santifer/career-ops: README-based editorial guide

santifer/career-ops describes itself in the README as "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…)". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "README", the README says: Companies use AI to filter candidates. I just gave candidates AI to choose companies.. That establishes the project's stated boundary, not a production test.

The README's "What Is This" section gives a useful starting point for deciding whether the project fits: Generates tailored PDFs -- ATS-optimized CVs customized per job description. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: 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. It can shape a first test, but it does not replace testing in the intended environment.

The operating model is spread across sections such as "What Is This". The source evidence includes: > 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.. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.

Start installation from the README's documented entry point. A command that can be checked in the source is: 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 When the README contains no runnable command, this article does not invent one. Open its "The CareerOps Manifesto" section and confirm system dependencies, default ports, and first-run initialization before using a public server.