🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits minimal risks in terms of network, shell, obfuscation, and credential usage but has a notable metadata risk due to its novelty and lack of a linked repository. This combination raises concerns about potential supply-chain attacks.

Low metadata quality
No linked GitHub repository

Per-check LLM notes

Network: The observed network call patterns are typical for packages that require interaction with external services or APIs, indicating legitimate functionality rather than malicious activity.
Shell: No shell execution patterns were detected, suggesting there is no risk associated with executing system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package is new with low metadata quality and lacks a linked GitHub repository, raising suspicion.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

} try: with httpx.Client(timeout=15.0) as client: resp = client.post(url,
, } try: with httpx.Client(timeout=timeout) as client: if method.upper() ==

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 8.0

4 maintainer concern(s) found

Only one version has ever been released — brand new package
Package is very new: uploaded 3 day(s) ago
Author "Christopher Emerson" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agentadmit

Create a mini-application named 'AIAssistantHub' that leverages the 'agentadmit' package to manage user-mediated AI agent authorization within a variety of applications. This application will serve as a platform where users can create, manage, and authorize different AI agents to perform specific tasks on their behalf across various apps. Here’s a detailed breakdown of what the application should include:

1. **User Registration and Login**: Implement a secure registration and login system allowing users to create accounts and log in securely.
2. **AI Agent Management**: Users should be able to create, edit, delete, and view details of their AI agents. Each agent can have a unique name, description, and a set of permissions defined by the user.
3. **Application Integration**: Allow users to integrate their AI agents with different applications (e.g., email clients, social media platforms). For each integration, the user must grant permission to the AI agent to access specific functionalities of the chosen app.
4. **Authorization Workflow**: Utilize the 'agentadmit' package to implement a seamless workflow where users authorize AI agents to interact with integrated applications. This includes generating authorization requests, displaying them to the user for review, and handling the user's decision.
5. **Activity Log**: Maintain an activity log for each user detailing actions performed by their AI agents, including successful authorizations and task executions.
6. **Security Measures**: Ensure all interactions with the 'agentadmit' package are handled securely, protecting user data and ensuring that only authorized agents can perform tasks.
7. **UI/UX Design**: Develop a clean, intuitive UI/UX design that makes it easy for users to manage their AI agents and applications.
8. **Documentation**: Provide comprehensive documentation explaining how to use the application and the 'agentadmit' package effectively.

The application should demonstrate the core functionality of 'agentadmit', showcasing how user-mediated authorization can enhance security and control over AI agents within multi-application environments.