arksim

v0.3.7 safe
3.0
Low Risk

⛵️ Know how your agent performs before it goes live.

🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risks across all assessed categories, with only minor concerns regarding network calls and maintainer metadata.

  • Low network risk
  • Incomplete maintainer profile
Per-check LLM notes
  • Network: The network calls are likely legitimate for making HTTP requests, but could be monitored to ensure they are not being used for unexpected purposes.
  • Shell: No shell execution patterns detected, which is normal and indicates no immediate risk from this aspect.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret or credential theft.
  • Metadata: The maintainer has an incomplete profile and appears to be new or inactive, which raises some concern but does not strongly indicate malicious intent.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.arklex.ai/main/overview
  • Detailed PyPI description (10826 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

  • 194 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 13 unique contributor(s) across 100 commits in arklexai/arksim
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • self._httpx_client = httpx.AsyncClient( timeout=httpx.Timeout(60.0),
  • [] self._client = httpx.AsyncClient(timeout=120) except Exception as e: log
✓ 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: arklex.ai>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository arklexai/arksim appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 arksim 
Create a simulation tool for autonomous boat navigation using the 'arksim' package. This tool will allow users to test various navigation algorithms in a controlled environment before deploying them on real boats. The application should include the following features:

1. **Environment Setup**: Users should be able to create different types of water environments such as calm seas, turbulent waters, and narrow channels. These environments should have varying levels of complexity to test the robustness of the navigation algorithms.
2. **Agent Customization**: Allow users to customize their autonomous boat agents by specifying parameters like speed, turning radius, and sensor range. Users should also be able to define the initial position and orientation of the boat within the environment.
3. **Scenario Creation**: Enable users to create different scenarios involving obstacles such as other boats, buoys, and floating debris. Scenarios should be customizable in terms of number, type, and movement patterns of obstacles.
4. **Algorithm Testing**: Implement a feature where users can input their own navigation algorithms to control the boat's movement. The algorithms should be tested against the created scenarios and environments.
5. **Performance Metrics**: Provide metrics to evaluate the performance of the navigation algorithm, including collision avoidance success rate, time taken to reach the destination, and adherence to traffic rules if applicable.
6. **Visualization**: Include a graphical user interface (GUI) that visually represents the simulation environment, the boat's path, and any collisions or near-misses.
7. **Report Generation**: After each simulation run, generate a report summarizing the performance metrics and any notable events during the simulation.

Utilize the 'arksim' package to handle the simulation logic, including the physics of boat movement, environmental interactions, and obstacle dynamics. Ensure that the tool is user-friendly and accessible to both developers and non-technical users interested in testing autonomous navigation solutions.

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