AI Analysis
The package shows no immediate signs of malicious activity, but its recent creation and lack of historical context raise concerns about potential supply-chain risks.
- New package with limited history
- Low risk in direct execution and network activities
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external communication.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is safe.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package is new and has limited history, raising some suspicion but not conclusive evidence of malice.
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 (1469 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 β 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 β 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 distributed task management system using the 'agi-core' package. This system will allow users to submit tasks to a cluster of nodes, which will then distribute these tasks among available workers for processing. Hereβs a detailed breakdown of the project requirements and steps: 1. **Project Overview**: Your task management system will consist of a web-based user interface where users can submit tasks, a backend service that manages task distribution, and worker nodes that process these tasks. 2. **Features**: - Task Submission Form: Users should be able to submit tasks via a simple form on the web UI. Each task will have a unique identifier. - Task Status Tracking: Users should be able to track the status of their submitted tasks (queued, processing, completed). - Distributed Processing: Tasks should be distributed across multiple worker nodes for parallel processing. - Result Collection: Once tasks are processed, results should be collected back to the main server and displayed to the user. 3. **Utilizing 'agi-core' Package**: - Use 'agi-core' to set up and manage the environment for your cluster setup. - Utilize 'agi-node' for setting up individual nodes within your cluster. - Leverage 'agi-cluster' for managing the communication and coordination between different nodes in your cluster. 4. **Implementation Steps**: - Set up the development environment using 'agi-core'. - Develop the web UI for task submission and tracking. - Implement the backend service to handle task submission, distribution, and result collection. - Configure and run worker nodes using 'agi-node'. - Ensure seamless communication and coordination between nodes through 'agi-cluster'. 5. **Deliverables**: - Fully functional web application for task submission and tracking. - Backend service capable of distributing tasks across a cluster. - Worker nodes running tasks in parallel. - Documentation detailing the setup and operation of the system. 6. **Bonus Features**: - Support for task prioritization. - Automatic scaling of worker nodes based on task load. - Integration with cloud services for easier deployment.