vss-benchmark-video-summarization skillA
vss-benchmark-video-summarization is agent-read markdown (skill) from nvidia-ai-blueprints/video-search-and-summarization: Benchmark a deployed LVS instance — set up test media, run single-file latency and burst-throughput tests, analyze GPU and latency metrics, and get configuration recommendations to improve performance..
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
## Instructions Follow the routing table and step-by-step workflow below. Execute each step in order on a first run. For repeat runs, go directly to the **Repeat Runs** section. Detailed reference material lives in `references/` and benchmark scripts live in `scripts/`. > **⚠️ Shared GPU systems:** On a multi-user host, multiple LVS instances may be running on different ports. Always benchmark against the instance YOU deployed. Never assume port 38111 — always use the exact endpoint URL returned by `vss-build-vision-ai` when you deployed LVS. If you did not deploy an LVS instance in this session, deploy one first before running benchmarks. ## Purpose Measure the latency and throughput limits of a deployed LVS (Long Video Summarization) instance, identify GPU and pipeline bottlenecks, and suggest configuration changes that improve performance. Produces XLSX reports and JSON result files per scenario, plus a natural-language analysis with improvement recommendations. **Do NOT use this skill for:** - Deploying LVS — use the `vss-build-vision-ai` skill with the `lvs` profile. - Production monitoring or alerting — this is an offline benchmarking tool. …
Read the whole file at its exact version.
How to install
mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-benchmark-video-summarization@v3.2.0mdr add nvidia-ai-blueprints/video-search-and-summarization/vss-benchmark-video-summarization@sha256:4218443d2859d534Pin 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_73i2m3qty5qtiy2o)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.2.0 latest | 2026-09-23 | 71f6e8b | 20,162 B | A | view · diff |
| v3.2.0 | 2026-09-19 | d672ffc | 17,787 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 (20162 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_73i2m3qty5qtiy2o GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-ai-blueprints/video-search-and-summarization/vss-benchmark-video-summarization GET https://markdownregistry.com/api/v1/blob/4218443d2859d534ad09ca2685e6ecf8c822d0604d222a52467b033994c5550d
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