vss-deploy-video-embedding
vss-deploy-video-embedding is a Video marketing & short-form 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 (69/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when deploying, operating, integrating, or customizing the VSS RT-Embed Video Embedding microservice. Covers standalone Docker Compose deployment, the `/v1` REST API for text/video embeddings and live streams, Redis/Kafka/OTel integration, troubleshooting, and bring-your-own-model (BYOM) custom embedding backends, with VideoPrism as an example. Do not use for RT-CV, RT-VLM, VSS Agent, or general VSS deployment work that does not include RT-Embed.
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 1,861
Unproven: rated by static analysis only, not yet compared head-to-head.
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Our review
- Architecture
- 78 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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