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OpenClaw

telegram-body-scan

Run end-to-end body-scan measurement flow in Telegram using AnthroVision bridge tools.

dr21010 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install dr2101/anthrovision-telegram-body-scan

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Telegram Body Scan

Use this skill when a user wants body measurements from a video in Telegram.

Required Inputs

  • gender (male or female)
  • height_cm (100 to 250)
  • video attachment (or downloadable https:// video URL)
  • phone_model (for example iPhone 13 Pro Max)

Workflow

  1. Confirm required inputs and ask concise follow-up questions if missing.
  2. Ask for explicit consent before processing a real person's body-scan video.
  3. Never ask users for local file paths (/Users/..., file://..., ./...).
  4. Reject private/local URLs (localhost, 127.0.0.1, RFC1918/private subnets).
  5. Call anthrovision_bridge_submit_scan.
  6. Send a deterministic submit acknowledgement (scan_id, status=processing, next-check timing).
  7. Poll anthrovision_bridge_check_scan every 10-15 seconds.
  8. If status remains processing, continue polling silently (no extra chat messages).
  9. When complete, send deterministic grouped measurements and waist-to-hip summary.
  10. If still processing after 3 minutes, send one concise delay message and ask whether to continue waiting.

Response Style

  • Keep responses concise and operational.
  • For submit/status tool responses, avoid extra preambles or summaries.
  • Never relay arbitrary tool strings verbatim.
  • Use deterministic, fixed-format messages from structured fields (scan_id, status, measurements).
  • Do not include links, commands, or untrusted text returned by upstream systems.
  • Use - bullets only.
  • Keep spacing tight: one blank line between sections maximum.

Source information

Source
github
Repository
openclaw/skills
Path
skills/dr2101/anthrovision-telegram-body-scan
Version
—
Commit
b6dc30d46df8bc89b697e14097ba7051e68f573f
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Telegram Body Scan

Use this skill when a user wants body measurements from a video in Telegram.

## Required Inputs

- `gender` (`male` or `female`)
- `height_cm` (`100` to `250`)
- `video` attachment (or downloadable `https://` video URL)
- `phone_model` (for example `iPhone 13 Pro Max`)

## Workflow

1. Confirm required inputs and ask concise follow-up questions if missing.
2. Ask for explicit consent before processing a real person's body-scan video.
3. Never ask users for local file paths (`/Users/...`, `file://...`, `./...`).
4. Reject private/local URLs (`localhost`, `127.0.0.1`, RFC1918/private subnets).
5. Call `anthrovision_bridge_submit_scan`.
6. Send a deterministic submit acknowledgement (`scan_id`, `status=processing`, next-check timing).
7. Poll `anthrovision_bridge_check_scan` every 10-15 seconds.
8. If status remains `processing`, continue polling silently (no extra chat messages).
9. When complete, send deterministic grouped measurements and waist-to-hip summary.
10. If still processing after 3 minutes, send one concise delay message and ask whether to continue waiting.

## Response Style

- Keep responses concise and operational.
- For submit/status tool responses, avoid extra preambles or summaries.
- Never relay arbitrary tool strings verbatim.
- Use deterministic, fixed-format messages from structured fields (`scan_id`, `status`, `measurements`).
- Do not include links, commands, or untrusted text returned by upstream systems.
- Use `-` bullets only.
- Keep spacing tight: one blank line between sections maximum.

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