🤖 AI Analysis

Final verdict: SUSPICIOUS

The package LDTk v1.8.6 is flagged for potential typosquatting targeting 'nltk'. Despite showing low risks in network, shell, and obfuscation categories, the metadata risk score is elevated due to the new maintainer with limited history.

Potential typosquatting targeting nltk
New maintainer with limited history

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no immediate risk of command injection or unauthorized system access.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows signs of potential typosquatting and has a new maintainer with limited history.
⚠ Typosquatting target: nltk

🔬 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 score 6.0

Possible typosquat of: nltk, cdk

"LDTk" is 2 edit(s) from "nltk"
"LDTk" is 2 edit(s) from "cdk"

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository hpparvi/ldtk 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 LDTk

Create a mini-application named 'StellarLightProfiler' using Python and the LDTk package. This application will simulate and visualize the limb darkening effect of stars as seen through various telescopic filters. The user interface should be simple yet informative, allowing astronomers and enthusiasts to input star parameters such as temperature, radius, and distance from Earth, along with filter specifications like passband width and central wavelength.

Core Features:
1. Input Interface: Users can input star parameters and select from a predefined list of common astronomical filters.
2. Calculation Engine: Utilize LDTk to compute the limb darkening profile based on the user inputs.
3. Visualization Tool: Display the computed limb darkening profile graphically, showing how brightness varies across the star's surface under different filters.
4. Export Functionality: Allow users to export the calculated limb darkening profile data and the visualization plot as CSV and PNG files respectively.
5. Documentation: Provide clear instructions on how to use each feature of the application, including explanations of the underlying physics and mathematics involved in limb darkening calculations.

In developing 'StellarLightProfiler', ensure to integrate LDTk seamlessly into the application workflow by leveraging its functions to handle complex stellar limb darkening computations. This will enable users to explore how different stars appear under various observing conditions, enhancing their understanding of stellar observations and analysis.