AI Analysis
Final verdict: SAFE
The package shows minimal risks across all checked categories, with only metadata indicating a slight concern about author transparency.
- No network calls detected
- No shell execution patterns
- Sparse author information
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author's information is sparse, suggesting a potential lack of transparency or a new/inactive maintainer.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: tensorspace.ai>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository agentcures/refua appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with ClawCures
Create a patient care management system using the 'ClawCures' Python package. This system will streamline the process of managing patient care campaigns, integrating OpenClaw planning capabilities with refua-mcp execution to ensure efficient and effective healthcare delivery. Your task is to develop a mini-application that allows healthcare providers to create, manage, and track patient care plans. The application should include the following core functionalities: 1. **Campaign Creation**: Allow users to define new patient care campaigns, specifying details such as campaign name, start date, end date, and target patient groups. 2. **Planning & Scheduling**: Utilize OpenClaw's planning features to schedule treatments, appointments, and follow-ups for patients within the campaign. Ensure that the scheduling is optimized to minimize conflicts and maximize resource utilization. 3. **Execution Tracking**: Implement a feature to track the execution of planned activities using refua-mcp execution capabilities. This includes marking activities as completed, noting any deviations from the plan, and logging relevant data points. 4. **Reporting & Analytics**: Provide tools for generating reports and analytics based on the executed campaigns. Users should be able to view performance metrics, identify trends, and make data-driven decisions to improve future campaigns. 5. **User Management**: Include basic user management features such as user registration, login, role-based access control, and profile management. To achieve these functionalities, you will need to utilize the 'ClawCures' package effectively. Specifically, leverage its campaign orchestration layer to handle the creation and management of campaigns, and use its integration with OpenClaw and refua-mcp to plan and execute patient care activities efficiently. Additionally, consider how you might extend the functionality of 'ClawCures' through custom modules or plugins to better suit specific healthcare needs.