🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe due to low risks across all assessed categories, including network, shell, obfuscation, and credential risks. The only notable concern is the lack of metadata, such as an author's name and a GitHub repository.

Low risk scores across all technical categories.
Lack of author information and repository link.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package's functionality requires external communications.
Shell: No shell execution patterns detected, indicating the package does not attempt to execute commands on the host system.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret theft.
Metadata: The package lacks an author's name and a GitHub repository, suggesting it may be less maintained or trustworthy.

🔬 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

Email domain looks legitimate: protonmail.com>

✓ 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 acrresolv

Create a command-line utility named 'AcroSolve' using Python that leverages the 'acrresolv' package to resolve acronyms into their full forms. The utility should be able to handle multiple acronyms at once, provide definitions, and even suggest possible meanings based on context. Here are the steps and features you need to implement:

1. **Setup**: Begin by installing the 'acrresolv' package and setting up your Python environment.
2. **User Input**: Allow users to input one or more acronyms they wish to resolve. Ensure the utility accepts inputs through command-line arguments or standard input.
3. **Resolution Process**: Use 'acrresolv' to resolve each acronym provided by the user. Implement error handling to manage cases where an acronym might not have a known definition.
4. **Output**: Display the resolved acronym along with its definition(s). If there are multiple possible meanings, list them all. Provide additional information like the source of the definition if available.
5. **Context Suggestion**: For ambiguous acronyms, offer suggestions based on common usage contexts (e.g., technical, medical, business).
6. **Logging & History**: Maintain a log of queries made by the user for future reference. This feature could be optional and toggled by a command-line flag.
7. **Testing & Documentation**: Write unit tests for your code to ensure reliability and maintainability. Create a README file detailing how to install and use 'AcroSolve', including examples.
8. **Enhancements**: Consider adding features like saving frequently queried acronyms to a personal dictionary, integrating with external APIs for more comprehensive data, or allowing users to contribute new acronyms and definitions.