altimate-core

v0.5.0 suspicious
5.0
Medium Risk

Type-check your SQL. No database required.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risk for direct threats like network calls or shell execution, but the lack of metadata and sparse maintainer information raises concerns about its legitimacy.

  • Metadata risk due to sparse maintainer information
  • No associated GitHub repository
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate signs of malicious activities.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has no associated GitHub repository and the maintainer's information is sparse, which raises some concerns about its legitimacy.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 3 type-annotated function signatures (partial)
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 altimate-core 
Create a Python-based command-line tool named 'SQLValidator' that leverages the 'altimate-core' package to validate the syntax and type correctness of SQL queries without needing to connect to an actual database. This tool will be particularly useful for developers who want to ensure their SQL scripts are error-free before deploying them into production environments. Here are the steps and features you need to implement:

1. **Setup Environment**: Begin by setting up a virtual environment and installing the necessary packages, including 'altimate-core'. Ensure all dependencies are listed in a requirements.txt file.
2. **User Input**: Design the tool to accept SQL queries as input either through command line arguments or by reading from a specified file.
3. **Validation Logic**: Implement the core functionality using 'altimate-core'. The tool should parse the SQL query and check its syntax and data types for correctness according to SQL standards. Provide feedback on any errors found during validation.
4. **Output Feedback**: Display a clear and concise summary of the validation process to the user. Highlight any errors, warnings, or successful validations.
5. **Advanced Features** (optional):
   - Support for multiple SQL dialects (e.g., MySQL, PostgreSQL).
   - Option to save the validation results to a log file.
   - Interactive mode where users can continuously test queries without exiting the program.
6. **Testing**: Write unit tests to cover various scenarios, including valid and invalid SQL queries across different types of errors.
7. **Documentation**: Provide comprehensive documentation on how to install, use, and extend the tool.
8. **Deployment**: Package the application for distribution via PyPI or similar platforms.

By following these guidelines, you'll create a robust, user-friendly tool that significantly enhances the development workflow for those working with SQL.

💬 Discussion Feed

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