AI Analysis
Final verdict: SUSPICIOUS
The package shows low risks in terms of network calls, shell execution, and obfuscation. However, the metadata risk score is high due to the lack of author details and minimal repository activity, suggesting potential unreliability.
- High metadata risk due to newness and lack of author information
- No immediate technical red flags but suspicious metadata
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access 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 malicious intent.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The repository and package are very new, with no activity or author details, raising suspicion.
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: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 5.0
Git history flags: Repository created very recently: 2 day(s) ago (2026-06-03T21:26:15Z)
Repository created very recently: 2 day(s) ago (2026-06-03T21:26:15Z)Repository has zero stars and zero forks
Maintainer History
score 6.0
3 maintainer concern(s) found
Package is very new: uploaded 2 day(s) agoAuthor 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 agent-grammar
Create a Python-based mini-application that leverages the 'agent-grammar' package to generate and manage API documentation for HTTP APIs. This application will serve as a powerful tool for developers who need to quickly document their APIs without manually writing extensive documentation. Here are the steps and features you should include in your application: 1. **Application Setup**: Begin by setting up a Python virtual environment and installing the necessary packages, including 'agent-grammar'. Ensure that the application can be run on any standard Python setup. 2. **API Documentation Generation**: Implement functionality within the application that allows users to input details of their HTTP API endpoints, such as method types (GET, POST, etc.), endpoint URLs, request/response parameters, and descriptions. Use 'agent-grammar' to automatically generate comprehensive documentation based on these inputs, ensuring that the documentation is structured and follows best practices. 3. **Test-Gated Workflow**: Utilize 'agent-grammar's test-gated feature to ensure that the generated documentation is accurate and up-to-date. This involves running tests against the documented APIs to verify that the documentation matches the actual behavior of the API endpoints. 4. **Interactive User Interface**: Develop an intuitive command-line interface (CLI) that guides users through the process of adding, modifying, and viewing API documentation. The CLI should also provide real-time feedback on the accuracy of the generated documentation based on the test results. 5. **Export Options**: Include options for exporting the generated documentation into various formats, such as Markdown, HTML, or PDF, making it easy for teams to integrate the documentation into their existing workflows. 6. **Customization**: Allow users to customize the appearance and structure of the generated documentation, such as choosing different themes, adding custom headers/footers, or specifying sections that should be included or excluded from the final output. 7. **Version Control Integration**: Integrate the application with version control systems like Git to track changes in the API documentation over time. This will help maintain a history of updates and allow for easy rollback if necessary. 8. **Security Considerations**: Address security concerns by ensuring that sensitive information, such as API keys or private data, is not included in the exported documentation unless explicitly permitted by the user. By completing these steps, your application will become a valuable tool for developers looking to streamline their API documentation processes, leveraging the power of 'agent-grammar' to enhance productivity and accuracy.