vss-benchmark-video-summarization SKILL.md skillA
vss-benchmark-video-summarization 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-video-summarization@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/vss-benchmark-video-summarization/SKILL.md- Versions recorded
- 4
- Latest version
- v3.3.0-rc0, committed Sep 29, 2026
- First version recorded
- Sep 19, 2026
- Size
- 20,614 bytes
- Repository stars
- 1,968
- License
- Apache-2.0
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.
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
## 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@sha256:fb208c0bdb487aa5The 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_73i2m3qty5qtiy2o)
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 29, 2026, about one every 4 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.3.0-rc0 latest | 2026-09-29 | 7ccc5db | 20,614 B | A | view · diff |
| v3.2.0 | 2026-09-28 | 4e29ded | 20,610 B | A | view · diff |
| v3.2.0 | 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 (20614 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_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/fb208c0bdb487aa50a64f516222f34e0a32fe7c8c65ab1e20dd30d285928434b
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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