vlm-openvino-serving-user
vlm-openvino-serving-user is an MLOps & model serving skill for AI agents, published by open-edge-platform in the edge-ai-libraries repository on GitHub. Skillspace rates vlm-openvino-serving-user D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Deploy and consume the OpenAI-compatible VLM OpenVINO Serving microservice — bring it up with setup.sh + docker compose (from a repo clone, or by fetching those same files from GitHub when no clone exists) using the prebuilt intel/vlm-openvino-serving image, send chat completions with text, images, or video, stream responses, and read telemetry. Use when the user wants to run or call the VLM service from their app. Not for modifying the service's source — that is vlm-openvino-serving-dev.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 152
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 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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