vss-benchmark-vlm-qa SKILL.md skillB
vss-benchmark-vlm-qa 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-benchmark-vlm-qa@v3.3.0-rc0Pins v3.3.0-rc0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia-ai-blueprints/video-search-and-summarization
- Path
skills/benchmarking/vss-benchmark-vlm-qa/SKILL.md- Versions recorded
- 4
- Latest version
- v3.3.0-rc0, committed Sep 30, 2026
- First version recorded
- Sep 19, 2026
- Size
- 10,185 bytes
- Repository stars
- 1,968
- License
- Apache-2.0
Benchmark video Q&A accuracy and latency of a deployed RT-VLM (Cosmos Reason 3) via vss vlm run, using questions and videos from the DSS vss-devx-base dataset. Replaces the deprecated nat eval / vss-agent QA path. Not for tool-calling or trajectory evaluation, and not for LVS summarization throughput.
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
# Benchmark video Q&A via `vss vlm` Measure **accuracy** (LLM-as-judge vs ground truth) and **latency** of end-to-end video question answering by calling **`vss vlm run`** against a deployed Cosmos Reason 3 RT-VLM. Questions and clips come from DSS dataset **`vss-devx-base`** (`nvdataset`). This replaces `docker exec vss-agent nat eval` for the QA slice. It does **not** score tool-calling or trajectories. ## When to use - The user asks to benchmark / evaluate VLM video Q&A after vss-agent / NAT eval was removed. - The user wants latency and answer accuracy on `vss-devx-base`. ## When not to use - Tool-calling or trajectory evaluation — out of scope. - LVS summarization throughput — use `vss-benchmark-video-summarization`. - Ad-hoc single questions — use `/vss-ask-video`. ## Prerequisites - A VSS stack with RT-VLM serving Cosmos Reason 3, and `vss configure` already run so `vss configure check` lists `rt_vlm` as `ok` and `vst` as `ok`. **Configure with a routable address, not `localhost`.** Clips are addressed as VIOS sensors so RT-VLM fetches them by URL; the URL VIOS mints is built from the …
Read the whole file at its exact version.
How to install
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-benchmark-vlm-qa@sha256:59ce533fde89c6e6The 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_umytbeeqk2yswbwv)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Sep 19, 2026 and Sep 30, 2026, about one every 4 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.3.0-rc0 latest | 2026-09-30 | 47e87e1 | 10,185 B | B | view · diff |
| v3.3.0-rc0 | 2026-09-29 | 7ccc5db | 10,177 B | B | view · diff |
| v3.3.0 | 2026-09-23 | 71f6e8b | 10,173 B | B | view · diff |
| v3.3.0 | 2026-09-19 | d672ffc | 8,876 B | B | view |
Audit of the latest version
- fail: No link to a raw IP address (matched: http://127.0.0.1:8000)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10185 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 script tag
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
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_umytbeeqk2yswbwv GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-ai-blueprints/video-search-and-summarization/vss-benchmark-vlm-qa GET https://markdownregistry.com/api/v1/blob/59ce533fde89c6e697723d45db8cbcfd76101657216ed39360bc477deb0a3dbd
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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