Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
- Improved input validation: now accepts only video attachments or downloadable HTTPS video URLs. - Added explicit rejection of local file paths and private/local URLs for video input. - Updated documentation to clarify input requirements and workflow steps. - No code changes in this release (documentation update only).
What This Skill Does
Runs a body measurement scan from a video sent in Telegram. The agent collects gender, height, and phone model, submits the video to AnthroVision, polls for results, and returns structured measurements with a waist-to-hip summary.
Automates the full submit-poll-report cycle inside Telegram so users get structured measurements without switching apps or manually checking scan status.
When to use it
- Getting body measurements from a phone-recorded video
- Tracking body composition changes over time
- Providing measurements for custom clothing orders
- Fitness progress documentation without manual measuring
- Remote body assessment without in-person appointments
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Here's my video. I'm male, 180cm, recorded on iPhone 14 Pro.
- 1Confirm all required inputs are present: gender, height_cm, phone_model, and video
- 2Request explicit consent before processing the body-scan video
- 3Call anthrovision_bridge_submit_scan with the provided inputs
- 4Send acknowledgement with scan_id and expected check timing
- 5Poll anthrovision_bridge_check_scan every 10-15 seconds until complete
- 6Return grouped measurements and waist-to-hip ratio summary
Structured list of body measurements including waist-to-hip summary, formatted with bullet points
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.