AI Analysis
The package has minimal risks related to network usage, shell execution, and code obfuscation. However, the metadata risk due to a short email domain and a new maintainer account raises suspicion.
- Short email domain
- New maintainer account
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires network interactions for its functionality.
- Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
- Obfuscation: No obfuscation patterns detected, indicating low risk of code obfuscation for malicious purposes.
- Credentials: No credential harvesting patterns detected, suggesting the package does not engage in unauthorized secret collection.
- Metadata: The package shows some red flags such as a very short email domain and a newly created maintainer account with no other packages.
Package Quality Overall: Low (2.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (2488 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Limited contributor diversity
1 unique contributor(s) across 88 commits in jvicg/akcliSingle author but highly active (88 commits)
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Suspicious email domain flags: Very short email domain: pm.me
Very short email domain: pm.me
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor "Javier Correa Guerrero" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a command-line utility called 'AkamaiEdgeManager' using the Python package 'akcli'. This tool will allow users to manage their Akamai EdgeWorkers and Security configurations efficiently from the command line. The application should support the following key functionalities: 1. List all available EdgeWorker scripts for a given property. 2. Deploy new EdgeWorker scripts to specific properties. 3. Update existing EdgeWorker scripts on properties. 4. Delete EdgeWorker scripts from properties. 5. Enable or disable EdgeWorker scripts on properties. 6. Retrieve detailed information about a specific EdgeWorker script. 7. Manage Security configurations like enabling or disabling security rules on properties. The application should be designed with a user-friendly interface where users can authenticate once and then perform multiple operations without re-authenticating. Additionally, it should provide options for setting up default properties and configurations to streamline repetitive tasks. To utilize the 'akcli' package, you'll need to integrate its API request capabilities to interact with the Akamai API. Ensure that the application handles errors gracefully and provides informative messages to the user. Include a help menu that explains each command and its usage. This project aims to simplify the management of Akamai EdgeWorkers and Security configurations, making it easier for developers and system administrators to maintain their Akamai infrastructure.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue