vllm-omni-multimodal
vllm-omni-multimodal is a Local & open models skill for AI agents, published by hsliuustc0106 in the vllm-omni-skills repository on GitHub. Skillspace rates vllm-omni-multimodal C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Transcribe speech, generate images from prompts, analyze video content, and convert between modalities using multimodal omni-modality models like Qwen2.5-Omni and Qwen3-Omni. Use when working with multimodal models for speech recognition, image generation, video understanding, voice synthesis, or any task combining text, image, audio, and video inputs and outputs simultaneously.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 82
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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