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 brycewang-stanford · Agent Tool · ★ 151
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Auto-Research-Skills safe to install? View the security audit →
Auto-Research-Skills 自动化研究 技能 与智能体的精选合集 —— 从想法 → 实验 → 论文，全程自动驾驶。 🧩 已收录 3,433 个 skills，分布在 87 个仓库 中 —— 一次克隆拿到整套研究工具箱。 English · 简体中文 ⭐ 重点技能 [Imbad0202/academic-research-skills](https://github.com/Imbad0202/academic-resear
| Stars | 151 |
| Forks | 14 |
| Language | Python |
| Category | Agent Tool |
| License | CC0-1.0 |
| Quality Score | 58.3170678548146/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-07 |
| Created | 2026-05-27 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
Looking for a Auto-Research-Skills alternative? If you're comparing Auto-Research-Skills with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
面向中文用户的学术论文与科研 Agent Skill 每日排行榜 · 自动搜索、过滤并排名 GitHub 上的 Claude Code / Codex / OpenCode 科研 Skill 仓库
239 evaluated academic Claude/agent skills across 17 research domains (bioinformatics, data science, clinical,
De-Anthropocentric Research Engine — AI-powered academic research automation with deep literature survey, gap
900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer
HeyClaude (formerly Claude Pro Directory) is a searchable collection of pre-built AI skills, agents, MCP serve
Open-source agent skills for AI for Science: topic exploration, literature survey, experiments, paper writing,
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Auto-Research-Skills is A curated hub of autonomous-research skills & agents — from idea to paper, on autopilot. | 自主科研技能与智能体精选库 —— 从灵感到论文全文，全程自动完成。. It is categorized as a Agent Tool with 151 GitHub stars.
Auto-Research-Skills is primarily written in Python. It covers topics such as academic-research, agent-skills, ai-agents.
You can find installation instructions and usage details in the Auto-Research-Skills GitHub repository at github.com/brycewang-stanford/Auto-Research-Skills. The project has 151 stars and 14 forks, indicating an active community.
Auto-Research-Skills is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to Auto-Research-Skills on Agent Skills Hub include awesome-academic-research-skills, AlterLab-Academic-Skills, De-Anthropocentric-Research-Engine. 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: