AI Analysis
The package shows signs of potential obfuscation and lacks transparency in metadata, suggesting it may pose a risk. However, there is no concrete evidence of malicious intent or network/shell exploitation.
- High obfuscation risk due to eval usage
- Sparse and unverified maintainer information
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell execution patterns detected, indicating no direct system command execution risk.
- Obfuscation: The use of eval with restricted builtins suggests potential for code injection and obfuscation, indicating a high risk.
- Credentials: No direct evidence of credential harvesting is found, but the presence of suspicious patterns warrants further investigation.
- Metadata: The repository is new, has no activity metrics, and the maintainer's information is sparse, raising suspicion.
Package Quality Overall: Low (3.4/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (1709 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed212 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 10 commits in eeeob/aldheeb-pytoolsSingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
No suspicious network call patterns found
Found 1 obfuscation pattern(s)
ry: c_value = eval(c_value, {"__builtins__": None}, {}) except Exce
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Git history flags: Repository created very recently: 4 day(s) ago (2026-06-02T20:44:59Z)
Repository created very recently: 4 day(s) ago (2026-06-02T20:44:59Z)Repository has zero stars and zero forks
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Your task is to develop a fully-functional mini-application called 'ServiceBot' that leverages the capabilities of the 'aldheeb-pytools' Python package. This application will serve as a versatile tool for managing various services and tasks. The primary goal is to create an intuitive command-line interface (CLI) that users can interact with to perform common service-related operations. ### Project Overview: - **Name:** ServiceBot - **Purpose:** To manage and automate service-related tasks using the 'aldheeb-pytools' package. - **Features:** - Service Discovery: List all available services that can be managed by the application. - Service Status: Check the status of a specific service. - Service Control: Start, stop, and restart services. - Service Configuration: Modify basic settings of a service. - Log Viewer: View recent logs of a selected service. - Task Scheduler: Schedule periodic tasks for services. ### Utilizing 'aldheeb-pytools': - **Service Discovery:** Use the 'aldheeb-pytools' package to discover and enumerate all services that are compatible with the application. - **Service Status & Control:** Implement functions within the package to check the status and control the operation of services (start, stop, restart). - **Service Configuration:** Leverage the configuration management tools provided by 'aldheeb-pytools' to modify service settings. - **Log Viewer:** Integrate the logging utilities from the package to display logs in a user-friendly manner. - **Task Scheduler:** Utilize the scheduling features of 'aldheeb-pytools' to allow users to schedule tasks for their services. ### Development Steps: 1. **Setup Environment:** Install Python and necessary packages including 'aldheeb-pytools'. 2. **Design CLI Interface:** Plan out the structure of the command-line interface, ensuring it's user-friendly and intuitive. 3. **Implement Core Features:** Write code to implement each feature listed above, making sure to utilize the 'aldheeb-pytools' package effectively. 4. **Testing:** Thoroughly test the application to ensure all features work as expected. 5. **Documentation:** Provide clear documentation on how to use the application and any setup instructions required. 6. **Deployment:** Package the application so it can be easily distributed and installed by other users. ### Additional Requirements: - Ensure the application is well-documented and includes a README file explaining its purpose, installation, and usage. - Include error handling to provide informative messages when issues arise. - Make the application extensible so additional services can be added in the future without major changes to the codebase.
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