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Benchmark Video Search

Benchmark Video Search is an agent skill (a SKILL.md file) from NVIDIA-AI-Blueprints/video-search-and-summarization. Measure retrieval quality and latency of a deployed VSS search profile by ingesting a labelled dataset and running the vss CLI across retrieval paths. It works with Claude Code and has 1,947 GitHub stars across a repository of 2 listed skills.

github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/skills/benchmarking/benchmark-video-search (opens in a new tab)

Data as of from the GitHub API; description from the skill's SKILL.md. Report an error

View on GitHub (opens in a new tab)

Add this skill

Claude

Claude Code loads skills from ~/.claude/skills/ (all projects) or .claude/skills/ (one project):

git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization.git
cp -r video-search-and-summarization/skills/benchmarking/benchmark-video-search ~/.claude/skills/benchmark-video-search   # personal, or .claude/skills in a project

In the Claude apps, zip the benchmark-video-search folder and upload it under Customize > Skills > + > Upload a skill (code execution must be on).

ChatGPT / Codex

Codex reads skills from .agents/skills/ in a repo or ~/.agents/skills/ for every project:

git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization.git
cp -r video-search-and-summarization/skills/benchmarking/benchmark-video-search .agents/skills/benchmark-video-search   # repo; ~/.agents/skills for all projects

Standalone skills also load in the ChatGPT desktop app.

Cursor

Cursor loads skills from .cursor/skills/ (or ~/.cursor/skills/) and also reads .claude/skills/:

git clone --depth 1 https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization.git
cp -r video-search-and-summarization/skills/benchmarking/benchmark-video-search .cursor/skills/benchmark-video-search   # project; ~/.cursor/skills for all projects

Source (checked Oct 7, 2026): code.claude.com/docs/en/skills (opens in a new tab), support.claude.com/en/articles/12512180-using-skills-in-claude (opens in a new tab), learn.chatgpt.com/docs/build-skills (opens in a new tab), cursor.com/docs/context/skills (opens in a new tab)

What this skill does

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. Follow the routing table, then the numbered steps.

When it triggers

  • Use when the user asks to "benchmark video search", "compare search recall between builds", or "profile search latency" on a deployed VSS profile.
  • "benchmark video search"
  • "compare search recall between builds"
  • "profile search latency"

More skills in NVIDIA-AI-Blueprints/video-search-and-summarization

2 skills are listed from this repository.

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FAQ

Benchmark Video Search FAQ

Still curious? Email info@appsgit.com.

How do I install the Benchmark Video Search skill?

Copy the benchmark-video-search folder (the one containing SKILL.md) into ~/.claude/skills/ for Claude Code, .agents/skills/ for Codex or .cursor/skills/ for Cursor. The agent picks it up automatically when a task matches its description.

Is the Benchmark Video Search skill free?

Yes. The repository is open source under the Apache-2.0 license.

Is Benchmark Video Search maintained?

The repository's most recent commit was on Oct 23, 2026. Its latest release is v3.3.0. appsgit only lists skills from repositories with a commit in the last six months.