AI Analysis
Final verdict: SAFE
The package exhibits no signs of malicious activities such as network calls, shell executions, or credential harvesting. However, it has low maintainer activity and poor metadata quality, which raises some concerns about its long-term maintenance and support.
- No network calls detected
- Low maintainer activity
- Poor metadata quality
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require internet access.
- Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
- Metadata: The package shows signs of low maintainer activity and poor metadata quality, but lacks clear indicators of malicious intent.
Package Quality Overall: Low (1.2/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ Low
Contributing Guide
2.0
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low
Type Annotations
1.0
No type annotations detected
No type annotations, py.typed marker, or stub files detected
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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
Author name is missing or very shortAuthor "" 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 artim-staging-cli
Your task is to develop a command-line utility named 'StagingManager' using the 'artim-staging-cli' Python package. This utility will serve as a powerful tool for managing deployment stages of various applications. The goal is to create a robust, user-friendly interface that allows developers to easily deploy, test, and rollback their applications across different environments (e.g., development, staging, production). ### Key Features: 1. **Environment Management**: Users should be able to define and manage multiple deployment environments within the utility. 2. **Deployment Commands**: Implement commands for deploying applications to specified environments. These commands should interact seamlessly with the 'artim-staging-cli' to handle the actual deployment process. 3. **Rollback Mechanism**: Provide a feature that allows users to roll back to previous deployment versions if issues arise post-deployment. 4. **Status Check**: Include functionality to check the status of deployments and the health of applications in each environment. 5. **Configuration Management**: Enable users to configure settings for each environment, such as specifying artifact locations, setting up authentication details, etc. 6. **Logging & Notifications**: Integrate logging capabilities and optional email notifications for critical events like successful deployments or failures. ### Utilization of 'artim-staging-cli': - Use the 'deploy' command from 'artim-staging-cli' to execute deployments to the target environments. - Leverage the 'rollback' functionality provided by 'artim-staging-cli' to implement the rollback mechanism. - Utilize 'status' checks offered by 'artim-staging-cli' to monitor the health and status of deployed applications. ### Additional Considerations: - Ensure the utility is modular and extensible, allowing for easy addition of new features or integration with other tools. - Focus on security best practices, especially when handling sensitive information like authentication credentials. - Aim for a clean, intuitive command structure and provide comprehensive documentation for users.
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