🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risks in terms of network and shell activities. While there are some concerns regarding metadata quality, these do not indicate any malicious activity.

Low network and shell risk
Metadata quality could be improved

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution detected, indicating the package does not execute system commands.
Metadata: The package shows signs of low effort and potential lack of transparency, but lacks clear indicators of malicious intent.

📦 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

14 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-scenario-cockpit

Your task is to develop a user-friendly web application that allows researchers and analysts to compare different scenarios based on evidence collected from various sources. This application will utilize the 'agi-page-scenario-cockpit' package, which provides essential components for building such a comparison tool. Here’s a detailed breakdown of what your application should achieve:

1. **Scenario Management**: Users should be able to create, edit, delete, and view scenarios. Each scenario should have a title, description, and a set of associated evidence items.
2. **Evidence Comparison**: Implement a feature where users can input multiple pieces of evidence related to each scenario. These pieces of evidence could include images, documents, or links. The application should then allow users to compare these pieces of evidence side by side, highlighting similarities and differences.
3. **Visualization Tools**: Integrate visualization tools that help users better understand the data. For example, you could use charts or graphs to represent statistical data or timeline views to show the progression of events.
4. **User Interface**: Design an intuitive and responsive UI that enhances the user experience. Consider adding features like drag-and-drop functionality for easy manipulation of evidence items.
5. **Collaboration Features**: Allow multiple users to work on the same scenario simultaneously. Users should be able to comment on specific pieces of evidence, suggest changes, and vote on the validity of evidence.
6. **Security Measures**: Ensure that sensitive information is protected. Implement user authentication and authorization to restrict access to specific scenarios or evidence items.
7. **Integration with 'agi-page-scenario-cockpit'**: Utilize the 'agi-page-scenario-cockpit' package to streamline the development process. Specifically, leverage its components for scenario management, evidence comparison, and visualization tools. Refer to the package documentation to understand how to integrate these functionalities effectively into your application.

Your goal is to create a comprehensive, yet simple-to-use application that significantly aids in scenario analysis and decision-making processes. Focus on making the app as interactive and engaging as possible while ensuring it meets the core requirements of scenario and evidence management.