eldercare-fall-detect
eldercare-fall-detect is an Embedded, IoT & robotics skill for AI agents, published by nclamvn in the bom-cham repository on GitHub. Skillspace rates eldercare-fall-detect D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Phát hiện bà ngã bằng 2 layer: Layer 1: Aqara FP2 native fall detection entity (nếu firmware hỗ trợ) Layer 2: AI pattern — motion spike rồi bất động đột ngột (> 5 phút) Khi phát hiện → TTS hỏi bà xác nhận → chờ 30 giây → nếu bà không trả lời → trigger SOS Level 2. Đối tượng: Người cao tuổi cần chăm sóc, nằm giường.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 26
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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