vss-deploy-video-embedding SKILL.md skillA
vss-deploy-video-embedding from nvidia-ai-blueprints/video-search-and-summarization is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-video-embedding@v3.3.0-rc0Pins v3.3.0-rc0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia-ai-blueprints/video-search-and-summarization
- Path
skills/deployment/vss-deploy-video-embedding/SKILL.md- Versions recorded
- 4
- Latest version
- v3.3.0-rc0, committed Sep 29, 2026
- First version recorded
- Sep 1, 2026
- Size
- 9,144 bytes
- Repository stars
- 1,968
- License
- Apache-2.0
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# VSS Video Embedding (RT-Embed) Use this skill for the RT-Embed video embedding microservice, including the standard Cosmos-Embed1 deployment path and custom/BYOM embedding model work. **Trigger phrases:** `vss-deploy-video-embedding`, `RT-Embed`, `rtvi-embed`, `video embedding service`, `Cosmos-Embed1`, `embed live stream`, `embed video file`, `generate video embeddings`, `text embedding for video search`, `RT-Embed BYOM`, `VideoPrism embed`, `custom embed model`, `MODEL_IMPLEMENTATION_PATH`, `MODEL_REPOSITORY_SCRIPT_PATH`, `bring your own embedding model`. **Do not use this skill** for RT-CV, RT-VLM, VSS Agent, or general VSS deployment work unless the request deploys, operates, integrates, or customizes RT-Embed. ## When to Use - Deploy, size, upgrade, roll back, or tear down standalone RT-Embed (Cosmos-Embed1 or a custom/BYOM model) - Call RT-Embed's `/v1` API for text/video embeddings, live streams, model listing, health, metrics - Wire RT-Embed into another service with Redis, Kafka, OpenTelemetry, auth, or storage - Add or validate a custom/BYOM embedding backend - Debug RT-Embed readiness, model/cache startup, or Redis/Kafka reachability ## Service Snapshot …
Read the whole file at its exact version.
How to install
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-video-embedding@sha256:6d6df57dcb9284f4The line at the top of this page pins the label v3.3.0-rc0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_qqdt5hjube7vaxhx)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Sep 1, 2026 and Sep 29, 2026, about one every 9 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.3.0-rc0 latest | 2026-09-29 | 7ccc5db | 9,144 B | A | view · diff |
| v3.3.0 | 2026-09-28 | 4e29ded | 9,140 B | A | view · diff |
| v3.3.0 | 2026-09-02 | f4e197d | 8,700 B | A | view · diff |
| v3.3.0 | 2026-09-01 | fdf50ba | 7,998 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9144 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nvidia-ai-blueprints/video-search-and-summarization · 1,968 stars · license Apache-2.0 · pushed 2026-11-07 · branch develop
API
GET https://markdownregistry.com/api/v1/artifacts/art_qqdt5hjube7vaxhx GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-video-embedding GET https://markdownregistry.com/api/v1/blob/6d6df57dcb9284f4777c65ab510d3726c5284ca5df605ebfa9f50ab628877e18
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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