Contract Tracker Pro：合同 PDF 解析与履约台账提醒
Contract Tracker Pro（@user_26bdbd50/contract-tracker-pro）是 SkillHub 上的 business-ops 社区 Skill，面向合同履约跟踪：上传 PDF 或粘贴文本，用自配 OpenAI 兼容模型抽取付款、交期与到期节点，写入本地 JSON 台账，并按提前三天、当天、逾期每日规则生成飞书提醒。需配置 CONT-TRACK Token 与 AI API Key，支持 skillhub 安装到 Cursor 等 skills 目录。本文基于 SkillHub 元数据与技能包 SKILL.md/README 整理安装、配置与脚本用法。
Read Moredsh-pdf-mineru: Provider-Independent DSH PDF Reading Tool Powered by MinerU
`dsh-pdf-mineru` is a DeepSeek Harness plugin that leverages the MinerU engine to provide agents with high-precision PDF parsing capabilities. It supports both cloud and private deployment services, with core features such as layout analysis, formula and table extraction, asynchronous processing, and intelligent caching. Users can quickly complete document parsing, background processing of long documents, and precise document slicing through natural language commands. Easy to install and well suited for processing complex documents such as academic papers, it significantly improves the efficiency and accuracy of AI-powered document processing.
Read Morezhtx2024/dsh-pdf: DeepSeek Harness PDF Parsing Toolkit
zhtx2024/dsh-pdf is a PDF parsing plugin for DeepSeek Harness (DSH), designed to resolve garbled characters and missing text when standard rendering engines process non-embedded Chinese fonts, such as in schematics exported from JLCPCB or EasyEDA. The plugin provides three tools: retrieving document metadata, extracting text, and rendering images as PNG. It employs a hybrid engine architecture: by default, it uses the PDF.js engine, and automatically switches to a built-in decoder when non-embedded CJK fonts are encountered, mapping CID codes to Unicode and rendering the text using system fonts. A session restart is required after installation. Note that the plugin cannot extract text from scanned documents, and large files may consume significant memory.
Read Moredsh-zpdf: Adding PDF Parsing, Translation, and Conversion Capabilities to DeepSeek Harness
# Introduction PDFs are an unavoidable part of agent development: papers, reports, and contracts often lose information regarding formulas, tables, and multi-column layouts when fed directly to models. Translating a PDF requires piecing together a pipeline for parsing, layout adjustment, and re-writing. DeepSeek Harness (DSH) adopts the philosophy of "everything is a plugin"; such high-frequency capabilities need not be built from scratch. Below, I introduce dsh-zpdf, a community plugin that encapsulates PDF parsing, layout translation, format conversion, and points management into DSH tools. # What is it? Maintained by komoai2026, the npm package is named `@kolmopdf/dsh-zpdf` and is licensed under the MIT License. One-sentence positioning: ZPDF tools for DeepSeek.
Read Moredsh-pdf: Reading PDF Text, Metadata, and Page Ranges Locally in DeepSeek Harness
`sunshine-lang/dsh-pdf` is a DeepSeek Harness (DSH) plugin licensed under MIT, designed to locally parse PDF files. It leverages PDF.js to extract text, metadata (such as title and total page count), and content from specified page ranges in an offline environment, without requiring an API key or network connection. Its core functionality includes the `pdf_read` tool, which supports text extraction page by page with page number annotations and allows flexible selection of page ranges via formats like `"1-3,5"` or `"all"`. To ensure security and efficiency, the plugin incorporates built-in limits for file byte size (default: 20 MiB), maximum pages per parse (default: 500 pages), and maximum characters per invocation (default: 12,000 characters), triggering an error when these limits are exceeded.
Read More