AI Analysis
The package exhibits low individual risks but has some metadata red flags, including an author with no details and a low activity repository, which raises concerns about its legitimacy.
- Author has no details provided
- Repository shows low activity
Per-check LLM notes
- Network: No network calls suggest normal behavior for a package focused on local string matching.
- Shell: No shell execution attempts indicate the package is not designed to execute arbitrary commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some red flags such as an author with no details and a low activity repository, but there's no direct evidence of malicious intent.
Package Quality Overall: Low (4.4/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (9021 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Limited contributor diversity
2 unique contributor(s) across 100 commits in andreygubarev/arnmatchTwo distinct contributors found
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: andreygubarev.com>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based command-line utility called 'ARN Inspector' that leverages the 'arnmatch' package to parse and analyze AWS ARNs. This tool will help users understand the structure of ARNs, validate them against AWS standards, and extract useful information such as service, region, account ID, resource type, and specific resource identifiers. The utility should include the following features: 1. **ARN Parsing**: Automatically parse an input ARN string and display its components. 2. **Validation**: Check if the provided ARN is valid according to AWS conventions. 3. **Resource Information Extraction**: For valid ARNs, extract and display detailed information about the associated AWS resource types and their attributes. 4. **CloudFormation Compatibility Check**: Verify if the parsed ARN can be used directly within AWS CloudFormation templates. 5. **Tagging API Compliance**: Validate if the ARN adheres to the tagging requirements specified by the AWS Tagging API. 6. **Interactive Mode**: Allow users to input multiple ARNs and receive detailed reports on each one. 7. **Help Documentation**: Provide comprehensive documentation and examples for common use cases. The 'arnmatch' package will be central to this utility, providing the necessary mappings and parsing logic for over 2100 AWS resource types. Users will benefit from this tool by gaining a deeper understanding of ARNs and ensuring they comply with AWS best practices.
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