AI Analysis
Final verdict: SUSPICIOUS
The package shows low risks for obfuscation and credential harvesting. However, the maintainer's single package and missing repository raise concerns about the authenticity and reliability of the package.
- No obfuscation or credential harvesting patterns detected.
- Maintainer has only one package listed, and the repository cannot be found.
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of credential theft.
- Metadata: The maintainer has only one package and the repository is not found, raising some suspicion but not conclusive evidence of malice.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
) self._client = httpx.AsyncClient( base_url=self.api_url, headers={
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
score 3.0
Repository not found (deleted or private)
Repository not found (deleted or private)
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "ActionLayer" 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 actionlayer-mcp
Create a mini-application called 'ActionLayer Explorer' that leverages the 'actionlayer-mcp' package to allow users to explore and execute actions from the ActionLayer catalog within a secure session environment. This application will serve as a bridge between ActionLayer's browser-action catalog and users who want to interact with these actions without needing direct access to the ActionLayer platform. Here’s how you can structure your project: 1. **Setup**: Begin by installing the 'actionlayer-mcp' package using pip. Ensure your development environment is set up correctly with Python and any necessary libraries. 2. **User Interface**: Develop a simple yet intuitive user interface where users can log in or create a new session. This UI should allow users to browse through different categories of actions available in the ActionLayer catalog. 3. **Session Management**: Implement session management logic that securely handles user sessions. Each session should allow users to select and execute specific actions from the catalog, with credentials managed on a per-session basis as described by the 'actionlayer-mcp' documentation. 4. **Action Execution**: Utilize the 'actionlayer-mcp' package to facilitate the execution of selected actions within the user's session. Ensure that actions are executed securely and that only authorized actions are accessible based on the user's session permissions. 5. **Logging and Monitoring**: Include basic logging and monitoring capabilities to track user activity and action executions. This will help in debugging and ensuring the security and integrity of the system. 6. **Documentation**: Provide comprehensive documentation on how to use the 'ActionLayer Explorer', including setup instructions, usage guidelines, and troubleshooting tips. Suggested Features: - User-friendly interface for browsing and searching actions - Detailed descriptions and examples for each action - Secure login and session handling mechanisms - Real-time feedback and error messages during action execution - Integration with popular authentication services for enhanced security - Customizable settings for advanced users to tailor their experience By following these steps and incorporating these features, you'll have developed a valuable tool that simplifies interaction with the ActionLayer catalog and demonstrates the power and flexibility of the 'actionlayer-mcp' package.