by yzfly · MCP Server · ★ 66
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
ContextX: Context-driven AI development framework powered by Claude Code. Transform documents into complete projects with intelligent agent workflows.
| Stars | 66 |
| Forks | 5 |
| Language | Shell |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 52.3999799301531/100 |
| Last Updated | 2026-06-16 |
| Created | 2025-07-27 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~5k |
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ContextX is ContextX: Context-driven AI development framework powered by Claude Code. Transform documents into complete projects with intelligent agent workflows.. It is categorized as a MCP Server with 66 GitHub stars.
ContextX is primarily written in Shell. It covers topics such as claude, claude-ai, claude-code.
You can find installation instructions and usage details in the ContextX GitHub repository at github.com/yzfly/ContextX. The project has 66 stars and 5 forks, indicating an active community.
ContextX is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ContextX on Agent Skills Hub include lumen, smart-tree, xclaude-plugin. 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: