vss-deploy-detection-tracking-2d skillA
vss-deploy-detection-tracking-2d is agent-read markdown (skill) from nvidia-ai-blueprints/video-search-and-summarization: Use this skill when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice. Trigger when the user says things like 'deploy rtvi-cv', 'start warehouse 2d', 'add a stream', 'check rtvi-cv health', or 'stop the perception container'. Not for VLM, embedding, or analytics — use the matching vss-* skill..
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 Deploy, debug, and operate the RTVI-CV detection / tracking 2D microservice and drive its REST API. ## Prerequisites - Active VSS deployment reachable on `$HOST_IP` (see `vss-build-vision-ai` and `references/`). - NGC credentials in `$NGC_CLI_API_KEY` and `$NVIDIA_API_KEY` for any image pulls. - `curl`, `jq`, and Docker available on the caller. ## 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/` and helper scripts live in `scripts/` — call them via `run_script` when the skill points to a script by name. ## Examples Worked end-to-end examples are kept under `evals/` (each `*.json` manifest contains a runnable scenario) and inline in the per-workflow `curl` blocks below. Run a Tier-3 evaluation with `nv-base validate <this-skill-dir> --agent-eval` to replay them. ## Limitations - Requires the matching VSS profile / microservice to be deployed and reachable from the caller. - NGC-hosted models and NIMs may be subject to rate-limits, GPU memory requirements, and license restrictions. …
Read the whole file at its exact version.
How to install
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-detection-tracking-2d@v3.2.1mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-detection-tracking-2d@sha256:dce7b639d8a87e31Pin 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_26m5usbfjvouayxd)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.2.1 latest | 2026-09-14 | 4ac059f | 19,467 B | A | view · diff |
| v3.2.1 | 2026-09-01 | fdf50ba | 19,465 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 (19467 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_26m5usbfjvouayxd GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-detection-tracking-2d GET https://markdownregistry.com/api/v1/blob/dce7b639d8a87e316c1af1064f4efa1a6eca9b165d750659ba53625891cc610e
Your agent 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.
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