🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no detected network, shell, or obfuscation risks. The metadata suggests a potentially new or less active developer, but there are no signs of malicious intent.

No network calls detected
No shell execution patterns
No obfuscation patterns
Single package by author

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communication.
Shell: No shell execution patterns detected, indicating the package does not execute system commands that could pose a risk.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
Metadata: The author has only one package and lacks PyPI classifiers, suggesting low effort or new/inactive status.

🔬 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

Repository yaogdu/AgentLedger appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "AgentLedger Contributors" 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 agentledger-sandbox-docker

Create a fully-functional mini-application that leverages the 'agentledger-sandbox-docker' package to manage and interact with a secure, sandboxed environment for ledger-based applications. This application will serve as a proof-of-concept for developing secure, isolated environments for financial transactions or similar ledger-based operations. Your task is to design and implement an application that includes the following key features:

1. **Sandbox Initialization**: Automatically set up a sandbox environment using the 'agentledger-sandbox-docker' package upon application startup. This environment should be isolated from the host system to ensure security.
2. **Transaction Simulation**: Allow users to simulate financial transactions within the sandboxed environment. Transactions should include basic operations like deposits, withdrawals, and transfers between accounts.
3. **Audit Log Management**: Implement a feature that logs all transactions performed within the sandbox. These logs should be accessible through the application UI and stored securely within the sandbox environment.
4. **Security Compliance Check**: Integrate a mechanism to periodically check the sandbox environment against predefined security compliance rules. Any violations should be logged and reported to the user.
5. **User Interface**: Develop a simple but intuitive web interface for users to interact with the sandbox environment, including options to view transaction history, perform new transactions, and check compliance status.
6. **Documentation**: Provide comprehensive documentation on how to install and run the application, along with instructions for setting up the 'agentledger-sandbox-docker' package.

In your implementation, make sure to utilize the 'agentledger-sandbox-docker' package effectively to demonstrate its capabilities in managing secure, isolated environments. Additionally, consider how you might extend this application in future versions to support more complex transaction types or additional compliance checks.