AI Analysis
Final verdict: SAFE
The package shows minimal signs of potential risks, with no indications of shell execution, obfuscation, or credential harvesting. However, the low activity in the Git repository and the status of the maintainer's PyPI account warrant closer monitoring.
- Low activity in Git repository
- Maintainer's new or inactive PyPI account
Per-check LLM notes
- Network: The network call pattern suggests the package is setting up a session with a custom User-Agent header, which could be normal for logging or analytics purposes.
- Shell: No shell execution patterns detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent related to code obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting the package does not engage in suspicious activities related to secret harvesting.
- Metadata: The low activity in the Git repository and the maintainer's new or inactive PyPI account raise some concerns.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
meout self._session = requests.Session() self._session.headers.update({"User-Agent": "agent
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: agentbio.world
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "AgentBio.world" 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 agentbio
Create a web-based application named 'AI Guardian' using Python and the 'agentbio' package. This application will serve as a platform for users to verify the identity and reputation of AI agents they interact with online. Here’s a detailed breakdown of the steps and features required for this project: 1. **User Interface Design**: Develop a clean, user-friendly interface where users can input the URL or identifier of an AI agent they wish to verify. 2. **Verification Process**: Utilize the 'agentbio' package to perform the verification process. This involves checking the AI agent's identity and reputation through various metrics such as trust score, history of interactions, and any reported issues. 3. **Display Results**: Once the verification is complete, display the results on the web page. Include a summary of the AI agent's identity and reputation score. 4. **Integration with External Services**: Allow the application to fetch additional information from external services like social media platforms or forums where the AI agent has been active. 5. **User Feedback System**: Implement a system where users can provide feedback about their interactions with the verified AI agents, which can then be used to update the reputation scores. 6. **Security Measures**: Ensure that all data exchanges are secure and that user privacy is maintained. 7. **Documentation and Deployment**: Provide comprehensive documentation for setting up and running the application. Deploy the application to a cloud service provider for public access. Use Flask or Django for backend development and Bootstrap or Tailwind CSS for frontend styling. The 'agentbio' package will be crucial in handling the verification processes, ensuring that users can trust the AI agents they interact with.