vss-deploy-dense-captioning SKILL.md skillA
vss-deploy-dense-captioning 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-dense-captioning@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-dense-captioning/SKILL.md- Versions recorded
- 6
- Latest version
- v3.3.0-rc0, committed Oct 15, 2026
- First version recorded
- Sep 1, 2026
- Size
- 14,406 bytes
- Repository stars
- 1,968
- License
- Apache-2.0
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.
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
## 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). ## When to Use - Deploy standalone RT-VLM dense captioning when no full VSS profile is running - Generate dense captions for an uploaded file or RTSP stream via the RT-VLM REST API - Manage RT-VLM stream lifecycle (add/get-info/delete) or call chat-completions against it - Wire RT-VLM to Kafka/ELK/VIOS or sibling model services Not for deploying a full VSS profile (use `vss-build-vision-ai`) or ingesting video for search (video-search ingestion is a separate path). ## 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 …
Read the whole file at its exact version.
How to install
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-dense-captioning@sha256:2c31d7b6c4f8d0e9The 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_uwoccxinbsluj453)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Sep 1, 2026 and Oct 15, 2026, about one every 9 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.3.0-rc0 latest | 2026-10-15 | 6825805 | 14,406 B | A | view · diff |
| v3.3.0-rc0 | 2026-09-29 | 7ccc5db | 14,073 B | A | view · diff |
| v3.2.1 | 2026-09-28 | 4e29ded | 14,069 B | A | view · diff |
| v3.2.1 | 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 (14406 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_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/2c31d7b6c4f8d0e95483a435b109dd25c1e0b9fa101f12e0710fcbae2f3930b7
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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