arkilian

v1.0.0 suspicious
3.0
Low Risk

Arkilian - SQLite wrapper with automated cloud backup

πŸ€– AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network, shell execution, obfuscation, and credential handling. However, the metadata risk score is elevated due to the maintainer's inexperience and lack of a package description, raising suspicion.

  • New maintainer with only one package
  • Lack of package description
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communications.
  • Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer appears to be new and has only one package, which could indicate potential risk but lacks clear evidence of malintent.

πŸ“¦ Package Quality Overall: Low (2.0/10)

β—‹ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
β—‹ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
β—‹ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
β—‹ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
β—ˆ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 89 commits in CodeDynasty-dev/birth-of-Arkilian
  • Single author but highly active (89 commits)

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

No author email provided

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

Repository CodeDynasty-dev/birth-of-Arkilian appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released β€” brand new package
  • Author "CodeDynasty-dev" appears to have only 1 package on PyPI (new or inactive account)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with arkilian
Your task is to develop a simple yet powerful contact management application using Python, leveraging the 'arkilian' package which provides an enhanced SQLite database interface with automated cloud backup capabilities. This application will allow users to manage their contacts efficiently while ensuring data safety through seamless cloud backups. Here’s a detailed guide on how to proceed:

1. **Application Overview**: The application should provide basic CRUD (Create, Read, Update, Delete) operations for managing contacts. Each contact record must include fields such as name, email, phone number, and address.
2. **Database Setup with Arkilian**: Utilize the 'arkilian' package to set up a local SQLite database for storing contact information. Ensure that you configure the package to automatically back up the database to a cloud storage service of your choice (e.g., AWS S3, Google Cloud Storage).
3. **User Interface**: Design a simple command-line interface (CLI) for interacting with the application. The CLI should offer commands like `add`, `list`, `update`, and `delete` for managing contacts.
4. **Data Validation**: Implement validation checks to ensure that user inputs for each field are valid before saving them to the database.
5. **Cloud Backup Configuration**: Configure the 'arkilian' package to handle regular backups of the SQLite database to the cloud. Consider setting up a schedule for automatic backups or triggering backups after certain operations (like adding or updating a contact).
6. **Error Handling and Logging**: Incorporate robust error handling mechanisms and logging to capture any issues during database operations or cloud backup processes. Logs should be stored locally and also backed up to the cloud alongside the database.
7. **Security Considerations**: Since the application deals with personal data, ensure that all sensitive information is handled securely. Use appropriate encryption methods when storing data and transmitting it to the cloud.
8. **Testing**: Develop a suite of tests to validate the functionality of your application, including the correctness of CRUD operations and the reliability of the cloud backup mechanism.
9. **Documentation**: Provide clear documentation on how to install and run the application, including setup instructions for the cloud storage service and any required API keys.

By following these steps, you’ll create a functional, secure, and reliable contact management tool that leverages the power of SQLite databases and cloud storage, all managed through the 'arkilian' package.

πŸ’¬ Discussion Feed

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