Multimodal Pet Health Engine
v1.1.0Transforms mmWave radar data into pet health metrics by detecting micro-movements, fusing environmental data, and enabling automatic spatial adjustments.
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byMilesXiang@spacesq
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name, description, SKILL.md, and code all describe a DSP pipeline that synthesizes mmWave IF phase data, filters and FFTs it, visualizes results, and prints a semantic intent for downstream orchestration. This aligns with a pet-health analytics skill. One point to note: the manifest claims a 'universal adapter for mainstream mmWave radars', but the shipped code intentionally synthesizes data and contains no hardware interface (UART/driver) or device discovery — the SKILL.md explicitly documents this for cloud/sandbox use. That difference may be surprising to users expecting immediate hardware integration.
Instruction Scope
Instructions ask to install scientific Python packages and run skill.py. The SKILL.md and code operate on synthesized data, write an output PNG into a local s2_pet_health_vault directory, and print a human-readable intent string. The instructions do not direct the agent to read unrelated files, environment variables, or send data to external endpoints. Be aware that the printed intent is described as something that would be piped to an orchestrator in a full local deployment — the current code only prints it.
Install Mechanism
No binary downloads or remote installers; install is via 'pip install -r requirements.txt' for numpy, scipy, matplotlib (standard PyPI packages). This is expected for a DSP/visualization Python tool. Installing PyPI scientific packages has normal supply-chain risk but is proportionate to the stated functionality.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The code only reads cwd and creates a local directory for outputs. No secrets or unrelated service credentials are requested or used.
Persistence & Privilege
always:false and user-invocable. The skill writes report PNGs under ./s2_pet_health_vault and prints to stdout; it does not modify other skills, system settings, or persist configuration beyond its own output files. This scope of filesystem use is proportionate to its purpose.
Assessment
This skill appears internally consistent and implements a simulated mmWave DSP pipeline that generates visual reports and prints an S2 intent string. Before installing:
- If you expect real hardware support, note the code deliberately synthesizes radar data and contains no hardware I/O — real-device integration would require additional driver/interface code.
- Run it in an isolated environment (virtualenv/container) because it installs numpy/scipy/matplotlib and writes files to ./s2_pet_health_vault.
- Review the printed intent and do NOT pipe its stdout directly into any actuator/orchestrator until you audit that integration; in a local deployment a downstream connector could act on the 'PET_CARE_OVERRIDE' message and change HVAC/lighting.
- If you require networked or production automation, ask the author for documented hardware interfaces and secure authentication; currently no credentials are requested and there are no network calls in the shipped code.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.