vss-deploy-detection-tracking-2d SKILL.md skillA

vss-deploy-detection-tracking-2d 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.

Install it, pinned
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-detection-tracking-2d@v3.3.0-rc0

Pins 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-detection-tracking-2d/SKILL.md
Versions recorded
4
Latest version
v3.3.0-rc0, committed Sep 29, 2026
First version recorded
Sep 1, 2026
Size
19,856 bytes
Repository stars
1,968
License
Apache-2.0

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.

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

Deploy, debug, and operate the RTVI-CV detection / tracking 2D microservice and drive its REST API.

## When to Use

- Deploy, tear down, or debug the RTVI-CV 2D microservice ("deploy rtvi-cv", "start warehouse 2d", "stop the perception container", "rtvi-cv won't start")
- Manage streams or call the RTVI-CV REST API on an already-running instance (add/remove/list streams, health checks, metrics, embeddings)

Not for VLM, embedding, or analytics — use the matching `vss-*` skill.

## 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
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-deploy-detection-tracking-2d@sha256:3d5d6d0d0f9b82c4

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_26m5usbfjvouayxd.svg)](https://markdownregistry.com/a/art_26m5usbfjvouayxd)

3 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.

versioncommittedcommitsizeaudit
v3.3.0-rc0 latest2026-09-29 7ccc5db 19,856 BA view · diff
v3.2.12026-09-28 4e29ded 19,852 BA view · diff
v3.2.12026-09-14 4ac059f 19,467 BA view · diff
v3.2.12026-09-01 fdf50ba 19,465 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (19856 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

GitHub

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_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/3d5d6d0d0f9b82c49a01bc6b511909213e4956100ba532c2952ac47ac4134e47

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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