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research-radar-paper-vault

Python ★ 42 updated 23d ago

Daily AI literature digest and visual Paper Vault for researchers. Monitors new papers by custom keywords, emails summaries via Gmail, and organizes full-text-read High/Medium papers into a categorized local web vault.

Two Codex AI skills that together let researchers get a daily email digest of new academic papers matching their keywords, then save the ones they read into a local personal paper library website.

PythonHTMLCSSJavaScriptCodexGmailsetup: moderatecomplexity 3/5

This repository contains two skills for use with Codex, an AI coding tool made by OpenAI. The two skills are designed to work together as a reading pipeline for researchers who want to track new academic papers in their field without manually checking multiple databases each day.

The first skill, daily-literature-digest, searches Crossref, OpenAlex, and arXiv each day using keywords you define, then emails a summary of recent papers to an address you specify through a Gmail connection in Codex. You configure your email address, keywords, preferred language, and timezone, and Codex sets up a daily automation to send the digest at a scheduled time. A local Markdown archive of results is saved alongside the emails. The automation depends on the Codex runner and your computer being awake at the scheduled time.

The second skill, paper-vault, builds a local static website that serves as a personal paper library. After reading the full text of a paper from the digest, you ask Codex to add it to the vault, where it appears as a card organized by category. Papers you have not yet obtained full-text access to go into a separate queue rather than the main view, keeping the library limited to papers you have actually read. The vault is a folder of HTML, CSS, and JavaScript files you serve locally with a simple Python command.

Both skills are installed by copying the skill folders into a Codex skills directory and restarting Codex. The README includes both English and Chinese instructions. Personal generated files, such as digest archives, state data, PDFs, and login traces, are explicitly excluded from what should be committed to the repository.

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