AI Analysis
The package shows no immediate signs of malicious activity, but its metadata and description suggest it may be a placeholder for future use, raising suspicion about potential future risks.
- Minimal package activity and metadata
- Descriptive text indicates a placeholder status
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
- Shell: No shell execution detected, indicating the package does not perform system-level operations.
- 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 minimal activity and metadata, raising concerns about the maintainer's intent.
Package Quality Overall: Low (1.2/10)
No test suite detected
No test files or test-runner configuration detected
No documentation detected
No documentation URL, doc files, or meaningful description found
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
No GitHub repository linked
No GitHub repository link found
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "HSTLRlabs" 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 mini-application called 'Arborist' using the Python package 'arbour'. This application will serve as a tool for urban forestry managers to efficiently manage tree inventories within a city. Arborist should include the following functionalities: 1. **Tree Inventory Management**: Users should be able to add new trees to the inventory, update existing entries, and delete trees from the database. Each tree entry should contain details such as species, location (latitude and longitude), age, height, circumference, and health status. 2. **Health Assessment Tool**: Utilize the 'arbour' package's core features to assess the health of each tree based on its recorded data. The assessment should provide a score indicating the overall health of the tree, which can help in prioritizing maintenance efforts. 3. **Geospatial Visualization**: Implement a feature that visualizes all trees on a map using their geographical coordinates. This map should allow users to zoom in/out and pan around different areas of the city. Clicking on a tree marker should display its key information. 4. **Report Generation**: Develop a report generation module that creates detailed reports about the current state of the city's tree population. Reports should include statistics such as average tree age, most common species, and overall health score distribution. 5. **User Authentication**: Ensure that only authorized personnel can access and modify the tree inventory. Implement basic user authentication using tokens or session-based authentication. The 'arbour' package plays a crucial role in the health assessment tool by providing algorithms and models specifically designed for evaluating tree health. It processes the input data (age, height, circumference, etc.) and returns a health score for each tree, which is then used in the inventory management and reporting modules. Additionally, explore if 'arbour' offers any geospatial analysis capabilities that could enhance the visualization and reporting functionalities.
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