🤖 AI Analysis

Final verdict: SAFE

The package shows no direct evidence of malicious behavior, with low risks across all categories. However, the metadata quality is poor, suggesting potential issues with maintenance or transparency.

No network calls detected
Low maintainer activity

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution detected, which is normal as Python packages typically do not execute shell commands unless explicitly designed to do so.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some signs of low maintainer activity and poor metadata quality, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (1.2/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

○ Low Documentation 1.0

No documentation detected

No documentation URL, doc files, or meaningful description found

○ 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

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 4.0

2 maintainer concern(s) found

Author "julik" 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 apkmirror-dl

Create a Python-based command-line application named 'APKFetcher' that leverages the 'apkmirror-dl' package to download APK files from APKMirror. This application should allow users to search for specific apps, automatically detect the latest version available on APKMirror, and download it directly to their local machine. Additionally, include the following features:

1. User-friendly interface with clear prompts for input.
2. Ability to specify a version number if the user wants to download a particular version of the app instead of the latest one.
3. Option to save the downloaded APK file to a user-specified directory.
4. Error handling for scenarios such as network issues, invalid inputs, or when the specified app does not exist on APKMirror.
5. Logging functionality to record actions performed by the application, including successful downloads and any errors encountered.
6. An option to check for updates of installed apps by comparing the current version with the latest version available on APKMirror.
7. A help menu that explains all available commands and options.

The 'apkmirror-dl' package will be utilized primarily for searching and downloading APK files. It will handle the communication with APKMirror's servers and manage the process of finding and downloading the desired APK files. Ensure that your application integrates smoothly with 'apkmirror-dl', making use of its core functionalities while providing a comprehensive set of features for end-users.