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 Imbad0202 · Claude Skill · ★ 50.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is academic-research-skills safe to install? View the security audit →
Academic Research Skills for Claude Code 繁體中文版 A comprehensive suite of Claude Code skills for academic research, covering the full pipeline from research to publication. Guides & Articles Academic Writing Shouldn't Be a Solo Act — A detailed walkthrough of the full pipeline workflow (English) 學術寫作不該是一個人的事：一套開源 AI 協作工具如何改變研究者的工作流 — 完整使用指南（繁體中文） Features Deep Research — 13-agent research team with Socratic guided mode + systematic review / PRISMA + SCR Loop Academic Paper — 12-agent paper writing with LaTeX output hardening, visualization, revision coaching, and citation conversion Academic Paper Reviewer — Multi-perspective peer review with 0-100 quality rubrics (EIC + 3 dynamic reviewers + Devil's Advocate) Academic Pipeline — Full 10-stage pipeline orchestrator with adaptive checkpoints, claim verification, and mat
| Stars | 50,252 |
| Forks | 3,875 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 71.040040782802/100 |
| Open Issues | 32 |
| Last Updated | 2026-10-03 |
| Created | 2026-02-26 |
| Platforms | claude-code, python |
| Est. Tokens | ~20k |
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academic-research-skills is Academic Research Skills for Claude Code: research → write → review → revise → finalize. It is categorized as a Claude Skill with 50.3k GitHub stars.
academic-research-skills is primarily written in Python. It covers topics such as academic-pipeline, academic-writing, ai-research.
You can find installation instructions and usage details in the academic-research-skills GitHub repository at github.com/Imbad0202/academic-research-skills. The project has 50.3k stars and 3875 forks, indicating an active community.
The top alternatives to academic-research-skills on Agent Skills Hub include humanizer, Auto-claude-code-research-in-sleep, AI-Research-SKILLs. 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: