rtvi-byom-porting SKILL.md skillA

rtvi-byom-porting 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/rtvi-byom-porting@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/rtvi-byom-porting/SKILL.md
Versions recorded
3
Latest version
v3.3.0-rc0, committed Oct 15, 2026
First version recorded
Sep 29, 2026
Size
5,980 bytes
Repository stars
1,968
License
Apache-2.0

Use when adding, debugging, or validating a bring-your-own VLM in VSS RT-VLM, including a custom Hugging Face or NGC checkpoint loaded with configuration only (VLM_MODEL_TO_USE=vllm-compatible), plus adapters, plugins, shims, and model-specific runtime dependencies. Not for ordinary catalog-preset deployment of an already-wired model; use vss-deploy-dense-captioning for that.

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

# RTVI BYOM Porting

## Purpose

Port a VLM into the VSS RT-VLM service without hard-coding one checkpoint or
GPU platform. Prefer configuration, then an RTVI adapter or vLLM plugin, and
patch vLLM only when the supported extension points cannot express the model.

Use `vss-deploy-dense-captioning` for ordinary catalog-preset deployment of an
already-wired model (for example `cosmos-reason3`). Use this skill for a custom
or private checkpoint even when path 1 (configuration only) is enough, and when
architecture, processor, weight mapping, runtime dependencies, or request
adaptation requires repository work.

## Model Contract

Before changing code, record:

- immutable model source and revision, license and access requirements;
- architecture, processor, tokenizer, quantization and context length;
- vision-token and frame-sampling assumptions;
- CUDA architecture, memory, vLLM/runtime and custom-kernel requirements.

For a private Hugging Face source, use `HF_TOKEN` only during authenticated
download/cache population. Never print it, embed it in `MODEL_PATH`, or bake it
into an image. Prove the cached model starts after the temporary credential is
…

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/rtvi-byom-porting@sha256:6b23177feed41f4d

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_g4el2yfgm2gpsbyb.svg)](https://markdownregistry.com/a/art_g4el2yfgm2gpsbyb)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Sep 29, 2026 and Oct 15, 2026, about one every 8 days.

versioncommittedcommitsizeaudit
v3.3.0-rc0 latest2026-10-15 6825805 5,980 BA view · diff
v3.3.0-rc02026-09-30 79cf5b1 5,589 BA view · diff
v3.3.02026-09-29 6cd044c 5,585 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 (5980 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_g4el2yfgm2gpsbyb
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-ai-blueprints/video-search-and-summarization/rtvi-byom-porting
GET https://markdownregistry.com/api/v1/blob/6b23177feed41f4d6815728ddaa36ebdbe59913eeaa320fa205473baf82303f7

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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