AI Analysis
Final verdict: SUSPICIOUS
The package has low immediate execution risks but raises concerns due to its metadata indicating recent creation and lack of detailed maintainer information.
- Metadata risk score is high due to incomplete maintainer details.
- Package appears recently created, raising suspicion about its legitimacy.
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external API interactions.
- Shell: No shell executions detected, indicating the package does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of being newly created and lacks detailed maintainer information, which raises suspicion.
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: izusoft.tech>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository created very recently: 4 day(s) ago (2026-06-01T19:52:23Z)
Repository created very recently: 4 day(s) ago (2026-06-01T19:52:23Z)
Maintainer History
score 8.0
4 maintainer concern(s) found
Only one version has ever been released — brand new packagePackage is very new: uploaded 2 day(s) agoAuthor 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 aaep-anthropic-sdk-producer
Create a conversational AI assistant named 'AAEP-Anthropic-Helper' using the Python package 'aaep-anthropic-sdk-producer'. This mini-app will serve as a bridge between the user and an advanced AI agent hosted on Anthropic, enabling users to engage in natural language conversations with the AI, receive personalized responses, and perform specific tasks based on user inputs. The app will feature a simple command-line interface (CLI) for ease of use and interaction. Step-by-step guide: 1. Set up your development environment with Python installed. 2. Install the required packages including 'aaep-anthropic-sdk-producer', ensuring you have the latest version available. 3. Design a CLI where users can input commands or questions to the AI assistant. 4. Utilize the 'aaep-anthropic-sdk-producer' package to initialize the connection to the Anthropic AI agent and pass user inputs through. 5. Implement logic within the app to interpret user inputs, send them to the AI agent via the SDK, and display the AI's responses back to the user. 6. Add error handling to manage any issues that may arise during the communication process. 7. Enhance the app by adding features such as saving conversation history, allowing users to switch between different AI personalities, and providing feedback mechanisms to improve future interactions. 8. Test the app thoroughly to ensure it functions correctly and provides a smooth user experience. 9. Document the setup process, usage instructions, and any additional tips or tricks for users. Suggested Features: - Save and load previous conversations for continuity. - Enable users to select from multiple AI personalities/styles for varied interactions. - Offer a feedback loop where users can rate responses, helping to refine the AI's performance over time. - Provide options for users to customize their interaction settings, such as response length or formality level. - Include basic security measures to protect user data and privacy. How 'aaep-anthropic-sdk-producer' is utilized: The 'aaep-anthropic-sdk-producer' package acts as the primary interface for communicating with the Anthropic AI agent. It handles the initialization of the connection, manages the sending and receiving of messages, and ensures that all communications adhere to the Anthropic API standards. By leveraging this package, developers can focus on building the user interface and interaction logic, rather than dealing with the complexities of direct API integrations.