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.
npx skills add nclamvn/openclawvn --skill eldercare-monitorgit clone --depth 1 https://github.com/nclamvn/openclawvnWrote 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.
[](https://agentmods.dev/skills/nclamvn/openclawvn/eldercare-monitor)<a href="https://agentmods.dev/skills/nclamvn/openclawvn/eldercare-monitor"><img src="https://agentmods.dev/badge/skills/nclamvn/openclawvn/eldercare-monitor/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.
<a href="https://agentmods.dev/skills/nclamvn/openclawvn/eldercare-monitor"><img src="https://agentmods.dev/badge/skills/nclamvn/openclawvn/eldercare-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00095 | $0.02414 |
| Opus 5 | $0.00048 | $0.01207 |
| Sonnet 5 | $0.00019 | $0.00483 |
| Haiku 4.5 | $0.00010 | $0.00241 |
Grade A, and why
eldercare-monitor 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Eldercare Monitor — Giám sát bà nội
Skill này chạy mỗi 5 phút (cron), đọc sensors từ Home Assistant, phân tích tình trạng bà, và gửi cảnh báo nếu phát hiện bất thường.
Khi được trigger (mỗi 5 phút)
Bước 1: Đọc sensors từ Home Assistant
Dùng tool home_assistant với action get_state để đọc từng entity:
| Entity ID | Ý nghĩa | Cách đọc |
|---|---|---|
binary_sensor.grandma_room_presence |
mmWave: có người trong phòng? (on/off) | get_state |
sensor.grandma_room_motion_minutes |
Số phút từ lần cử động cuối | get_state |
sensor.grandma_room_temperature |
Nhiệt độ phòng (°C) | get_state |
sensor.grandma_room_humidity |
Độ ẩm (%) | get_state |
binary_sensor.grandma_room_camera_motion |
Camera thấy cử động? (on/off) | get_state |
Nếu bất kỳ sensor nào không available hoặc trả lỗi, log warning và bỏ qua sensor đó. Tiếp tục với sensors còn lại.
Bước 2: Xác định context thời gian
Lấy giờ hiện tại theo timezone Asia/Ho_Chi_Minh (UTC+7):
- Giờ ngủ đêm: 22:00 - 06:00
- Giờ ngủ trưa (nap): 13:00 - 15:00
- Giờ hoạt động: Tất cả giờ còn lại (06:00-13:00 và 15:00-22:00)
Có thể adjust giờ nap nếu memory có eldercare_nap_pattern.
Bước 3: Phân tích và phân loại 4 mức
Đọc sensor.grandma_room_motion_minutes (gọi tắt: motion_min) và binary_sensor.grandma_room_presence (gọi tắt: presence).
Mức BÌNH THƯỜNG — Không hành động, chỉ log:
motion_min< 30 (bà vừa cử động gần đây)- HOẶC: Đang trong giờ ngủ đêm (22h-6h) VÀ
presence= on - HOẶC: Đang trong giờ nap (13h-15h) VÀ
presence= on
Mức CHÚ Ý — Gửi Zalo cho contact ưu tiên #1:
motion_min> 30, đang trong giờ hoạt động, VÀpresence= on- Message:
⚠️ [Bà Nội Care] Bà bất động {motion_min} phút (lúc {giờ:phút}). Presence OK — có thể bà đang nghỉ. Nhờ kiểm tra ạ.
Mức CẢNH BÁO — Gửi Zalo TẤT CẢ contacts + camera snapshot:
motion_min> 60, đang trong giờ hoạt động- HOẶC:
presence= off liên tục > 2 giờ trong khung 6h-22h - Message:
🔴 [Bà Nội Care] CẢNH BÁO: Bà bất động {motion_min} phút / Không phát hiện người trong phòng {X} giờ! [Ảnh camera] - Hành động thêm: Dùng tool
camsnapchụp camera snapshot, gửi ảnh kèm message
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.
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.
- 12d ago First seen · 196 lines · 95 tokens per session scan A 245597e66d1d
eldercare-monitor is a skill published in the GitHub repository nclamvn/openclawvn (56 stars, last pushed 6mo ago), licensed MIT. It adds 95 tokens to every session and 2,414 once invoked, about $0.0005 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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