Security checks across static analysis, malware telemetry, and agentic risk
This skill is framed as plant nutrient analysis, but its artifacts show broad cloud media upload, account-linked history access, automatic account/token handling, and reused human-health analysis components that need review before installation.
Install only if you are comfortable sending plant images/videos or supplied media URLs plus account identifiers to the publisher's cloud service. Do not provide a phone number or reuse an API key as an open-id unless the publisher explains why it is needed, how accounts are created, where tokens are stored, and how reports and uploaded media can be deleted. The package should be revised to use a real PyYAML dependency, narrow its endpoints to hydroponic analysis only, remove human-health/face-analysis leftovers, and add explicit consent for cloud upload and history lookup.
if filters:
for key, value in filters.items():
query = query.filter(getattr(self.__model__, key) == value)
if offset:
query = query.offset(offset)if filters:
for key, value in filters.items():
query = query.filter(getattr(self.__model__, key) == value)
return query.scalar()
finally:VirusTotal findings are pending for this skill version.