No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by OvOhao · Agent Tool · ★ 62
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is auto-paper-collecter safe to install? View the security audit →
🌐 简体中文 ｜ English 📚🔭 auto-paper-collecter 你的私人学术雷达 · Your Personal Research Radar 每天清晨，让 AI 替你逛遍 arXiv、把最新最相关的论文端到你面前 ☕✨ 如果它帮你省下了刷 arXiv 的时间，欢迎点一个 ⭐ —— 这是对作者最大的鼓励！ 🆕 最新更新 · What's New ✨ v1.1 — 体验与智能双升级 · 2026-06-27 🎨 体验移动端自适应布局 · 精修深色模式（优雅深灰卡片，非纯黑）· 刷新实时进度（生成摘要 12/20…） 🧠 更聪明👍/👎 反馈学习（不喜欢的下次自动少推）· 最新 / 最早 / 来源排序 · 全部 / 未读 / 已读筛选 🛰️ 更多源新增 HuggingFace 与 Papers with Code；GitHub 改为按 star 排序，只留高质量仓库 🔔 多渠道推送<
| Stars | 62 |
| Forks | 6 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.561849082453/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-28 |
| Created | 2026-06-25 |
| Platforms | claude-code, python |
| Est. Tokens | ~12k |
These tools work well together with auto-paper-collecter for enhanced workflows:
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auto-paper-collecter is 📚🔭 Your personal research radar — an LLM-powered tool that auto-aggregates the latest papers for your keywords across arXiv / Crossref / Semantic Scholar / GitHub / RSS.. It is categorized as a Agent Tool with 62 GitHub stars.
auto-paper-collecter is primarily written in Python. It covers topics such as academic, agent-skill, ai.
You can find installation instructions and usage details in the auto-paper-collecter GitHub repository at github.com/OvOhao/auto-paper-collecter. The project has 62 stars and 6 forks, indicating an active community.
auto-paper-collecter is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to auto-paper-collecter on Agent Skills Hub include context-compressor, paper-fetch, cli-anything-zotero. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: