AI Analysis
Final verdict: SAFE
The package has minimal risks associated with network calls, shell executions, and obfuscation. While there are concerns about metadata quality and low maintenance, these do not strongly indicate malicious activity.
- Low network and shell execution risks
- No signs of obfuscation or credential harvesting
- Metadata and maintenance quality concerns
Per-check LLM notes
- Network: No network calls detected, which is normal and expected.
- Shell: Shell executions appear to be for running linters and formatters, which is typical for ensuring code quality and formatting.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, suggesting legitimate usage without secret theft.
- Metadata: The package shows low maintenance and metadata quality, raising some suspicion but not strong indicators of malicious intent.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 10.0
Found 6 shell execution pattern(s)
) try: result = subprocess.run(cmd, capture_output=True, text=True, check=False) ruff linting.""" result = subprocess.run(["ruff", "check", "."], check=False) sys.exit(result.ree with ruff.""" result = subprocess.run(["ruff", "format", "."], check=False) sys.exit(result.ry formatted.""" result = subprocess.run(["ruff", "format", "--check", "."], check=False) sys.expe checking.""" result = subprocess.run(["mypy", "ado_asana_sync", "--ignore-missing-imports"], checth coverage.""" result = subprocess.run(["pytest", "--cov=.", "--cov-report=xml", "--cov-branch"], c
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: bsod.co.nz>
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 ado-asana-sync
Develop a fully-functional mini-application named 'SyncMaster' that leverages the 'ado-asana-sync' Python package to synchronize work items and pull requests between Azure DevOps and Asana. This application will serve as a bridge, ensuring that any updates made in one platform are reflected in the other, maintaining consistency and improving collaboration among teams. ### Step-by-Step Development Guide: 1. **Setup Project Environment:** Begin by setting up a virtual environment for your project and install the necessary packages including 'ado-asana-sync', 'requests', and 'python-dotenv'. 2. **Authentication Mechanism:** Implement a secure way to authenticate users for both Azure DevOps and Asana APIs. Use OAuth for Azure DevOps and Personal Access Tokens (PATs) for Asana. Store these tokens securely using environment variables. 3. **Data Synchronization Logic:** Utilize the 'ado-asana-sync' package to write functions that fetch work items and pull requests from Azure DevOps and create corresponding tasks in Asana. Ensure that the synchronization is bidirectional; changes made in Asana should also update Azure DevOps. 4. **Real-Time Sync Feature:** Integrate webhooks from Azure DevOps to trigger real-time synchronization whenever there's an update in work items or pull requests. Similarly, use Asana's API to listen for changes and update Azure DevOps accordingly. 5. **User Interface Design:** Develop a simple yet effective command-line interface (CLI) for users to interact with 'SyncMaster'. Allow them to specify which projects and boards they want to synchronize, configure settings, and manage their authentication credentials. 6. **Error Handling and Logging:** Implement robust error handling to deal with API rate limits, network issues, and data discrepancies between platforms. Log all actions performed by 'SyncMaster' for auditing purposes. 7. **Testing and Documentation:** Thoroughly test 'SyncMaster' across various scenarios to ensure reliability and accuracy. Write comprehensive documentation explaining how to set up and use the application, including examples of common configurations. ### Suggested Features: - Support for multiple Azure DevOps projects and Asana workspaces. - Customizable mapping of Azure DevOps fields to Asana task fields. - Option to exclude certain types of work items or pull requests from synchronization. - User-friendly CLI with options for configuration and management. - Detailed logs and reports on synchronization activities. By following these steps and implementing the suggested features, you'll create a powerful tool that enhances productivity and streamlines workflows for developers and project managers alike.