🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in terms of network usage, shell execution, and code obfuscation. However, its metadata suggests low effort and potential lack of transparency, raising suspicion about its legitimacy.

Low effort and potential lack of transparency in metadata
No significant technical risks detected

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access to function.
Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
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 potential lack of transparency, which could indicate a risk.

📦 Package Quality Overall: Low (4.6/10)

○ Low Test Suite 1.0

No test suite detected

No test files or test-runner configuration detected

◈ Medium Documentation 5.0

Some documentation present

Documentation URL: "Documentation" -> https://thalesgroup.github.io/agilab

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 5.0

Partial type annotation coverage

11 type-annotated function signatures detected in source

✦ High Multiple Contributors 10.0

Active multi-contributor project

5 unique contributor(s) across 69 commits in ThalesGroup/agilab
Active community — 5 or more distinct contributors

🔬 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

Repository ThalesGroup/agilab appears legitimate

⚠ Maintainer History score 8.0

4 maintainer concern(s) found

Only one version has ever been released — brand new package
Author name is missing or very short
Author "" 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 agi-page-relay-health

Create a fully-functional mini-application that monitors and displays the health and resilience of various network relays using the 'agi-page-relay-health' Python package. This application will serve as a dashboard tool for network administrators and engineers to quickly assess the status of their network infrastructure.

Step 1: Set up your development environment with Python installed and the 'agi-page-relay-health' package. Use pip to install the package if it's not already available.

Step 2: Design the main interface of the application where users can input the IP addresses or names of the relays they wish to monitor. Ensure there's a way to add multiple relays to the monitoring list.

Step 3: Implement functionality within the application to periodically check the health and resilience of each relay using the 'agi-page-relay-health' package. This includes checking uptime, response times, error rates, and other relevant metrics.

Step 4: Display the results of these checks in a user-friendly manner on the interface. Consider using charts, graphs, or color-coded indicators to make the information easy to understand at a glance.

Step 5: Add alerting capabilities to notify users when a relay's health falls below a certain threshold. These alerts could be sent via email, SMS, or push notifications depending on the user's preferences.

Suggested Features:
- A history log of previous health checks for each relay.
- The ability to set custom thresholds for what constitutes 'healthy' or 'unhealthy' conditions.
- Integration with external systems like Slack or PagerDuty for automated alerts.
- User authentication to restrict access to sensitive network information.

How 'agi-page-relay-health' is Utilized:
This package provides the core functions for assessing the health and resilience of network relays. Specifically, use its methods to gather data about each relay's performance, such as response times and error rates, which can then be displayed and analyzed within your application.