AI Analysis
Final verdict: SAFE
The package has minimal risks associated with network, shell execution, obfuscation, and credential handling. However, it exhibits some uncertainty regarding its active development and community support.
- Minimal risk in critical areas
- Potential inactivity or lack of community support
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution detected, indicating the package does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of potential inactivity or lack of community support, but there's no clear evidence of malicious intent.
Package Quality Overall: Low (2.2/10)
○ 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 (2853 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
2.0
Single-author or unverifiable project
1 unique contributor(s) across 10 commits in licyk/aria2-next-binSingle author with few commits — possibly a personal or throwaway project
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
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 aria2-next
Your task is to create a command-line tool called 'AriaDL' using Python that leverages the 'aria2-next' package to download files from various sources such as HTTP, FTP, and BitTorrent. This tool should be user-friendly, robust, and capable of handling multiple downloads simultaneously. Step 1: Set up your development environment with Python and install the 'aria2-next' package. Step 2: Design the command-line interface to accept URLs for downloading files, specifying options such as output file name, download directory, and maximum number of connections per server. Step 3: Implement functionalities like resuming paused downloads, listing ongoing and completed downloads, and canceling ongoing downloads. Step 4: Add support for downloading files from BitTorrent trackers, ensuring that you handle .torrent files correctly. Step 5: Enhance the tool by adding logging capabilities to track download progress and errors. Features: - Ability to specify multiple URLs for simultaneous downloads. - Option to set custom output file names and directories. - Support for resuming interrupted downloads. - Listing of all active and completed downloads. - Cancellation of ongoing downloads. - Handling of BitTorrent files. - Detailed logging for tracking download progress and issues. The 'aria2-next' package will be utilized primarily through its API to initiate and manage downloads, handle file streams, and manage connections. Ensure that your implementation is efficient and adheres to best practices in Python programming.