🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows no immediate signs of malicious activity such as shell execution or credential harvesting. However, the metadata risk score is high due to the untraceable repository and limited maintainer history, which raises suspicion.

High metadata risk due to untraceable repository and limited maintainer history
Moderate network risk requiring further investigation

Per-check LLM notes

Network: The presence of network calls is not unusual but requires further investigation to ensure it's not used for unauthorized data transmission.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting secure handling of secrets.
Metadata: The repository is not found, and the maintainer has limited history, raising concerns about potential malicious intent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

meout self._session = requests.Session() self._session.headers.update({ "Conten

✓ 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 4.0

2 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "Agent Grid Protocol 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 agent-grid-protocol-core

Create a Python-based mini-application that serves as an efficient and user-friendly interface for managing autonomous AI API quotas and token exchanges using the 'agent-grid-protocol-core' package. This application will enable users to interact with an AI service provider's ecosystem, facilitating seamless management of their API usage and token transactions.

The application should include the following core functionalities:
1. User Authentication: Allow users to securely log in and manage their credentials.
2. API Quota Management: Display current API usage statistics and allow users to monitor their remaining quota.
3. Token Exchange: Provide a feature where users can exchange tokens for additional API access when their quota is exceeded.
4. Transaction History: Maintain a record of all past transactions for auditing purposes.
5. Notifications: Implement a system to notify users about critical events such as low quota alerts or successful token exchanges.

To achieve these functionalities, you will utilize the 'agent-grid-protocol-core' package which provides essential tools for interacting with the autonomous AI API quota and token exchange services. Your task is to integrate this package into your application, ensuring it can handle user requests efficiently and securely.

Additionally, consider adding extra features such as:
- A graphical user interface for better user experience.
- Integration with popular cloud storage services for backing up transaction history.
- Advanced analytics for providing insights into API usage patterns.

Your goal is to create a comprehensive solution that showcases the capabilities of the 'agent-grid-protocol-core' package while providing real-world value to end-users.