Outdoor Sports Event Risk Analysis Tool
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Please install @user_bb47e3e3/sport-analysis into your AI assistant according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem Solved
In marathons, trail races, and other outdoor events, participants may fall, sustain abrasions, feel chest tightness, become dizzy, or show abnormal gait. These risks are often detected late by manual monitoring and are hard to archive as reusable reports. This skill turns sports-safety video review and historical report lookup into structured analysis output.
How It Works
- Input: accepts local
mp4,avi, andmovfiles or network URLs, with a maximum file size of10MB. - Risk dimensions: fall severity, open wounds, cardiopulmonary discomfort, dizziness and fatigue, running posture, heat, cold, terrain, sprains, and related injuries.
- Workflow: provide
--inputor--url, runscripts/sport_analysis.py, select--analysis-type, and receive risk levels, abnormal records, recommendations, and report links. - History lookup: use
--listto query cloud report data and render a Markdown table.
Boundaries
The output is for sports-safety reference only and does not replace medical diagnosis. For severe symptoms such as chest pain, inability to stand, or heavy bleeding, stop activity immediately and seek professional care. Identity parameters are handled internally by the system; users do not need to provide or display them.
Use Cases
- An operations team receives marathon footage and needs to log falls, abrasions, and sudden discomfort.
- A volunteer passes a sub-10MB trail race URL to the script and requests posture and risk output.
- A safety lead queries recent cloud sports-risk reports and formats a date-filtered Markdown table.
- Race medical staff review bleeding, dizziness, and first-aid suggestions after a race incident.
Best For
- Marathon operations staff who need to turn race footage into reviewable safety reports.
- Race safety teams who need to detect falls, wounds, and discomfort with risk notes.
- Race medical staff who need risk levels, abnormal symptoms, and first-aid suggestions.
- Data analysts who need to query cloud historical reports and compile tables.
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