AI Analysis
The package has moderate network and shell risks, with significant metadata issues suggesting potential unreliability. While direct malicious intent is not evident, the combination of factors raises concerns about its safety.
- moderate network risk
- potential shell misuse
- poor metadata quality
Per-check LLM notes
- Network: Network calls are likely for downloading necessary resources or updates.
- Shell: Shell execution is suspicious and may indicate the package is intended to run external commands like aria2c, but requires careful scrutiny to ensure it's not being misused.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows several red flags including a missing repository, low maintainer activity, and poor metadata quality, indicating potential risk.
Package Quality Overall: Low (4.2/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "documentation" -> https://github.com/Row0902/aria2#readmeDetailed PyPI description (9538 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
64 type-annotated function signatures detected in source
Could not retrieve contributor data from GitHub
GitHub API error: 404
Heuristic Checks
Found 3 network call pattern(s)
wnloading {url} …") req = urllib.request.Request(url, headers={"Accept": "application/octet-stream"})ream"}) try: with urllib.request.urlopen(req, timeout=timeout) as resp: zip_path.t) self._client = httpx.AsyncClient(timeout=timeout) async def send_request(self, method: s
No obfuscation patterns detected
Found 4 shell execution pattern(s)
ATH") or "aria2c" which = subprocess.run(["which", aria2c], capture_output=True, text=True, check=Falcret: {args.secret}") subprocess.run(cmd, check=False) else: print(f"🍃 Starting arial+C to stop") proc = subprocess.Popen( cmd, stdout=sys.stdout,ind_binary() result = subprocess.run( [str(binary), "--version"], capture_output=True
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: users.noreply.github.com>
All external links appear legitimate
Repository not found (deleted or private)
Repository not found (deleted or private)
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully functional download manager mini-app using the 'aria2-sdk' Python package. This app should allow users to manage their downloads efficiently by leveraging the asynchronous capabilities of aria2-sdk for handling multiple downloads simultaneously. Here’s a detailed breakdown of the project requirements: 1. **Setup**: Begin by installing the 'aria2-sdk' package. Ensure you have a basic understanding of JSON-RPC and WebSocket interactions as these are key components of the SDK. 2. **Core Functionality**: Implement core functionalities such as adding URLs for downloading files, pausing and resuming downloads, and canceling downloads. Use the async capabilities of 'aria2-sdk' to handle these operations concurrently without blocking the main thread. 3. **User Interface**: Develop a simple yet intuitive command-line interface (CLI) for interacting with your download manager. Users should be able to input commands like 'add', 'pause', 'resume', and 'cancel' followed by relevant arguments. 4. **Event Handling**: Utilize the WebSocket event capabilities of 'aria2-sdk' to notify users about the progress of their downloads, completion status, and any errors encountered during the download process. For instance, display messages when a download starts, progresses, or completes. 5. **Advanced Features**: Optionally, include advanced features such as prioritizing downloads, setting download limits per connection, and managing download directories. These features should enhance the user experience and make the download manager more versatile. 6. **Testing**: Thoroughly test the application under various conditions to ensure reliability and efficiency. Consider edge cases such as network interruptions, server unavailability, and large file downloads. 7. **Documentation**: Provide comprehensive documentation detailing how to install and use the download manager, including setup instructions, usage examples, and troubleshooting tips. This project aims to demonstrate the power and flexibility of 'aria2-sdk' in building robust and efficient download management solutions. It will serve as a practical example of how to integrate and utilize third-party SDKs in Python applications.
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