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 zuoliangyu/LaTeX-Thesis-Writing --skill bishe-guidergit clone --depth 1 https://github.com/zuoliangyu/LaTeX-Thesis-WritingWrote 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/zuoliangyu/latex-thesis-writing/bishe-guider)<a href="https://agentmods.dev/skills/zuoliangyu/latex-thesis-writing/bishe-guider"><img src="https://agentmods.dev/badge/skills/zuoliangyu/latex-thesis-writing/bishe-guider/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/zuoliangyu/latex-thesis-writing/bishe-guider"><img src="https://agentmods.dev/badge/skills/zuoliangyu/latex-thesis-writing/bishe-guider.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 | $0.00193 | $0.03220 |
| Opus 5 | $0.00097 | $0.01610 |
| Sonnet 5 | $0.00039 | $0.00644 |
| Haiku 4.5 | $0.00019 | $0.00322 |
Grade A, and why
bishe-guider 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 13d 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 — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bishe Guider: 毕业论文写作指导
概述
本 Skill 提供中文学术毕业论文从撰写到定稿的全流程指导,包含 4 大规则模块。每个规则对应一个独立文件夹,内含详细的参考文档和工具脚本。
适用对象: 本科、硕士、博士学位论文(以中文学术论文为主)
核心目标:
- 消除 AI 写作痕迹,使论文行文自然严谨
- 确保论文符合学校评审标准与盲审要求
- 规范实验描述、图表排版、引用格式
- 在定稿前执行系统性复盘检查
规则模块
| 规则编号 | 规则名称 | 路径 | 核心功能 |
|---|---|---|---|
| 规则 0 | 项目初始化 | rule-05-project-init/reference.md |
构建标准化的毕业论文项目目录结构 |
| 规则 1 | 像个人类一样写作 | rule-01-humanizer/reference.md |
检测并去除 AI 写作痕迹,注入学术语体的人味 |
| 规则 2 | 查阅参考文献 | rule-02-reference-search/reference.md |
Google Scholar 检索、筛选、引用、管理文献 |
| 规则 3 | 毕业论文写作要点 | rule-03-thesis-writing/reference.md |
论文结构、实验规范、排版语法、用词规范 |
| 规则 4 | 复盘检查 | rule-04-review-check/reference.md |
结构、逻辑、盲审、图表一致性等终稿检查 |
使用方式
根据当前任务阶段,加载对应的规则参考文档:
- 项目未初始化 → 优先加载规则 0,构建标准项目结构
- 撰写/润色阶段 → 加载规则 1 + 规则 3
- 文献调研阶段 → 加载规则 2
- 修改/审查阶段 → 加载规则 1 + 规则 3 + 规则 4
- 定稿前 → 加载全部 4 个规则,按规则 4 的复盘流程执行
核心工作流
工作流 A:项目启动(如未初始化)
1. 检测当前目录是否已存在标准项目结构(检查 src/、references/ 等核心目录)
2. 如未初始化,加载规则 0(项目初始化)
3. 询问用户项目名称和论文题目
4. 执行 init_project.sh 生成完整目录结构
5. 在 src/ 中生成 LaTeX 模板骨架
6. 以表格形式输出初始化结果
工作流 B:章节撰写
1. 用户提交待撰写的章节主题和大纲
2. 加载规则 3(毕业论文写作要点),确认该章节的结构规范
3. 协助用户撰写内容
4. 加载规则 1(像人类一样写作),润色文本去除 AI 痕迹
5. 以表格形式输出审查结果
工作流 C:文献检索与引用
1. 用户提出文献检索需求(主题、时间范围等)
2. 加载规则 2(查阅参考文献)
3. 使用 gs-search / gs-advanced-search 检索文献
4. 按筛选标准评估结果
5. 导出到 Zotero 或生成 BibTeX,存入 references/from-scholar/
6. 以表格形式输出检索与评估结果
工作流 D:全面复盘检查
1. 用户提交论文全文或指定章节
2. 加载规则 4(复盘检查)
3. 按检查清单逐项执行:
- 结构检查(四级标题、章节逻辑一致性)
- 用词检查(夸张词汇、人称、缩写)
- 盲审合规性(匿名性、无个人信息)
- 图表检查(编号、caption、颜色一致性)
- 排版检查(公式标点、表格对齐、首行缩进)
- 逻辑检查(创新点一致性、引用完整性)
4. 运行 check_figure_colors.py 检查图片颜色分布
5. 以表格形式输出全部检查结果
输出格式要求(强制)
所有形式的错误、有效或警告汇报,最终都必须以表格形式返回。
审查结果表格模板
| 检查项 | 位置/上下文 | 严重级别 | 问题描述 | 修改建议 | 状态 |
|---|---|---|---|---|---|
| 夸张词汇 | 第 1 章第 3 段 | 错误 | 出现"首次提出" | 改为"提出了一种" | 待修改 |
| 人称使用 | 第 2 章第 5 段 | 错误 | 出现"我们认为" | 改为"本文认为" | 待修改 |
| 图表大小 | 图 4-1 | 警告 | 图中文字偏小 | 调整字号至 ≥8pt | 待修改 |
| 公式标点 | 式 (3.2) | 错误 | 公式后缺少标点 | 添加逗号 | 待修改 |
| 颜色一致性 | 图 5-2 | 警告 | 与整体画风差异较大 | 调整配色方案 | 待修改 |
What ships with it
9 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.
- rule-01-humanizer/reference.md 8.4 KB
- rule-02-reference-search/reference.md 4.8 KB
- rule-03-thesis-writing/reference.md 9.4 KB
- rule-04-review-check/reference.md 6.4 KB
- rule-04-review-check/scripts/check_figure_colors.py 13 KB runs code
- rule-05-project-init/reference.md 8.5 KB
- rule-05-project-init/scripts/compile_tikz_to_png.sh 2.1 KB runs code
- rule-05-project-init/scripts/extract_figures_from_pdf.py 2.9 KB runs code
- rule-05-project-init/scripts/init_project.sh 6.0 KB runs code
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.
- 13d ago First seen · 299 lines · 193 tokens per session scan A 3fb52ed94d82
bishe-guider is a skill published in the GitHub repository zuoliangyu/LaTeX-Thesis-Writing (55 stars, last pushed 3mo ago), licensed MIT. It adds 193 tokens to every session and 3,220 once invoked, about $0.0010 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…