🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no evidence of malicious intent. The network and metadata risks are slightly elevated due to external interactions and a single package maintainer respectively, but these do not suggest a supply-chain attack.

network risk due to token retrieval
single package maintainer

Per-check LLM notes

Network: The presence of network calls to retrieve tokens suggests the package may be interacting with an external service, which is not inherently malicious but requires further investigation into its purpose.
Shell: No shell execution patterns detected.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
Metadata: The maintainer has only one package, which might indicate a new or less active account.

📦 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

Detailed PyPI description (4762 chars)

○ 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

424 type-annotated function signatures detected in source

✦ High Multiple Contributors 10.0

Active multi-contributor project

5 unique contributor(s) across 100 commits in AntaresSimulatorTeam/antares_craft
Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

cks_token() session = requests.Session() session.verify = self._verify if self._tok

✓ 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 AntaresSimulatorTeam/antares_craft appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Sylvain Leclerc, Tatiana Vargas, Martin Belthle, Sigurd Borge" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with antares-craft

Your task is to develop a user-friendly graphical interface application using Python's Tkinter for interacting with the 'antares-craft' package. This application will serve as a tool for managing Antares simulation studies more efficiently. Here’s a detailed breakdown of the requirements and functionalities:

1. **Application Overview**: The application should allow users to easily create, modify, and run Antares simulation studies without needing to manually interact with command-line tools or complex file structures.

2. **Features**:
- **Study Management**: Users should be able to browse, open, and save Antares study files (.zip).
- **Simulation Editing**: Provide an intuitive way to edit parameters within a study. This includes modifying input data, adjusting simulation settings, and viewing/editing output configurations.
- **Run Simulation**: Implement a feature to execute the simulation directly from the application, displaying real-time progress and completion status.
- **Visualization**: After running a simulation, display key results in visual form (charts, graphs), making it easier to interpret outcomes.

3. **Integration with 'antares-craft' Package**:
- Use 'antares-craft' to handle all operations related to reading, writing, and launching simulations. This includes loading study files, applying edits, and executing simulations.
- Ensure seamless integration so that the application feels cohesive and not just a collection of scripts using 'antares-craft'.

4. **User Interface Design**:
- Design a clean, modern UI with clear navigation between different sections of the application.
- Include tooltips, context-sensitive help, and example data sets for new users.

5. **Additional Considerations**:
- Ensure the application is robust against errors and provides meaningful feedback to users.
- Document your code thoroughly, including comments and a README file explaining setup and usage.

This project aims to streamline the process of working with Antares simulations, making it accessible to a broader audience while leveraging the powerful capabilities of 'antares-craft'.