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 agentmods add skills/cn-big-cabbage/github-skill-distiller/paper-checkingnpx skills add CN-big-cabbage/github-skill-distiller --skill paper-checkinggit clone --depth 1 https://github.com/CN-big-cabbage/github-skill-distillerWrote 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/cn-big-cabbage/github-skill-distiller/paper-checking)<a href="https://agentmods.dev/skills/cn-big-cabbage/github-skill-distiller/paper-checking"><img src="https://agentmods.dev/badge/skills/cn-big-cabbage/github-skill-distiller/paper-checking.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 | $0.00031 | $0.00779 |
| Opus 5 | $0.00015 | $0.00390 |
| Sonnet 5 | $0.00006 | $0.00156 |
| Haiku 4.5 | $0.00003 | $0.00078 |
Grade A, and why
paper-checking 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 3d 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
paper-checking 论文查重系统
技能概述
本技能帮助高校、企业、机构进行文本查重,支持以下场景:
- 纵向查重:检查文件是否复制比对库内容(论文查重)
- 横向查重:检查批次文件互相复制情况(防串标)
- 快速查重:一亿字次级论文库秒级查重
- 报告生成:输出详细查重报告
应用场景:高校论文查重、标书查重、辅助防串标、项目申报书查重、企业内部文档查重、学生作业查重
使用流程
AI 助手将引导你完成以下步骤:
- 安装系统(下载并编译)
- 配置比对库(添加查重基准文件)
- 执行查重(纵向或横向)
- 分析查重报告
关键章节导航
AI 助手能力
当你向 AI 描述查重需求时,AI 会:
- 自动分析文件格式和内容
- 推荐合适的查重阈值
- 执行纵向或横向查重
- 分析查重报告并标识重复段落
- 提供关键词过滤建议
- 处理查重中断恢复
核心功能
- ✅ 纵向查重:与比对库文件比对
- ✅ 横向查重:批次文件互相比对
- ✅ 秒级查重:一亿字次级论文库
- ✅ 关键词过滤:过滤学校名、机构名
- ✅ 查重报告:rtf格式详细报告
- ✅ 中断恢复:意外退出后继续查重
- ✅ 多进程并行:CPU逻辑核心数-2
快速示例
# 下载项目
git clone https://github.com/tianlian0/paper_checking_system.git
# 编译运行(需要Visual Studio)
# 打开项目,编译并运行paper_checking.exe
# 添加比对库(纵向查重必需)
选择比对库管理 → 添加到比对库 → 选择文件夹
# 执行查重
选择待查文件 → 设置阈值(10-16) → 开始查重
安装要求
- Windows 7及以上
- 可用内存1.5GB以上
- Visual Studio 2017及以上
- vc2015运行库
- .NET Framework 4.6
许可证
GPL2协议
项目链接
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.
- 3d ago First seen · 94 lines · 31 tokens per session scan A 09c3661eb741
paper-checking is a skill published in the GitHub repository CN-big-cabbage/github-skill-distiller (4 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 779 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.
Other skills, from other repositories
summarizing-a-document
Use when summarizing an article, paper, transcript, or doc - with verbatim quotes for the most important claims.
file-processor-subagent
Sous-agent de traitement de fichiers — lecture, parsing, transformation et génération de fichiers multiformats. Se déclenche avec "sous-agent fichier", "file processing agent", "agent qui traite des fichiers", "PDF agent", "Excel agent", "document processor", "file parser agent". Also triggers on "agent that parses…
wiki-ingest
Digest a course source file into the wiki. This skill should be used when the user says "ingest", "消化", "process this PDF/slide", or drops a course file into raw/ and wants it turned into wiki pages. Reads the source, deduplicates via manifest, creates source + concept pages, and finds cross-course connections.
arxiv
Search and download arXiv papers (no API key needed).
nano-pdf
Edit PDFs with natural-language instructions using the nano-pdf CLI tool.
ocr-and-documents
Extract text from PDFs, images, scans, Word docs (Python).