rtvi-vlm-perf-testing SKILL.md skillA
rtvi-vlm-perf-testing 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/rtvi-vlm-perf-testing@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/benchmarking/rtvi-vlm-perf-testing/SKILL.md- Versions recorded
- 1
- Latest version
- v3.3.0-rc0, committed Oct 5, 2026
- Size
- 34,352 bytes
- Repository stars
- 1,968
- License
- Apache-2.0
Plan, run, and diagnose reproducible RT-VLM GPU performance canaries and benchmarks. Use this skill when running fresh-container stream-capacity, semantic-isolation, latency, throughput, or regression experiments against an RTVI microservices checkout.
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 VLM Perf Testing ## Operating Rules This repository ships the benchmark implementation under `services/rtvi/rt-vlm/perf/`. Set the manifest `repo` to that service directory and confirm that it contains `perf/benchmark/` before using repository-specific benchmark commands. Read the repository contributor instructions before changing scripts, configs, docs, or benchmark behavior. Check `git status --short` before editing and preserve unrelated dirty worktree changes. The committed planning and canary helpers require Python 3.9+. Executed canaries additionally require SSH, `tmux`, Docker with NVIDIA Container Toolkit, FFmpeg/FFprobe, and an NVIDIA GPU on the named remote host. Model images and protected artifacts may require the user's existing NGC or artifact-registry access; never request that credentials be stored in a manifest. Do not start or stop services when the user only asks to inspect existing reports. Treat setup, teardown, and benchmark runs as side-effecting operations and state that you are about to run them. …
Read the whole file at its exact version.
How to install
mdr add nvidia-ai-blueprints/video-search-and-summarization/rtvi-vlm-perf-testing@sha256:64bb0e4664230c76The 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_n4h6tsiy77ue3m3y)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 5, 2026.
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 (34352 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_n4h6tsiy77ue3m3y GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-ai-blueprints/video-search-and-summarization/rtvi-vlm-perf-testing GET https://markdownregistry.com/api/v1/blob/64bb0e4664230c767c555f5209ebf24be50c3f841d903e1b32043c227661c742
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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