AI Analysis
Final verdict: SAFE
The package presents minimal risks as indicated by its low scores across various categories. While there is some concern due to the lack of a maintainer's author name and a GitHub repository, these factors alone do not suggest a malicious intent or supply-chain attack.
- Low network and shell execution risks
- No signs of obfuscation or credential harvesting
- Missing maintainer information and GitHub repository
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution patterns detected, indicating no direct system command execution attempts.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package has no associated GitHub repository and the maintainer's author name is missing, indicating potential low-level risk.
Package Quality Overall: Low (2.0/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (18729 chars)
○ 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
Email domain looks legitimate: scottrussell.net>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with athanore
Create a mini-application called 'TaskMaster' that integrates with project management tools like Jira or Asana using the Python package 'athanore'. TaskMaster will automatically poll these project management systems for tasks that are marked as 'ready' and then spawn AI agents to handle those tasks. The application should have the following functionalities: 1. **Configuration**: Allow users to configure their project management tool's API credentials and specify which statuses or labels indicate a task is 'ready'. 2. **Polling Mechanism**: Implement a robust polling mechanism to periodically check for new or updated 'ready' tasks. 3. **AI Agent Spawning**: Once a 'ready' task is identified, use 'athanore' to spawn an appropriate AI agent based on the task type or priority. 4. **Task Handling**: Each AI agent should be designed to perform specific actions related to the task (e.g., data analysis, content creation). 5. **Feedback Loop**: After the AI agent completes its task, TaskMaster should update the status of the task in the project management tool and log the outcome. 6. **Logging & Reporting**: Maintain detailed logs of all interactions between TaskMaster and the project management tool, as well as the performance of the AI agents. 7. **User Interface**: Develop a simple web interface for users to monitor the status of tasks and view reports generated by TaskMaster. 8. **Scalability**: Ensure that TaskMaster can handle multiple project management tools and a variety of AI agents without performance degradation. Use 'athanore' to manage the spawning and coordination of AI agents, leveraging its capabilities to integrate seamlessly with project management APIs and efficiently manage task workflows.
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