🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network activity, shell execution, and obfuscation. However, its minimal metadata and lack of an associated GitHub repository increase suspicion.

Minimal metadata and no associated GitHub repository
Newly uploaded package

Per-check LLM notes

Network: No network calls suggest normal operation without external communication.
Shell: No shell executions indicate the package does not execute system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package is newly uploaded with minimal metadata and no associated GitHub repository, which raises some suspicion but not conclusive evidence of malice.

🔬 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 6.0

3 maintainer concern(s) found

Package is very new: uploaded 1 day(s) ago
Author "Agent Guard" 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 actaclad-agentguard

Create a Python-based monitoring tool named 'GuardWatch' that leverages the 'actaclad-agentguard' package to provide real-time observability into the health and performance of various services running within a local network environment. This tool will serve as a simple yet powerful dashboard for system administrators to monitor critical metrics such as CPU usage, memory consumption, network traffic, and disk space across multiple servers or containers. Additionally, it should have the capability to send alerts via email or SMS when any of these metrics exceed predefined thresholds.

Step-by-Step Instructions:
1. Set up a virtual environment for your project and install the necessary packages, including 'actaclad-agentguard'.
2. Define a configuration file where users can specify which services they want to monitor, along with their thresholds for alerting.
3. Implement a function using 'actaclad-agentguard' to periodically collect data from each service according to the specified intervals.
4. Design a user-friendly interface (either CLI or web-based) that displays the collected data in real-time, showing trends over time and current status.
5. Integrate an alerting mechanism that triggers based on the configured thresholds, sending notifications via email or SMS.
6. Ensure the tool is scalable and can handle multiple concurrent connections without significant performance degradation.
7. Write comprehensive documentation detailing how to set up and use the tool, including examples of common configurations.

Suggested Features:
- Ability to customize alert thresholds per monitored service.
- Support for different types of notification channels (email, SMS, Slack).
- Historical data storage for trend analysis.
- User authentication and role-based access control for multi-user environments.
- Integration with popular logging frameworks for centralized log management.

How 'actaclad-agentguard' is Utilized:
- Use 'actaclad-agentguard' to establish secure connections with the target services and gather required metrics.
- Leverage its observability capabilities to monitor the health and performance of each service continuously.
- Employ 'actaclad-agentguard' for anomaly detection by comparing real-time data against historical patterns and configured thresholds.
- Utilize 'actaclad-agentguard' to manage alerts, ensuring that only relevant and actionable information is communicated to the users.