AI Analysis
Final verdict: SAFE
The package appears safe with no detected network calls, shell executions, obfuscations, or credential risks. However, there are some minor metadata concerns.
- No network calls
- No shell execution
- No obfuscation
- No credential harvesting
- Low activity repository and missing author name
Per-check LLM notes
- Network: No network calls detected, which is normal for a package focused on SQLite memory operations.
- Shell: No shell execution patterns detected, aligning with expectations for a database management library.
- 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 a missing name and a low activity repository, but no concrete evidence of malicious intent.
Package Quality Overall: Low (4.6/10)
✦ High
Test Suite
9.0
Test suite present — 2 test file(s) found
Test runner config found: pyproject.toml2 test file(s) detected (e.g. test_provider.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (7719 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
9 type-annotated function signatures (partial)
○ Low
Multiple Contributors
2.0
Single-author or unverifiable project
1 unique contributor(s) across 6 commits in Bucha11/axor-memory-sqliteSingle author with few commits — possibly a personal or throwaway project
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
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
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 axor-memory-sqlite
Create a simple task management application using Python that leverages the 'axor-memory-sqlite' package for its backend data storage. This app will allow users to add, view, update, and delete tasks stored in memory via SQLite. The application should have a user-friendly command-line interface (CLI) where users can interact with their tasks easily. Steps to follow: 1. Set up your Python environment and install the necessary packages including 'axor-memory-sqlite'. 2. Initialize the SQLite memory database using 'axor-memory-sqlite' to store task information such as title, description, due date, and status. 3. Develop functions to add new tasks, retrieve all tasks, update existing tasks, and delete tasks based on their unique identifiers. 4. Implement a CLI that allows users to interact with these functions through commands like 'add', 'list', 'update', and 'delete'. Each command should accept appropriate parameters to perform the desired action. 5. Enhance the application by adding error handling to ensure that invalid inputs or operations are gracefully managed. 6. Optionally, add features like searching for tasks by keywords in the title or description, filtering tasks by status (e.g., completed, pending), and sorting tasks by due date. 7. Test the application thoroughly to ensure all functionalities work as expected and the data integrity is maintained even when the application is closed and reopened. 8. Document your code and provide instructions on how to run the application. Remember, the goal is to demonstrate proficiency in using 'axor-memory-sqlite' for in-memory data storage while building a useful and interactive task management tool.
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