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 Galaxy-Dawn · MCP Server · ★ 5.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-scholar safe to install? View the security audit →
Language: English | 中文 Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, and OpenCode across literature review, coding, experiments, reporting, writing, and project knowledge management. Branc
| Stars | 5,228 |
| Forks | 417 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.7145133025945/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-27 |
| Created | 2026-01-27 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~19k |
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claude-scholar is Semi-automated research assistant for academic research and software development. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across ideation, coding, experiments, writing, and public. It is categorized as a MCP Server with 5.2k GitHub stars.
claude-scholar is primarily written in Python. It covers topics such as academic-research, ai-agents, claude.
You can find installation instructions and usage details in the claude-scholar GitHub repository at github.com/Galaxy-Dawn/claude-scholar. The project has 5.2k stars and 417 forks, indicating an active community.
claude-scholar is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-scholar on Agent Skills Hub include ai-devkit, context-mode, everything-claude-code-zh. 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: