vss-deploy-video-embedding

vss-deploy-video-embedding is an MLOps & model serving skill for AI agents, published by NVIDIA-AI-Blueprints in the video-search-and-summarization repository on GitHub. Skillspace rates vss-deploy-video-embedding D (65/100) and it passed the safety scan; the rating is based on static analysis only.

Use this skill when deploying, operating, or integrating the VSS 3.2 GA RT-Embed Video Embedding microservice. Covers Docker Compose bring-up, GPU and storage prerequisites, the `/v1` REST API (file uploads, text and video embeddings, live RTSP streams, health and metrics), Redis/Kafka/OTel integration, common failure modes, and teardown.

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
1,737

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.

View source on GitHubNVIDIA-AI-Blueprints/video-search-and-summarization

Our review

Architecture
78 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 1 other repositories, in 1 collections
Scope
Vendor-specific: built around one product. Deploying NVIDIA's VSS video embedding microservice product

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
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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