AI Analysis
Final verdict: SUSPICIOUS
The package shows minimal risks in terms of network, shell, obfuscation, and credential handling. However, the metadata risk score is elevated due to the unavailability of the repository and the maintainer's single package history, raising concerns about its legitimacy.
- No detected risks in network, shell, obfuscation, or credential handling.
- Elevated metadata risk due to missing repository and single-package maintainer.
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
- Metadata: The repository is not found and the maintainer has a single package, indicating potential lack of transparency and legitimacy.
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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "AgentMark Team" 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 agentmark-claude-agent-sdk-v0
Create a personalized travel planner mini-app using the 'agentmark-claude-agent-sdk-v0' package. This app will leverage the capabilities of the Claude Agent SDK integrated via AgentMark to provide users with tailored travel recommendations based on their preferences and requirements. Hereβs a step-by-step guide on how to develop this app: 1. **Setup Project Environment**: Begin by setting up your Python environment. Ensure you have Python installed along with the necessary libraries including 'agentmark-claude-agent-sdk-v0'. You might also want to include other dependencies such as Flask for web development. 2. **Design User Interface**: Develop a simple yet user-friendly interface where users can input their travel details like destination, dates, budget, and interests. Use HTML/CSS for styling and JavaScript for dynamic interactions. 3. **Integrate 'agentmark-claude-agent-sdk-v0'**: Utilize the 'agentmark-claude-agent-sdk-v0' package to connect with the Claude Agent SDK. This integration will allow you to send user inputs directly to the Claude Agent, which processes these inputs and returns personalized travel suggestions. 4. **Develop Backend Logic**: Implement backend logic using Python and Flask. This involves handling form submissions from the frontend, passing data to the Claude Agent SDK via the 'agentmark-claude-agent-sdk-v0', and receiving responses to display on the app. 5. **Implement Travel Recommendations**: Based on user inputs, the Claude Agent SDK will generate recommendations for activities, accommodations, dining options, etc. Ensure these recommendations are displayed dynamically on the app. 6. **Add Additional Features**: Consider adding extra functionalities such as saving favorite destinations, sharing recommendations via email/SMS, and providing real-time weather updates for the selected destination. 7. **Testing & Deployment**: Thoroughly test your application to ensure all features work correctly. Once satisfied, deploy your application to a platform like Heroku or AWS for public access. By following these steps, you'll create a unique and useful travel planning tool that leverages the power of AI through the 'agentmark-claude-agent-sdk-v0' package.