# skJack/kelip-paper-reading > A set of scripts and instructions for an AI agent that walks through a research paper in six stages: it fetches the PDF, LaTeX, figures and code, explains step by step and keeps notes. - Magnitude: 2.7 out of 10 — Early signal - Stars: 83 total · +2 stars measured 2026-10-09, 00:05–01:32 UTC, ≈ 25 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: Python · License: MIT · Created: 2026-10-06 · Last push: 2026-10-06 - GitHub: https://github.com/skJack/kelip-paper-reading · Page: https://gitnova.dev/en/r/skJack/kelip-paper-reading ## Useful for - Fetch a paper's materials from arXiv with one fetch_paper.py command - Walk through a paper with the agent in six stages while keeping notes - Extract figures and tables from a PDF via extract_figures.py ## Why it’s here - Star-counter measurements on 2026-10-09 (UTC), 00:05–01:32: 81 → 83 stars (+2). This is the change over that interval. - Estimated end-of-day forecast: about +25 stars, using observed gains and the previous day. - The repository is 3 days old and already has 83 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #174. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 5 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 27 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 1 ## Stars per day, last 6 days (oldest → newest, today is partial) 2026-10-04 … 2026-10-09: 0, 0, 34, 25, 24, 2 ## Spotted in now - Top new repositories this week: #174 ## More in this category 1. **goodseafly/how-to-work-better** — 5.4 · Early signal · Learning & lists · HTML · +8 stars measured 2026-10-09, 00:06–01:30 UTC, ≈ 112 by evening A practical workplace-rights handbook for mainland China: 576 tips on salary, overtime, social insurance, layoffs, non-compete and burnout, each noting its cost, payoff and evidence level. Full card: https://gitnova.dev/en/r/goodseafly/how-to-work-better.md 2. **wuyoscar/AISafetyHot-Hub** — 5.1 · Early signal · Learning & lists · TeX · +160 stars measured 2026-10-09, 00:05–01:30 UTC, ≈ 628 by evening · unusual star pattern (heuristic) A public hub of daily AI safety digests: news, papers and incidents in md/bib/json, plus instructions for connecting it to agents. Free access, no API key required. Full card: https://gitnova.dev/en/r/wuyoscar/AISafetyHot-Hub.md 3. **liquidslr/system-design-notes** — 4.9 · Breakout · Learning & lists · +51 stars measured 2026-10-09, 00:06–01:30 UTC, ≈ 563 by evening Notes from Alex Xu's System Design Interview books (Vol 1 and 2), covering 28 classic system design problems — from rate limiters and key-value stores to YouTube, Google Drive, and a stock exchange. For interview preparation and studying… Full card: https://gitnova.dev/en/r/liquidslr/system-design-notes.md 4. **cdyforever/how-to-live-better** — 4.0 · Steady · Learning & lists · HTML · +32 stars measured 2026-10-09, 00:06–01:31 UTC, ≈ 494 by evening A single-file HTML reading page for the open book "High Cost-Performance Life Guide" — 528 tips across 32 sections, searchable, offline-capable, zero dependencies. Full card: https://gitnova.dev/en/r/cdyforever/how-to-live-better.md 5. **rohitg00/ai-engineering-from-scratch** — 3.4 · Cooling · Learning & lists · Python · +14 stars measured 2026-10-09, 00:06–01:31 UTC, ≈ 222 by evening Open-source AI engineering curriculum: 523 lessons across 20 phases (~342 hours) in Python, TypeScript, Rust and Julia, where every lesson ships a reusable artifact such as a prompt, skill, agent or MCP server. Full card: https://gitnova.dev/en/r/rohitg00/ai-engineering-from-scratch.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-09 01:41 UTC, updated every 30 minutes.