eldercare-videocall

eldercare-videocall is a skill for Claude Code, Codex from nclamvn/openclawvn. It costs 114 tokens per session (1,985 once invoked), scanned A, original, MIT.

A MoSCoW prioritization command that sorts project items into Must have, Should have, Could have, and Won't have categories.

In plain words
What is it for?
Use it to prioritize a project list, explain why each item belongs in its category, and summarize the expected effort distribution.
Why use it?
It makes scope decisions clearer by separating essential work from valuable, optional, or deliberately deferred work.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to prioritize a project list, explain why each item belongs in its category, and summarize the expected effort distribution.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nclamvn/openclawvn/eldercare-videocall
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add nclamvn/openclawvn --skill eldercare-videocall
Clone the repo
git clone --depth 1 https://github.com/nclamvn/openclawvn

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for eldercare-videocall

README.md
[![agentmods](https://agentmods.dev/badge/skills/nclamvn/openclawvn/eldercare-videocall/github.svg)](https://agentmods.dev/skills/nclamvn/openclawvn/eldercare-videocall)
Your own site
<a href="https://agentmods.dev/skills/nclamvn/openclawvn/eldercare-videocall"><img src="https://agentmods.dev/badge/skills/nclamvn/openclawvn/eldercare-videocall/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for eldercare-videocall

Your own site · 80×15
<a href="https://agentmods.dev/skills/nclamvn/openclawvn/eldercare-videocall"><img src="https://agentmods.dev/badge/skills/nclamvn/openclawvn/eldercare-videocall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,985 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00114 $0.01985
Opus 5 $0.00057 $0.00992
Sonnet 5 $0.00023 $0.00397
Haiku 4.5 $0.00011 $0.00198

Measured 11d ago against content hash 127329fa838a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

eldercare-videocall scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/eldercare-videocall/SKILL.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Eldercare Video Call — Kết nối gia đình với bà

Tổng quan

Video call đi qua Zalo video call trực tiếp (KHÔNG dùng SIP/WebRTC/Twilio). OpenClaw đóng vai trò điều phối: kiểm tra bà sẵn sàng, chuẩn bị phòng, và hướng dẫn gia đình thời điểm gọi.

Tablet đặt cạnh giường bà chạy Zalo đăng nhập sẵn (tài khoản Zalo bà/ông). Fully Kiosk Browser giữ Zalo foreground, màn hình luôn sẵn sàng.

Flow A: Gia đình chủ động gọi bà (on-demand)

Bước 1: Nhận intent gọi bà

Gia đình nhắn vào Zalo group hoặc chat Bờm bot:

  • "gọi bà", "gọi bà nội", "video call bà", "gọi cho bà", "muốn gọi bà"

Bước 2: Check trạng thái bà

Dùng tool home_assistant đọc sensors:

  • get_state entity binary_sensor.grandma_room_presence → có người?
  • get_state entity sensor.grandma_room_motion_minutes → phút từ cử động cuối

Quy tắc phân loại:

Bà ĐANG THỨC (motion < 15 phút): → Tiếp tục chuẩn bị phòng (Bước 3)

Bà có thể ĐANG NGỦ TRƯA (motion > 15 phút VÀ giờ 13:00-15:00): → Reply: "Bà có vẻ đang nghỉ trưa 😴 Gọi sau 15h nhé? Hay bạn muốn gọi ngay?" → Nếu gia đình reply "gọi ngay" / "gọi luôn" → tiếp tục Bước 3 → Nếu không reply → dừng

Bà ĐANG NGỦ ĐÊM (motion > 30 phút VÀ giờ 22:00-06:00): → Reply: "Bà đang ngủ rồi 🌙 Sáng mai gọi nhé?" → Chỉ tiếp tục nếu gia đình nói "khẩn cấp" / "gọi ngay"

Bà KHÔNG TRONG PHÒNG (presence = off): → Reply: "⚠️ Sensor không phát hiện người trong phòng bà. Kiểm tra lại nhé."

Bước 3: Chuẩn bị phòng bà

Nếu OK để gọi, dùng tool home_assistant thực hiện tuần tự:

3a. Bật đèn sáng vừa (không chói):

action: call_service
domain: light
service: turn_on
target_entity_id: light.grandma_room
service_data: { "brightness": 150, "color_temp_kelvin": 3000 }

3b. Tablet: Bật màn hình + mở Zalo:

Nếu có Fully Kiosk Browser REST API qua HA shell_command hoặc REST command:

action: call_service
domain: shell_command
service: tablet_screen_on

Hoặc ghi chú cho gia đình tự setup HA automation để bật tablet khi trigger.

Read the full file on GitHub · 223 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 223 lines · 114 tokens per session scan A 127329fa838a

Subscribe to this mod's changes

eldercare-videocall is a skill published in the GitHub repository nclamvn/openclawvn (56 stars, last pushed 6mo ago), licensed MIT. It adds 114 tokens to every session and 1,985 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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