by yusufkaraaslan · MCP Server · ★ 15.1k
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Featured in: Document Parsing
Skill Seekers English | 简体中文 [ create and edit Excel files with charts, PivotTables, slice
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Skill_Seekers is Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection. It is categorized as a MCP Server with 15.1k GitHub stars.
Skill_Seekers is primarily written in Python. It covers topics such as ai-tools, ast-parser, automation.
The README on GitHub (github.com/yusufkaraaslan/Skill_Seekers) gives: pip install skill-seekers , then pip install skill-seekers[gemini]. Usage details are in the same README.
Skill_Seekers is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Skill_Seekers on Agent Skills Hub include gpt-researcher, code-graph-rag, excel-mcp-server. 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.
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