vss-deploy-dense-captioning skillA
vss-deploy-dense-captioning is agent-read markdown (skill) from nvidia-ai-blueprints/video-search-and-summarization: Use this skill when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). Not for VSS profile deploy or video-search ingestion..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
## Purpose Stand up the RT-VLM dense-captioning microservice on its own and exercise every endpoint it exposes (file upload, generate_captions, stream add/delete, chat-completions, Kafka topics). ## Prerequisites For standalone RT-VLM deployment: - Docker, Docker Compose, NVIDIA Container Toolkit, and a visible GPU. - NGC registry credentials in `$NGC_CLI_API_KEY` for `docker login nvcr.io`, image pulls, and local NGC model/artifact downloads. - `curl`, `jq`, the current VSS checkout, and a writable directory for standalone env/state. For API calls against an existing service: - Running RT-VLM service reachable at `$BASE_URL`. - Bearer token in `$RTVI_VLM_API_KEY` or `$NGC_CLI_API_KEY`, depending on how the service was configured. For full VSS profile deployment: - Use `../../vss-build-vision-ai/SKILL.md`; this skill does not deploy full VSS profiles. ## Instructions Follow the routing tables and step-by-step workflows below. Each section that ends in *workflow*, *quick start*, or *flow* is intended to be executed top-to-bottom. Detailed reference material lives in `references/`; execute the documented workflows directly unless a future revision names a concrete helper. …
Read the whole file at its exact version.
How to install
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-dense-captioning@v3.2.1mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-dense-captioning@sha256:f2a57201e15a34fdPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_uwoccxinbsluj453)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.2.1 latest | 2026-09-14 | 4ac059f | 13,596 B | A | view · diff |
| v3.2.1 | 2026-09-02 | e341562 | 13,582 B | A | view · diff |
| v3.2.1 | 2026-09-01 | fdf50ba | 13,293 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 (13596 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 · 1,876 stars · license NOASSERTION · pushed 2026-09-24 · branch develop
API
GET https://markdownregistry.com/api/v1/artifacts/art_uwoccxinbsluj453 GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-dense-captioning GET https://markdownregistry.com/api/v1/blob/f2a57201e15a34fd98db964894f8610cecf4af3c34b2a6dc98fd0ce5a24e0d77
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