Menu

Individual skill

SmartHome Video Anomaly Benchmark

VLM evaluation suite for video anomaly detection in smart home camera footage

skills/analysis/smarthome-bench/SKILL.md

Read pinned source

Source commit 933dcc7c90226cd1f92dc6ea7cee3b3c94790ad0

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 2, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

Standard SKILL.md format has not been attested at this commit. No installation command is available; inspect the source.

Repository context

Repository stars (not skill ratings)
3,135
Repository last updated
Sep 17, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# SmartHome Video Anomaly Benchmark

Benchmark suite evaluating VLM models on **video anomaly detection** across **7 smart home categories** — based on the [SmartHome-Bench](https://github.com/Xinyi-0724/SmartHome-Bench-LLM) dataset (1,203 YouTube smart home camera clips).

> **Key differentiator from HomeSec-Bench**: This benchmark requires **video understanding** (multi-frame sampling), not single-frame analysis.

## Setup

**Requires `npm install` + system dependencies.** The deployment agent should:
1. Check for `yt-dlp` and `ffmpeg` in PATH
2. Run `npm install` in the skill directory

Entry script: `scripts/run-benchmark.cjs`