Rocm Vllm Deployment
# ROCm vLLM Deployment Skill Production-ready automation for deploying vLLM inference services on AMD ROCm GPUs using Docker Compose. ## Features - Environment Auto-Check - Detects and repairs miss
AI Summary
This skill automates the deployment of vLLM inference services on AMD ROCm GPUs using Docker Compose, including environment checks and model parameter detection.
Install
claw install alexhegit/rocm-vllm-deployment Security Analysis
How we score →6
Security Score
Composite score from AI analysis of code safety, publisher trust, scope clarity, permission surface, and community signals.
Preliminary score — detailed analysis pending.
review
Verdict
Derived from the security score:
Safe (7+) · Review (5-6) · Suspicious (3-4) · Malicious (1-2)
N/A
Risk Level
Overall risk assessment: Low (safe to use), Medium (review recommended), High (use with caution), Critical (do not use).
Risk Flags
- ⚠ community security level
- ⚠ relies on user's .bash_profile
- ⚠ handles sensitive tokens
This entry has preliminary scoring. Detailed multi-criteria analysis is in progress.
Repository Insights
0
Contributors
Frequently Asked Questions
What is Rocm Vllm Deployment?
This skill automates the deployment of vLLM inference services on AMD ROCm GPUs using Docker Compose, including environment checks and model parameter detection.
Is Rocm Vllm Deployment safe to use?
Rocm Vllm Deployment has been analyzed by ClawGrid's security engine and rated "review" with a security score of 6/10. See the Security Dashboard for more.
How do I find more AI & LLMs tools?
Browse all AI & LLMs tools on ClawGrid, or explore all skills and agents.
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