ait-native

v0.10.6 suspicious
4.0
Medium Risk

ait native local repository, sync, review, policy, landing, and PostgreSQL-ready runtime prototype

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some concerning signs such as shell execution capabilities and low maintainer activity, though no concrete evidence of malicious behavior was found.

  • Shell execution capability present
  • Low maintainer activity
Per-check LLM notes
  • Network: No network calls detected, which is normal and not indicative of malicious activity.
  • Shell: Shell execution is present but without context on what commands are being run, it's hard to determine if it's malicious. However, it might indicate potential risks if the commands are used improperly.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
  • Metadata: The package shows low maintainer activity and poor metadata quality, but there are no clear signs of malicious intent.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (16592 chars)
○ 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

  • 506 type-annotated function signatures detected in source
○ 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 score 4.0

Found 2 shell execution pattern(s)

  • try: completed = subprocess.run(command, cwd=path_value, env=env, capture_output=True, text=
  • -json", ] completed = subprocess.run( command, cwd=repo_root, env=env,
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 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with ait-native
Create a mini-application named 'AITSyncManager' that leverages the 'ait-native' package to manage and synchronize local repositories with a remote server. This application will serve as a bridge between your local development environment and a central repository, ensuring that all changes are tracked, reviewed, and applied according to specified policies. Additionally, it will integrate seamlessly with PostgreSQL databases to store metadata about the repositories and their synchronization status.

Step-by-Step Instructions:
1. Setup the Project Environment: Initialize a new Python project and install the 'ait-native' package along with any necessary dependencies for PostgreSQL database interaction.
2. Define Repository Management Functions: Implement functions within the application to create, update, delete, and list repositories. These functions should utilize the 'ait-native' package's capabilities for repository operations.
3. Synchronization Mechanism: Develop a feature that periodically checks for updates in the remote repositories and synchronizes them locally based on predefined policies. Use 'ait-native' to handle the synchronization process, including conflict resolution and version control.
4. Review and Approval Workflow: Integrate a simple review and approval workflow where changes from the remote repositories need to be reviewed before being applied locally. Utilize 'ait-native' for reviewing and approving changes according to the defined policies.
5. PostgreSQL Integration: Set up a PostgreSQL database to store information about the repositories managed by the application, such as their names, URLs, last synchronized date, and synchronization status. Use 'ait-native' to ensure that the database interactions are efficient and secure.
6. User Interface: Design a basic command-line interface (CLI) for interacting with the application, allowing users to perform actions like syncing repositories, checking synchronization status, and managing repositories.
7. Documentation: Provide comprehensive documentation explaining how to set up and use the 'AITSyncManager' application, including examples of how to configure it for different use cases.

Suggested Features:
- Support for multiple users with different access levels.
- Automated notifications for synchronization events and policy violations.
- Detailed logging of all actions performed by the application.
- Ability to customize synchronization policies and workflows.
- Integration with popular version control systems (e.g., Git).

By utilizing the 'ait-native' package, the 'AITSyncManager' application aims to provide a robust, flexible, and scalable solution for managing and synchronizing repositories across different environments.

💬 Discussion Feed

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