AI Analysis
Final verdict: SAFE
The ansible-doctor package poses minimal risk based on the analysis. It does not engage in network calls, shell executions, or obfuscation, and there are no signs of credential harvesting. The primary concern is the maintainer's limited package history, but this alone is insufficient to conclude malicious intent.
- No network calls
- No shell executions
- No obfuscation
- No credential harvesting
- Single package from maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communication.
- Shell: No shell executions detected, indicating the package does not execute system commands that could be exploited.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Medium (6.4/10)
◈ Medium
Test Suite
6.0
Partial test coverage signals detected
Test runner config found: pyproject.toml
✦ High
Documentation
9.0
Well-documented package
Documentation URL: "Documentation" -> https://ansible-doctor.geekdocs.de/Detailed PyPI description (2716 chars)Classifier: Documentation
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
41 type-annotated function signatures detected in source
✦ High
Multiple Contributors
8.0
Active multi-contributor project
3 unique contributor(s) across 100 commits in thegeeklab/ansible-doctorSmall but multi-author team (3–4 contributors)
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: thegeeklab.de
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository thegeeklab/ansible-doctor appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Robert Kaussow" 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 ansible-doctor
Create a fully-functional mini-application named 'AnsibleDocGen' that leverages the 'ansible-doctor' Python package to generate comprehensive documentation for Ansible roles. The application should be designed to be user-friendly, allowing both novice and experienced users to easily document their Ansible roles. Here are the steps and features your application should include: 1. **Setup**: Begin by installing 'ansible-doctor' and setting up a basic command-line interface (CLI) for interacting with the application. 2. **Role Input**: Develop a feature within the application that allows users to input the path to their Ansible role directory. The application should validate the input to ensure it points to a valid Ansible role structure. 3. **Documentation Generation**: Use 'ansible-doctor' to automatically generate documentation based on the annotations found within the Ansible role files. Ensure that the generated documentation includes all relevant information such as variables, tasks, handlers, and dependencies. 4. **Template Customization**: Allow users to customize the look and feel of the generated documentation by selecting from a set of predefined templates or uploading their own custom HTML/CSS templates. 5. **Output Options**: Provide options for users to output the generated documentation in various formats such as HTML, Markdown, or PDF. Additionally, allow the option to directly publish the documentation to a GitHub repository or other online platforms. 6. **User Interface**: Design a simple and intuitive user interface for the CLI, ensuring that commands are easy to understand and execute. Consider adding help messages and examples to guide users through the process. 7. **Error Handling and Logging**: Implement robust error handling to manage any issues that arise during the documentation generation process. Log these errors for troubleshooting purposes and provide meaningful feedback to the user. 8. **Testing**: Create a suite of tests to verify the functionality of 'AnsibleDocGen', including edge cases and scenarios where input might not be as expected. By following these steps and incorporating these features, you will create a valuable tool for anyone working with Ansible roles, making the process of generating and managing documentation more efficient and effective.
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