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Safe Driving Behavior Analyzer

Data Analysis Updated 2026.08.29

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Please follow https://skillhub.cn/install/skillhub.md and install @user_bb47e3e3/drive-analysis.

About this skill

What It Solves

Manually reviewing driving footage is often inconsistent for spotting key risks such as fatigued driving, distracted driving, and seatbelt misuse. This skill targets motor vehicle driving scenarios: given a local video file or a public URL, it produces a structured report, detection results, risk notes, and report links. It is useful for traffic safety education and technical demos of video-based driving behavior analysis.

How It Works

The core workflow is:

  • Video input: accepts a local file path or network URL; supported formats are mp4, avi, and mov, with a 10MB maximum. Public URLs are downloaded by the API service by default.
  • Analysis: runs the built-in drive_analysis script from the skill root, with optional types such as comprehensive, fatigue, distraction, seatbelt, and risk.
  • Report output: returns Markdown-readable results, including risk levels, driving behavior observations, recommendations, and report links.
  • History lookup: uses --list to query cloud-stored reports; the report list is fetched from the API only, not from local memory or manually aggregated records.

Scope And Notes

The tool is for traffic safety education reference and does not replace professional driver training. User identity parameters are handled internally and are not shown, requested, or required from the user. Historical reports must be queried through the cloud API and rendered as a Markdown table from the returned JSON. Use the skill’s own scripts and avoid creating temporary replacement scripts.

Use Cases

  • Instructors review student footage and create fatigue feedback reports.
  • Fleet managers check seatbelts and dangerous driving in driver clips.
  • Trainers list historical driving analysis reports for course review.
  • Engineers test URL-based driving video analysis outputs for demos.

Best For

  • Instructors: flag fatigue and seatbelt issues in student footage.
  • Fleet managers: review driver clips and generate risk reports.
  • Safety trainers: list past reports for course reviews.
  • Engineers: validate URL-based driving analysis outputs.