AI Analysis
Final verdict: SAFE
The package has minimal risk indicators with no network calls, shell executions, or credential risks. The metadata risk is slightly elevated due to low-effort signs, but there are no clear malicious activities.
- Low metadata quality
- No detected malicious patterns
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network functionality.
- Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized system access.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some low-effort signs, but lacks clear malicious indicators.
Package Quality Overall: Low (1.2/10)
○ 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
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ 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 "Your Name" 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 amirtha-mytoolkit
Develop a fully-functional mini-app that serves as a personal task manager using the 'amirtha-mytoolkit' Python package. This app will help users manage their daily tasks efficiently, allowing them to add, delete, update, and view tasks. Additionally, it should support categorizing tasks into different lists such as 'Work', 'Home', 'Personal', etc., and prioritize tasks based on urgency and importance. The app should also include a feature to set reminders for upcoming tasks using simple notifications or emails. Utilize 'amirtha-mytoolkit' to handle the core functionalities of task management, including data storage, manipulation, and retrieval. Consider implementing a user-friendly command-line interface (CLI) for interacting with the app. Your goal is to create a practical, efficient tool that demonstrates the capabilities of 'amirtha-mytoolkit' while providing real-world value to its users.