benchmark-video-search SKILL.md skillA
benchmark-video-search 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/benchmark-video-search@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/benchmark-video-search/SKILL.md- Versions recorded
- 8
- Latest version
- v3.3.0-rc0, committed Oct 23, 2026
- First version recorded
- Oct 8, 2026
- Size
- 21,135 bytes
- Repository stars
- 1,968
- License
- Apache-2.0
Measure retrieval quality and latency of a deployed VSS search profile by ingesting a labelled dataset and running the vss CLI across retrieval paths. Use when the user asks to "benchmark video search", "compare search recall between builds", or "profile search latency" on a deployed VSS profile. A default run deletes every uploaded video file on the target deployment before ingesting (RTSP cameras are kept); --skip-ingest deletes nothing.
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 Search ## Instructions Follow the routing table, then the numbered steps. Execute each step in order on a first run; for a repeat run against an already-indexed deployment run **Step 3**, then go to **Step 5**. Reference material is in `references/`, the runner is in `scripts/`. ## Purpose Answers two questions about a **search profile** deployment: does retrieval find the right footage, and where does a query's time go. It drives the `vss` CLI — the same path the product uses, since the agent adapter shells out to `vss search run <mode> --raw` for every search — so the numbers describe what ships rather than a REST endpoint that is being retired. Searches go through `vss`. To know when ingestion is done and when a wipe has finished, the runner also reads Elasticsearch and RT-CV's stream list directly, read-only, through the deployment's `:7777` ingress (derived from `--endpoint`). It never writes to either. It changes deployment state only through the agent API: it deletes file sources and uploads videos. ## When not to use this skill - For a single video-search question, use `vss-search-archive`. …
Read the whole file at its exact version.
How to install
mdr add nvidia-ai-blueprints/video-search-and-summarization/benchmark-video-search@sha256:067b77c3b6b34a7cThe 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_pho7gib5lww2kppz)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 8 versions of this file, between Oct 8, 2026 and Oct 23, 2026, about one every 2 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.3.0-rc0 latest | 2026-10-23 | 2cb9875 | 21,135 B | A | view · diff |
| v3.3.0-rc0 | 2026-10-23 | 5ea879f | 20,074 B | A | view · diff |
| v3.3.0-rc0 | 2026-10-19 | 324d385 | 20,601 B | A | view · diff |
| v3.3.0-rc0 | 2026-10-19 | 549f4ac | 20,048 B | A | view · diff |
| v3.3.0-rc0 | 2026-10-19 | a3ee474 | 19,110 B | A | view · diff |
| v3.3.0-rc0 | 2026-10-19 | ac120a8 | 19,666 B | A | view · diff |
| v3.3.0-rc0 | 2026-10-19 | c0e52dc | 19,442 B | A | view · diff |
| v3.3.0-rc0 | 2026-10-08 | abb6da2 | 17,208 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 (21135 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_pho7gib5lww2kppz GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-ai-blueprints/video-search-and-summarization/benchmark-video-search GET https://markdownregistry.com/api/v1/blob/067b77c3b6b34a7c0d87a5863f70d96b1ca7ef21badaf9d5cf363c1556344bc8
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.
More from nvidia-ai-blueprints/video-search-and-summarization
Every file in nvidia-ai-blueprints/video-search-and-summarization