santifer/career-ops：README 来源编辑指南

santifer/career-ops 的 README 将项目描述为"Open-source AI job search: scan job portals, evaluate listings with a structured A-F rubric into a 1.0-5.0 score, tailor your CV, track applications , runs locally in your AI coding CLI (Claude Code, Codex, OpenCode, Antigravity…)"。本文只整理仓库能直接核验的内容，不把星标、Fork 或宣传语当成质量证明。README 在"README"下的说明是：Companies use AI to filter candidates. I just gave candidates AI to choose companies.。这给出的首先是项目边界，而不是已经完成的生产验证。

从 README 的"What Is This"和相关条目看，读者可以先判断它是否解决自己的具体问题：Generates tailored PDFs -- ATS-optimized CVs customized per job description。如果你的目标与这段说明不一致，就不应仅凭项目热度采用它。这里保留原项目名、命令和组件名，方便回到一手来源核对。 README 还列出了另一条可核对的信息：Evaluates offers with a structured evaluation -- blocks A-F scored across 5 weighted dimensions, plus block G, a separate posting-legitimacy assessment that never affects the 1-5 score。这类原文条目可以帮助读者设计试运行步骤，但不能代替自己的环境测试。

README 把工作方式分散写在"What Is This"等段落中。可确认的线索包括：> Important: This is NOT a spray-and-pray tool. career-ops is a filter -- it helps you find the few offers worth your time out of hundreds. The system strongly recommends against applying to anything scoring below 4.0/5.。这篇整理没有把未写出的架构、性能或安全边界补成结论；真正的运行链仍应结合仓库目录、配置文件和版本标签检查。

第一次安装应从 README 给出的入口开始。当前可复核的命令是： git clone https://github.com/santifer/career-ops.git cd career-ops && npm install npx playwright install chromium # only needed for PDF generation # 2. Check setup npm run doctor # Validates all prerequisites # 3. Configure cp config/profile.example.yml config/profile.yml # Edit with your details cp templates/portals.example.yml portals.yml # Customize companies # 4. Add your CV # Create cv.md in the project root with your CV in markdown # 5. Open your AI CLI in 如果仓库没有提供命令，本文不会替它编造安装步骤，而是建议先打开 README 的"The CareerOps Manifesto"部分，确认系统依赖、默认端口和首次初始化动作。