About this skill

Problem addressed

Pet surveillance clips often contain scratching, chewing, jumping, chasing, or anxiety-related behavior, and reviewing frames manually is tedious. This skill turns such clips into a structured review: it accepts images, videos, local files, or public URL values, then uses server-side analysis to identify behavior, summarize observations, add risk notes and advice, and provide a report link. It is useful when the goal is to document what a pet did and which moments are worth checking.

How it works

The skill invokes the scripts.pet_behavior_detection_analysis module, which calls a cloud API instead of storing local analytics logic. A typical flow is: pass a local path with --input or a remote address with --url; the system handles user association internally; run the script from the skill root; receive structured output or a Markdown report. You can control verbosity with --detail and save results with --output. Historical report queries use --list and must read the latest records from the cloud API rather than local memory or ad hoc notes.

Boundaries

The skill is oriented toward cats, dogs, birds, and similar pets. Video input is expected to be mp4/avi/mov, up to 10MB. Output is a behavioral observation aid, not a veterinary diagnosis or professional behavior correction plan. Users do not need to provide identity parameters, and internal identifiers should not be exposed. Remote URLs are handled by the API, so local downloading is not required.

Screenshots

Use Cases

Staff at a pet boarding store reviews daily surveillance clips to locate cage-biting, chasing, and separation-anxiety moments.
An assistant to a pet behavior trainer receives client mp4 videos and organizes scratching, chewing, and destructive behavior reports.
A smart-home engineer passes a camera public URL to the analysis script and generates structured behavior results.
A pet clinic customer service representative queries historical behavior reports and retrieves the report list from the cloud API.

Best For

A pet boarding store manager who needs to screen daily surveillance clips for abnormal behavior and keep reports.
A pet behavior trainer's assistant who needs to turn client videos into structured reports of scratching, chewing, and chasing.
A smart-home developer who wants to connect a camera URL to the analysis script and output JSON behavior results.
A pet clinic customer service representative who needs to query historical behavior report lists and open report links.