AI Analysis
Final verdict: SAFE
The package algomancy-scenario v0.8.2 poses minimal risk based on the analysis notes. It does not engage in any risky behaviors such as making network calls, executing shell commands, or obfuscating code.
- No network calls detected
- No shell execution detected
- No obfuscation patterns found
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, reducing risk of direct system compromise.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
Package Quality Overall: Low (2.0/10)
○ 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 (2240 chars)
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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
Email domain looks legitimate: cqm.nl>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Author "Pepijn Wissing" 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 algomancy-scenario
Your task is to develop a Python-based mini-application named 'ScenarioSimulator' that leverages the 'algomancy-scenario' package to manage various scenarios for a fictional business strategy game. This application will allow users to create, edit, simulate, and analyze different strategic scenarios based on user-defined parameters. Here’s a detailed breakdown of what your application should accomplish: 1. **Scenario Creation**: Users should be able to define new scenarios with customizable parameters such as market size, competition level, customer segments, etc. 2. **Scenario Editing**: Provide functionality to modify existing scenarios. This includes changing any parameter values and adding/removing parameters. 3. **Scenario Simulation**: Implement a simulation feature where the application runs through the scenario using predefined algorithms to predict outcomes. Utilize 'algomancy-scenario' to manage these simulations effectively. 4. **Outcome Analysis**: After each simulation, provide an analysis of the results. Include visualizations like graphs or charts to help users understand the impact of different parameters on the outcome. 5. **Scenario Comparison**: Allow users to compare multiple scenarios side by side to see which strategies perform better under certain conditions. 6. **User Interface**: While the primary focus is on the backend logic, consider implementing a simple command-line interface (CLI) for users to interact with the application. 7. **Documentation**: Ensure that your code is well-documented, explaining how 'algomancy-scenario' is integrated into the application. In utilizing the 'algomancy-scenario' package, you should demonstrate its capabilities in managing complex scenarios, handling different data types, and integrating seamlessly with other Python libraries for data analysis and visualization.