AI Analysis
Final verdict: SUSPICIOUS
The package shows minimal risk in terms of network, shell, and obfuscation activities. However, the maintainer's metadata raises concerns due to a new or inactive account with limited history.
- New or inactive maintainer account
- Limited package history and missing author information
Per-check LLM notes
- Network: No network calls detected, which is normal for a utility package like aiocsv focused on CSV processing.
- Shell: No shell execution patterns detected, aligning with the expected behavior of a benign library.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a new or inactive account with limited package history and missing author information, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (6.6/10)
✦ High
Test Suite
9.0
Test suite present — 5 test file(s) found
5 test file(s) detected (e.g. test_dialects.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (12978 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
7.0
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project50 type-annotated function signatures detected in source
✦ High
Multiple Contributors
8.0
Active multi-contributor project
4 unique contributor(s) across 100 commits in MKuranowski/aiocsvSmall but multi-author team (3–4 contributors)
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: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository MKuranowski/aiocsv appears legitimate
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 aiocsv
Create a fully functional mini-application that allows users to asynchronously read from and write to CSV files using the 'aiocsv' package. The application should have the following functionalities: 1. **User Interface**: Develop a simple command-line interface (CLI) where users can interact with the application. 2. **Reading CSV Files**: Implement a feature that allows users to input the path of a CSV file and asynchronously read its contents. The application should display the data in a formatted manner. 3. **Writing to CSV Files**: Users should be able to input data (rows) which will then be asynchronously written to a specified CSV file. Ensure that the application handles headers properly if they don't already exist in the file. 4. **Error Handling**: Implement robust error handling to manage issues such as invalid file paths, missing headers when writing data, or other common I/O errors. 5. **Async Operations**: Since 'aiocsv' supports asynchronous operations, ensure that all interactions with CSV files are done asynchronously to take advantage of this feature. 6. **Additional Features**: Consider adding extra functionality like filtering rows based on user-defined criteria before displaying them, or allowing users to specify custom delimiters when reading/writing CSV files. Your task is to design and implement this mini-application using Python and the 'aiocsv' library. Focus on making the code clean, efficient, and well-documented. Provide instructions on how to run the application and any necessary setup steps.
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