = doc.add_paragraph()
p.alignment = WD_ALIGN_PARAGRAPH.CENTER
p.paragraph_format.space_before = Pt(30)
run = p.add_run(info['title_cn'])
set_font(run, '黑体', 18, True)
doc.add_paragraph()
# 信息表
fields = [
('作 者', info['author']),
('学 号', info.get('student_id', '')),
('院 系', info.get('department', '')),
('专 业', info['major']),
('指导教师', info['advisor']),
('完成日期', info['date']),
]
for label, value in fields:
if value:
p = doc.add_paragraph()
p.alignment = WD_ALIGN_PARAGRAPH.CENTER
run1 = p.add_run(f'{label}：')
set_font(run1, '宋体', 14)
run2 = p.add_run(value)
set_font(run2, '宋体', 14)
doc.add_page_break()
# === 中文摘要 ===
add_heading_cn('摘 要', '黑体', 16)
add_body('（在此输入中文摘要内容，一般300-500字）')
doc.add_paragraph()
p = doc.add_paragraph()
run = p.add_run('关键词：')
set_font(run, '黑体', 12, True)
run2 = p.add_run('关键词1；关键词2；关键词3')
set_font(run2, '宋体', 12)
doc.add_page_break()
# === 英文摘要 ===
add_heading_cn('Abstract', 'Times New Roman', 16)
add_body('(Type your English abstract here, typically 200-300 words)')
doc.add_paragraph()
p = doc.add_paragraph()
run = p.add_run('Keywords: ')
run.font.size = Pt(12)
run.font.name = 'Times New Roman'
run.bold = True
run2 = p.add_run('keyword1; keyword2; keyword3')
run2.font.size = Pt(12)
run2.font.name = 'Times New Roman'
doc.add_page_break()
# === 目录占位 ===
add_heading_cn('目 录', '黑体', 16)
add_body('（请在WPS中插入 → 引用 → 目录 → 自动目录）', False)
doc.add_page_break()
# === 正文章节框架 ===
chapters = [
('第一章 绪论', ['1.1 研究背景', '1.2 国内外研究现状',
'1.3 研究内容与方法', '1.4 论文结构安排']),
('第二章 相关理论与技术', ['2.1 （根据论文主题填写）']),
('第三章 （核心内容章节）', ['3.1 （根据论文主题填写）']),
('第四章 实验与结果分析', ['4.1 实验环境', '4.2 实验设计',
'4.3 结果与分析']),
('第五章 总结与展望', ['5.1 主要工作总结', '5.2 不足与展望']),
]
for chapter_title, sections in chapters:
add_heading_cn(chapter_title, '黑体', 16)
for sec in sections:
p = doc.add_paragraph()
p.paragraph_format.space_before = Pt(12)
run = p.add_run(sec)
set_font(run, '黑体', 14, True)
add_body('（在此输入内容）')
doc.add_page_break()
# === 参考文献 ===
add_heading_cn('参考文献', '黑体', 16)
refs = [
'[1] 作者. 论文题目[J]. 期刊名, 年, 卷(期): 起止页.',
'[2] 作者. 书名[M]. 出版地: 出版社, 年.',
'[3] Author. Title[J]. Journal, Year, Vol(No): Pages.',
]
for ref in refs:
p = doc.add_paragraph()
run = p.add_run(ref)
set_font(run, '宋体', 10.5)
doc.add_page_break()
# === 致谢 ===
add_heading_cn('致 谢', '黑体', 16)
add_body('（在此输入致谢内容）')
# 保存
if not output_path:
output_path = f"{info['title_cn'][:20]}_论文.docx"
doc.save(output_path)
return os.path.abspath(output_path)
What ships with it
1 file 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 · 362 lines · 73 tokens per session scan A 3ee767b51a6e
wps-thesis is a skill published in the GitHub repository Bwkyd/wps-skills (7 stars, last pushed 4mo ago), licensed MIT. It adds 73 tokens to every session and 3,242 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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