🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal risks associated with network usage, shell execution, and code obfuscation. However, the lack of effort in maintaining metadata and its recent creation raise some suspicion.

Low effort in metadata maintenance
Recently created package

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 direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package appears to be newly created with low effort in maintaining metadata, raising some suspicion.

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Only one version has ever been released — brand new package
Author "jiuwu9792" 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 SurfaceTreatment

Create a mini-application called 'SurfaceAnalyzer' that leverages the 'SurfaceTreatment' package to analyze and treat surfaces based on input parameters. The application should allow users to input various surface characteristics such as material type, roughness, and treatment requirements. The app will then use the 'SurfaceTreatment' package to simulate different treatment processes and provide recommendations on the best treatment method based on the provided data.

Step 1: Set up the basic structure of the 'SurfaceAnalyzer' application. This includes creating a main function that initializes the user interface where users can input surface data.

Step 2: Integrate the 'SurfaceTreatment' package into your application. Ensure that you are able to call functions from this package to perform surface analysis and treatment simulations.

Step 3: Develop a feature within 'SurfaceAnalyzer' that allows users to select from predefined material types (e.g., metal, plastic, glass). Based on the selected material, the application should adjust its treatment recommendations accordingly.

Step 4: Implement functionality that takes into account the roughness of the surface. Users should be able to specify the roughness level, and the application should use this information to determine the appropriate treatment method.

Step 5: Add a treatment recommendation system. After receiving all necessary inputs, the application should utilize the 'SurfaceTreatment' package to process the data and output a set of recommended treatments along with explanations for each recommendation.

Suggested Features:
- User-friendly interface for easy data entry.
- Detailed documentation on supported materials and their properties.
- Visual representation of surface roughness and proposed treatments.
- Option to save and load previous projects for future reference.
- Integration with external databases for more comprehensive material and treatment data.

Ensure that throughout the development process, you document how each part of the 'SurfaceTreatment' package is utilized, including any specific functions or methods called, to help other developers understand the implementation details.