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 scarletkc · MCP Server · ★ 242
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is vexor safe to install? View the security audit →
Vexor Vexor is a semantic search engine that builds reusable indexes over files and code. It supports configurable embedding and reranking providers, and exposes the same core through a Python API, a CLI tool, and an optional desktop frontend. Vexor Demo Video Featured In Vexor has been recognized and featured by the community: Ruan Yifeng's Weekly (Issue #379) - A leading tech n
| Stars | 242 |
| Forks | 16 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.3553180589275/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-02 |
| Created | 2025-11-09 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~16k |
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vexor is A semantic search engine for files and code.. It is categorized as a MCP Server with 242 GitHub stars.
vexor is primarily written in Python. It covers topics such as ai, claude, cli.
You can find installation instructions and usage details in the vexor GitHub repository at github.com/scarletkc/vexor. The project has 242 stars and 16 forks, indicating an active community.
vexor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to vexor on Agent Skills Hub include mychatarchive, hcom, agnix. 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: