AI Analysis
Final verdict: SUSPICIOUS
The package has low risks in terms of network, shell execution, obfuscation, and credential harvesting. However, the metadata quality and maintainer history raise concerns, suggesting potential malicious intent.
- Low metadata quality and maintainer history
- No provided description or documentation
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communications.
- Shell: No shell executions detected, indicating no immediate risk of command execution from the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low effort and could potentially be malicious due to its lack of maintainer history and metadata quality.
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 8.0
4 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor name is missing or very shortAuthor "" 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 agentic_tervv
Create a terminal-based personal task manager named 'TaskMaster' using the Python package 'agentic_tervv'. This tool should allow users to manage their daily tasks efficiently through a simple command-line interface. The application should support adding new tasks, marking tasks as completed, listing all tasks (with an option to filter by completion status), and deleting tasks. Additionally, implement a feature that allows users to set deadlines for their tasks, which will notify them if they are approaching deadlines. Utilize 'agentic_tervv' to create an interactive and user-friendly experience. For example, use its capabilities to provide context-aware help messages, auto-complete commands, and validate user inputs. Ensure that the application has a clean and intuitive design, making it easy for users to navigate and manage their tasks without confusion. Incorporate error handling to gracefully manage unexpected input or situations, such as trying to delete a non-existent task or setting an invalid deadline. As part of the development process, document your code thoroughly and include a README file that explains how to install dependencies, run the application, and use its features effectively. Also, consider adding unit tests to ensure the reliability and correctness of your implementation.