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Elderly Fall Detection Skill | 老人跌倒检测技能
by
smyx-skills
· GitHub ↗
· v1.0.0
· MIT-0
72
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Install in OpenClaw
/install smyx-elderly-fall-detection-analysis
Description
Utilizes vision and radar technology for contactless detection of falls. It triggers alarms within seconds and is suitable for home safety monitoring of elde...
Usage Guidance
This skill will upload images/videos to remote analysis servers and will create and modify local files (attachments, config YAMLs, and a SQLite DB in your workspace). It also mixes an api-key/config-based flow with an open-id concept (the SKILL.md instructs reading api-key as open-id), which is confusing. Before installing or running: 1) Verify the remote API base URL(s) in skills/smyx_common/scripts/config.yaml and confirm you trust that third party to receive sensitive video data. 2) Expect the skill to save uploaded files and a local DB under your OPENCLAW_WORKSPACE; run in an isolated/sandboxed workspace if you want to limit persistence. 3) Do not provide sensitive identifiers or real user IDs unless you understand how they are used; prefer temporary/test data first. 4) If you require true privacy-preserving local-only detection, this skill is not coherent with that goal because it sends media to external services. 5) If you need higher assurance, review skills/smyx_common/scripts/util.py (RequestUtil) to confirm exactly where and how network requests are sent, and consider running the code in a controlled environment or modifying it to use a trusted/local inference endpoint.
Capability Analysis
Type: OpenClaw Skill
Name: smyx-elderly-fall-detection-analysis
Version: 1.0.0
The skill bundle exhibits high-risk behavior by including a wrapper for 'subprocess.run' in 'skills/smyx_common/scripts/skill.py' that allows the skill to programmatically invoke the 'openclaw' agent with arbitrary prompts. The 'SKILL.md' file contains aggressive prompt-steering instructions ('Mandatory Memory Rules') that forbid the agent from accessing local memory, forcing reliance on external APIs at 'lifeemergence.com'. Furthermore, 'RequestUtil' in 'util.py' automatically performs remote user registration and stores authentication tokens in a local SQLite database ('smyx-common-claw.db') based on user-provided identifiers like phone numbers, which poses privacy and security risks.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description (elderly fall detection) matches code that calls remote analysis APIs and performs fall/pose analysis. However the bundle includes large shared modules (skills/smyx_common and skills/face_analysis) and a local SQLite DAO that go beyond a minimal detector implementation — suggesting reuse of a broad platform rather than a single focused tool. The included face-analysis module is related but not strictly necessary for a narrow fall-detection task.
Instruction Scope
The SKILL.md and scripts require uploading user-supplied images/videos to a remote API (via RequestUtil.http_post) and mandate querying cloud history endpoints; they also automatically save uploaded attachments into an attachments directory. The README explicitly forbids reading local memory files but requires reading config files from the skill and workspace. The skill therefore reads/writes local files and transmits possibly sensitive video data to external servers — behavior that expands the scope (privacy and network exfiltration) beyond what a purely local detector would do.
Install Mechanism
No install spec (instruction-only) which reduces install-time risk. However the repository includes a large requirements.txt in smyx_common listing many heavy dependencies that would be needed to run the code; lack of an install spec means dependency installation/verification is left to the user/environment and could be overlooked or cause unexpected package installs.
Credentials
The skill declares no required env vars, but the code reads/writes configuration and uses OPENCLAW_WORKSPACE and OPENCLAW_SENDER_OPEN_ID if present; it will also accept API keys/open-id values and use them when calling remote APIs. SKILL.md instructs using the api-key field in local config as an open-id (confusing and inconsistent: api-key is not usually an identifier). The skill transmits uploaded media to third-party endpoints (base URLs present in common config), so sensitive data and identifiers may be sent off-host despite privacy claims.
Persistence & Privilege
Although not always-enabled, the skill writes local files: it will save uploaded attachments under the skill directory, create/configure YAML config files (YamlUtil will create missing config.yaml), and create/use a SQLite DB under a workspace 'data' directory via the Dao implementation. This persistent local footprint (and automatic creation/modification of config files) is more privilege than a purely transient analysis tool and should be accepted intentionally.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install smyx-elderly-fall-detection-analysis - After installation, invoke the skill by name or use
/smyx-elderly-fall-detection-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of "elderly-fall-detection-analysis" skill.
- Enables contactless fall detection for seniors using vision and radar technology, with second-level alarm triggering.
- Strict privacy: no wearable devices required; no local memory read; all history queries must go through cloud API.
- Provides structured detection reports, automatic monitoring, and emergency recommendations for home safety.
- Enforces secure open-id acquisition before any report access or analysis.
- Supports image/video input, historical report queries via cloud, and detailed Markdown report table output.
Metadata
Frequently Asked Questions
What is Elderly Fall Detection Skill | 老人跌倒检测技能?
Utilizes vision and radar technology for contactless detection of falls. It triggers alarms within seconds and is suitable for home safety monitoring of elde... It is an AI Agent Skill for Claude Code / OpenClaw, with 72 downloads so far.
How do I install Elderly Fall Detection Skill | 老人跌倒检测技能?
Run "/install smyx-elderly-fall-detection-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Elderly Fall Detection Skill | 老人跌倒检测技能 free?
Yes, Elderly Fall Detection Skill | 老人跌倒检测技能 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Elderly Fall Detection Skill | 老人跌倒检测技能 support?
Elderly Fall Detection Skill | 老人跌倒检测技能 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Elderly Fall Detection Skill | 老人跌倒检测技能?
It is built and maintained by smyx-skills (@18072937735); the current version is v1.0.0.
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