telegram-body-scan
Run end-to-end body-scan measurement flow in Telegram using AnthroVision bridge tools.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install openclaw-skills-anthrovision-telegram-body-scan
Repository
Skill path: skills/dr2101/anthrovision-telegram-body-scan
Run end-to-end body-scan measurement flow in Telegram using AnthroVision bridge tools.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: openclaw.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install telegram-body-scan into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/openclaw/skills before adding telegram-body-scan to shared team environments
- Use telegram-body-scan for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: telegram-body-scan
description: Run end-to-end body-scan measurement flow in Telegram using AnthroVision bridge tools.
---
# 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.
---
## Skill Companion Files
> Additional files collected from the skill directory layout.
### _meta.json
```json
{
"owner": "dr2101",
"slug": "anthrovision-telegram-body-scan",
"displayName": "AnthroVision Telegram Body Scan",
"latest": {
"version": "1.0.4",
"publishedAt": 1770924902765,
"commit": "https://github.com/openclaw/skills/commit/a46bafae3e1cfbac950a8e9f5104754e147e16d4"
},
"history": [
{
"version": "1.0.3",
"publishedAt": 1770841854689,
"commit": "https://github.com/openclaw/skills/commit/80f5df4156454d90a367058e37ed97304d7c5f3b"
}
]
}
```