🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risks across all assessed categories with no indications of malicious behavior. The metadata risk slightly increases due to the maintainer having only one package, but overall, the package appears safe.

Low network and shell execution risks
No obfuscation or credential harvesting detected
Metadata risk due to single-package maintainer

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires network functionality.
Shell: No shell execution detected, which is normal unless the package's intended functionality involves system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has only one package, which may indicate a new or less active account.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (1709 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

○ Low Type Annotations 1.0

No type annotations detected

No type annotations, py.typed marker, or stub files detected

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 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: algorand.foundation

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Algorand Foundation" 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 algokit-utils

Your task is to develop a small but fully-functional application called 'AlgoWallet' using the Python package 'algokit-utils'. This application will serve as a simple wallet interface for the Algorand blockchain, allowing users to create wallets, send transactions, and view their balance and transaction history.

### Step-by-Step Guide:
1. **Setup**: Begin by setting up your Python environment and installing the necessary packages including 'algokit-utils'. Make sure to include any other dependencies that might be required for your project.
2. **Create Wallets**: Implement functionality to generate new Algorand wallets. Use 'algokit-utils' to facilitate this process efficiently.
3. **Transaction Sending**: Allow users to send Algos (the native currency of Algorand) from one wallet to another. Ensure that you handle all aspects of the transaction creation, signing, and broadcasting using 'algokit-utils'.
4. **Balance Checking**: Integrate a feature that lets users check their current balance on the Algorand network. Use 'algokit-utils' to interact with the Algorand indexer API to retrieve this information.
5. **Transaction History**: Provide an option for users to view their transaction history. Utilize 'algokit-utils' to query the indexer API for historical transactions related to a specific address.
6. **Security Measures**: Incorporate basic security measures such as encryption for sensitive data and secure handling of private keys. While 'algokit-utils' may not directly provide these features, ensure that your implementation is secure and follows best practices.
7. **User Interface**: Develop a simple command-line interface (CLI) for interacting with your application. Alternatively, if you're more comfortable, you could opt for a basic web interface using Flask or Django, but this is optional.
8. **Documentation**: Write clear documentation for both end-users and developers. Explain how to install and use the application, as well as how to integrate it into larger projects.

### Suggested Features:
- **Real-time Balance Updates**: Display real-time updates of the user's balance without requiring them to manually refresh the interface.
- **Error Handling**: Implement robust error handling to gracefully manage potential issues like invalid inputs, network errors, etc.
- **Backup and Restore**: Allow users to back up their wallet details and restore them if needed.
- **Multi-currency Support**: If time permits, extend the application to support other tokens besides Algos.

### Utilizing 'algokit-utils':
Throughout the development process, leverage 'algokit-utils' for its utilities that simplify common tasks in Algorand development, such as wallet generation, transaction handling, and indexer interactions. Your goal is to demonstrate proficiency in using this package while building a practical and user-friendly application.