AI Analysis
The package exhibits some potential risks that require closer scrutiny, particularly concerning subprocess execution. The maintainer's novelty and the absence of PyPI classifiers add to the uncertainty.
- Shell risk due to subprocess execution
- New maintainer with no PyPI classifiers
Per-check LLM notes
- Network: No network calls detected, which is typical for many packages.
- Shell: Subprocess execution detected, could be legitimate if documented functionality, but requires further investigation to rule out potential misuse.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
- Metadata: Low risk due to lack of suspicious activities, but caution needed as the maintainer seems new and there are no PyPI classifiers.
Package Quality Overall: Medium (5.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://ivs-kuleuven.github.io/cgse/Detailed PyPI description (992 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
131 type-annotated function signatures detected in source
Active multi-contributor project
5 unique contributor(s) across 100 commits in IvS-KULeuven/cgseActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
Found 2 shell execution pattern(s)
md.append("--simulator") subprocess.Popen(cmd, stdout=out, stderr=out, stdin=subprocess.DEVNULL, closeriel.tcu.tcu_cs", "stop"] subprocess.Popen(cmd, stdout=out, stderr=out, stdin=subprocess.DEVNULL, close
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: kuleuven.be>
All external links appear legitimate
Repository IvS-KULeuven/cgse appears legitimate
2 maintainer concern(s) found
Author "IVS KU Leuven" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based mini-application that simulates the control of a telescope using the 'ariel-tcu' package. This application will serve as a simplified version of the actual Telescope Control Unit (TCU) for the Ariel space mission, allowing users to perform basic operations such as pointing the telescope at specific celestial coordinates, adjusting focus, and capturing simulated images. The application should include the following features: 1. A user-friendly command-line interface (CLI) that allows users to input commands and see real-time status updates. 2. Integration with the 'ariel-tcu' package to simulate the telescope's movement based on user inputs. Users should be able to specify target coordinates (Right Ascension and Declination) and have the telescope point towards these targets. 3. A feature to adjust the focus of the telescope manually or automatically based on predefined algorithms. 4. Simulated image capture functionality where the application generates a mock image based on the current position and focus settings of the telescope. 5. Logging capabilities to record all actions performed by the user and any changes made to the telescope's configuration. Your task is to design and implement this mini-application from scratch. Start by setting up the development environment and installing the necessary packages, including 'ariel-tcu'. Then, develop the CLI and integrate it with the 'ariel-tcu' functionalities. Ensure that your application is well-documented and includes clear instructions for setup and usage. Additionally, write tests to validate the correctness of each feature implemented.
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