Veterinary Clinic Bundle

This bundle appears to implement the described vet-clinic features, but be aware of these issues before installing: - Missing declared credentials: The package metadata says no env vars required, but the code/config expect several secrets (DEEPSEEK_API_KEY, SMS_API_KEY/SMS_API_SECRET, WECHAT_APP_ID/WECHAT_APP_SECRET, optional DB_PASSWORD). Ask the publisher to update the registry to list required env vars before providing keys. - Third‑party data flow: If you set an LLM provider API key (DeepSeek/Qwen/OpenAI) or enable SMS/WeChat, user messages and medical symptom details will be sent to those external services. Only use API keys for providers you trust and ensure that sending clinical or personal data to them complies with your privacy/legal requirements. - Run in an isolated/test environment first: The bundle creates a local SQLite DB and starts a web service. Test on a non-production host and inspect logs/traffic to ensure no unexpected outbound endpoints. - Review code for integration endpoints: Confirm the external endpoints (e.g., https://api.deepseek.com) are legitimate and acceptable for your data policy. If you need to avoid external LLMs, run with no API key so the code falls back to local/template behavior. - Ask for provenance: Source/homepage is 'unknown' but README references a GitHub repo and support email; verify the project repository and author identity before trusting production data. What would raise confidence: explicit registry declaration of required env vars, a published source repository (with commit history and maintainer info), and a privacy statement clarifying what data is sent to which third parties. If you want, I can: (1) list every point in code where an outbound network call is made, (2) extract all environment variable names the code reads, or (3) suggest minimal config settings to run the app offline (no external APIs).