AI Analysis
The package has minimal risks associated with network calls, shell execution, and obfuscation. However, the metadata risk score is elevated due to its new creation and lack of historical context, raising suspicion about potential supply-chain attack.
- Newly created package with limited history
- No prior packages from the author
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands that could pose a risk.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
- Metadata: The package is newly created with limited history and no previous packages from the author, which raises some suspicion.
Package Quality Overall: Medium (5.6/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Documentation URL: "Documentation" -> https://thalesgroup.github.io/agilabDetailed PyPI description (2373 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Active multi-contributor project
5 unique contributor(s) across 69 commits in ThalesGroup/agilabActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository ThalesGroup/agilab appears legitimate
3 maintainer concern(s) found
Only one version has ever been released — brand new packagePackage is very new: uploaded 3 day(s) agoAuthor "Jean-Pierre Morard" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully-functional mini-application named 'UAV Relay Manager' using the Python package 'agi-app-uav-relay-queue'. This application will simulate a network of unmanned aerial vehicles (UAVs) relaying data packets to ground stations. It should include the following functionalities: 1. **Network Setup**: Allow users to configure the number of UAVs and ground stations. Each UAV should have a unique identifier. 2. **Data Relay Simulation**: Simulate the process of data packets being transmitted from UAVs to ground stations through a series of relay points. Utilize the package's routing capabilities to define paths for data transmission. 3. **Delay Management**: Implement variable delays based on the distance between relay points and simulate different environmental conditions affecting the speed of data transmission. 4. **Resilience Testing**: Introduce random failures in the relay system and demonstrate how the application maintains functionality through redundancy and failover mechanisms. 5. **Real-Time Monitoring**: Provide a dashboard or console output that shows real-time status of each UAV and ground station, including packet delivery rates, current queue sizes, and any detected failures. 6. **User Interface**: Develop a simple command-line interface (CLI) for users to interact with the application, including options to start the simulation, configure parameters, and monitor performance. 7. **Documentation**: Include comprehensive documentation explaining how to install the 'agi-app-uav-relay-queue' package, set up the environment, and run the simulation. Utilize the 'agi-app-uav-relay-queue' package's core features such as routing algorithms, delay simulation, and resilience artifacts to ensure accurate and realistic behavior of the simulated UAV relay network.