🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity with very low risks across all categories except for metadata, which suggests the maintainer might be new or less experienced.

No network calls detected
No shell execution patterns found

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require internet access.
Shell: No shell execution patterns detected, indicating the package likely does not execute external commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer seems new and the package lacks detailed metadata, suggesting low effort.

🔬 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 "Mario S. Könz" 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 admem

Develop a memory management utility called 'MemoryGuard' using the Python package 'admem'. This utility will help users monitor and optimize their system's memory usage. Your task is to create a command-line interface (CLI) tool that provides real-time monitoring of memory usage, alerts when memory usage exceeds a certain threshold, and offers suggestions on how to optimize memory usage based on the current workload.

Step-by-Step Instructions:
1. Set up a virtual environment for your project.
2. Install the 'admem' package using pip.
3. Create a main script that initializes the CLI interface.
4. Use 'admem' to fetch real-time memory usage data.
5. Implement a feature that allows users to set a threshold for memory usage.
6. Integrate alert notifications when the memory usage surpasses the set threshold.
7. Develop an optimization module that suggests actions based on the current memory usage and workload.
8. Ensure the application logs all activities for future reference and analysis.
9. Test the application under various conditions to ensure reliability and accuracy.
10. Document the code thoroughly and provide instructions for installation and usage.

Suggested Features:
- Real-time graphing of memory usage over time.
- Historical data storage for trend analysis.
- Integration with popular cloud services for remote monitoring.
- Customizable alerts via email or SMS.
- Detailed reports on memory leaks and recommendations for fixing them.

How to Utilize 'admem':
- Use 'admem' to periodically scan the system's memory status.
- Leverage its capabilities to analyze memory patterns and predict potential issues.
- Implement its advanced functions to manage and allocate memory more efficiently.

Your goal is to create a robust, user-friendly tool that empowers users to maintain optimal system performance through effective memory management.