🤖 AI Analysis

Final verdict: SAFE

The package shows low risk indicators with no evidence of malicious activities or supply-chain attacks. It uses standard practices for API clients and has minimal metadata risk.

Network risk is low due to proper handling of API calls.
No shell execution risks identified.

Per-check LLM notes

Network: The use of a session object with retries is common for making robust API calls and does not inherently indicate malicious activity.
Shell: No shell execution patterns were detected, indicating no immediate risk from this aspect.
Metadata: The maintainer has only one package, which may indicate a new or less active account, but there are no other suspicious flags.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

session""" session = requests.Session() self.retry_for_session(session, self._status_force

✓ 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: mail.muni.cz

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository 3scale-qe/3scale-api-python appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Peter Stanko" 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 3scale-api

Create a Python-based command-line tool that allows users to manage their services hosted on 3scale.net. This tool should leverage the '3scale-api' Python package to interact with the 3scale API Management platform. Your application should include the following functionalities:

1. User Authentication: Allow users to log in using their 3scale credentials.
2. Service Listing: Retrieve and display a list of all services associated with the user’s account.
3. Service Details: Provide the ability to view detailed information about a specific service, including metrics and access control settings.
4. Metric Management: Enable users to add, update, and delete custom metrics within a service.
5. Application Key Generation: Allow the generation of new application keys for a selected service.
6. Usage Reports: Fetch and display usage reports for a specified period for any service.
7. Custom Error Handling: Implement proper error handling to provide meaningful feedback to the user when operations fail.
8. Help and Documentation: Include comprehensive help documentation and examples for each command available in the tool.

Utilize the '3scale-api' package to perform all interactions with the 3scale API. Ensure your application is well-structured, modular, and follows best practices for Python development. Additionally, consider adding unit tests to validate the functionality of your tool.