by fcakyon · MCP Server · ★ 190
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
phd-skills Research integrity plugin for Claude Code — paper auditing, citation verification, experiment analysis, and methodology-first skills for academic workflows. Built by Fatih Cagatay Akyon (1300+ citations, 7 patents) after 200+ Claude Code sessions, tens of critical AI mistakes caught the hard way, and thousands of hours of PhD research. Every guardrail in this plugin traces to a real mistake. Why This Plugin Exists I use Claude Code daily for my PhD. It's powerful, but it makes research-specific mistakes that cost hours: It typed "done?" as "dont?" and launched an unwanted upload of thousands of files It analyzed my full dataset when I asked for a specific 4k/2k/2k split It claimed a test covered a bug it had never actually verified It never once looked at a figure it generated — just trusted the numbers Other plugins give you more commands. This plugin gives you guardrails. Install Then run inside Claude Code to configure notifications, LaTeX, and allowlist.
| Stars | 190 |
| Forks | 18 |
| Language | Shell |
| Category | MCP Server |
| License | MIT |
| Quality Score | 59.148/100 |
| Last Updated | 2026-05-09 |
| Created | 2026-03-11 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~7k |
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phd-skills is PhD Research Skills for Claude Code: paper reproduction, experiment design, paper review, result comparison and more.. It is categorized as a MCP Server with 190 GitHub stars.
phd-skills is primarily written in Shell. It covers topics such as academic, agents, ai.
You can find installation instructions and usage details in the phd-skills GitHub repository at github.com/fcakyon/phd-skills. The project has 190 stars and 18 forks, indicating an active community.
phd-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to phd-skills on Agent Skills Hub include claude-emporium, MoltBrain, claude-code-karma. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.