by waybarrios · MCP Server · ★ 1.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
uv tool install git+https://github.com/waybarrios/vllm-mlx.git
uv pip install git+https://github.com/waybarrios/vllm-mlx.gitTaken from the project's README on GitHub. Check the security audit before running it.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 1,650 |
| Forks | 237 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71/100 |
| Open Issues | 108 |
| Last Updated | 2026-11-05 |
| Created | 2025-12-06 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~16k |
vLLM-MLX vLLM-like inference for Apple Silicon - GPU-accelerated Text, Image, Video & Audio on Mac Overview vllm-mlx brings native Apple Silicon GPU acceleration to vLLM by integrating: MLX: Apple's ML framework with unified memory and Metal kernels mlx-lm: Optimized LLM inference with KV cache and quantization mlx-vlm: Vision-language models for multimodal inference mlx-audio: Speech-to-Text and...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: